ChatGPT answers, unedited

For an enterprise selling large datasets, I’d separate the problem into commerce/checkout versus secure data delivery and governance. If access logging and permissions are first-class requirements, a generic ecommerce digital-download app is usually not the strongest foundation.

Best fits

Egnyte is particularly compelling if your customers need controlled access to substantial datasets rather than simply receiving a download link. It supports granular permissions, SSO/MFA/AD integration, and detailed activity logging. Its Document Room product adds controls over who can view, download, print, or edit content and provides engagement information about who accessed documents. www.egnyte.com

DocSend Advanced Data Rooms is worth a serious look if your sales model resembles licensing, due diligence, research-data subscriptions, or high-value datasets delivered to individual customers. Its current Advanced Data Rooms offering includes page/file-level analytics, group permissions, and filterable/exportable audit logs covering activities such as views, downloads, printing, collaborator changes, and bulk downloads. help.dropbox.com

SendOwl is much more ecommerce-oriented. It has useful controls—download limits, expiration, revocation, buyer-specific PDF stamping—and integrates with Shopify, but its security model is primarily about controlling digital-product downloads rather than providing a comprehensive enterprise governance/audit layer. help.sendowl.com

What I'd choose

If you're selling $10K–$1M+ datasets to enterprises, I'd lean toward:

Commerce/CRM → entitlement → Egnyte/DocSend → dataset delivery

That gives you a cleaner separation between "customer paid for Dataset X" and "Customer A's users are authorized to access Dataset X, and here's exactly what they did."

For your requirements, I'd specifically test these capabilities in a vendor evaluation:

• Per-customer and per-user entitlements
• SSO/SAML and SCIM provisioning
• Granular folder/file permissions
• Download vs. preview-only permissions
• Expiring/revocable access
• Complete download/view/share audit trail
• API access to audit events
• SIEM integration
• IP/device restrictions
• Bulk-download detection
• Usage analytics by customer/dataset
• Automated deprovisioning when a license expires
• Large-file/large-dataset performance
• Data retention and immutable audit-log options

One particularly important distinction: "analytics" isn't necessarily "audit logging." For enterprise customers, I'd require both. Dropbox, for example, documents activity reporting with filtering and CSV export, while DocSend explicitly provides audit logs plus data-room analytics. www.dropbox.com

If you tell me your dataset size (GB/TB), typical deal size, whether customers need API access, and whether you're selling one-off purchases or subscriptions, I can narrow this to the 3 strongest architectures and estimated cost/complexity tradeoffs.

For selling large datasets, I’d lean toward an enterprise file-delivery/content platform rather than a conventional ecommerce digital-download app. The key distinction is whether your primary requirement is selling a product or controlling and auditing access to valuable data after purchase.

Strongest options

My pick: Egnyte or FileCloud

Egnyte looks particularly well aligned if your customers are businesses and you need to prove exactly who accessed what. Its audit reporting records timestamp, user, IP address, access interface, device, action, and information about download/link activity. It also supports granular permissions and permission-change auditing. Egnyte Helpdesk Egnyte Helpdesk

egnyte.com

FileCloud is arguably even more interesting if dataset delivery is the core use case. It explicitly supports large files with no stated size limit, external accounts, download limits, expiration dates, granular folder permissions, and comprehensive audit logs. Its analytics include usage trends and access by geography. FileCloud FileCloud

filecloud.com

Why I wouldn't use Shopify's native digital downloads

Shopify is good at checkout and ecommerce, but its native Digital Downloads app has a 5 GB maximum file size, and its controls are primarily download fulfillment rather than sophisticated dataset governance. It does record download time, IP, browser, and OS, but that's a considerably narrower audit model than an enterprise file platform. Shopify Help Center

So if you're selling, say, 50 GB–multiple-TB datasets, I'd architect it as:

Customer → Ecommerce/B2B checkout → entitlement → secure dataset delivery → detailed access/audit layer

rather than putting the actual datasets inside the ecommerce platform.

One architecture I'd seriously consider

For an enterprise data vendor, I'd separate commerce from data delivery:

• Commerce: BigCommerce/Shopify or your own B2B checkout for pricing, contracts, invoicing, coupons, subscriptions, etc.
• Identity: SSO/SAML/OIDC + customer/user accounts.
• Entitlement service: Maps a customer's purchase/contract to specific datasets and permissions.
• Storage: S3/Azure Blob/etc.
• Delivery layer: Egnyte/FileCloud or a custom authenticated download/API layer.
• Audit: Capture dataset ID, customer, individual user, timestamp, IP, action, bytes/download status, and expiration.
• Analytics: Customer-level usage, most-accessed datasets, downloads over time, geographic access, anomalous access, and renewal/upsell signals.

That gives you something much more valuable than merely "download tracking": an auditable record of which customer and which human user consumed which dataset.

If you tell me roughly dataset size (GB/TB), number of customers, whether customers need APIs as well as downloads, and whether you need one-time purchases vs subscriptions, I can narrow this to 2–3 architectures and compare their pricing/limitations.

For an enterprise selling large datasets, I would generally avoid a traditional ecommerce file-download stack and choose a platform designed around data entitlement, auditability, and controlled delivery. The right choice depends on whether customers download files, query data, or access through APIs.

Here are the strongest categories:

Strong enterprise options

AWS Data Exchange

Best fit if you want to sell datasets through a cloud-native marketplace.

Strengths:

• Dataset subscriptions and entitlement management
• Integration with AWS storage and analytics
• Enterprise buyer workflows
• Usage monitoring through AWS tooling

Good for: recurring dataset subscriptions where buyers already operate in AWS.

Snowflake (Marketplace / Secure Data Sharing)

Often the strongest option for commercial data providers.

Strengths:

• Customers query data without downloading copies
• Fine-grained access controls
• Usage visibility
• Governance and compliance controls
• Scales well for very large datasets

Good for: data products where the value is in ongoing access rather than a one-time file download.

Databricks (Delta Sharing / Marketplace)

Good for analytics-heavy enterprise customers.

Strengths:

• Governed data sharing
• Audit logs
• Identity-based access
• Integration with enterprise analytics environments

Databricks supports audit log delivery for monitoring user activity and access patterns. Databricks Documentation Databricks Documentation

Good for: AI training data, analytics datasets, lakehouse customers.

Cloudflare (R2 + signed URLs + analytics)

Good if you want to build your own delivery platform.

Strengths:

• Very large file delivery
• Signed URLs
• Edge delivery
• Custom customer portal possible
• Lower egress costs compared with some alternatives

Good for: a branded marketplace experience where you own the customer relationship.

Tresorit Enterprise

Better for secure file exchange than massive dataset distribution.

Strengths:

• Detailed access logs
• Shared-link controls
• Recipient analytics

For example, its enterprise document analytics can show who opened files, viewing duration, and access history. Tresorit Support

Good for: confidential datasets delivered to a limited number of enterprise clients.

If you need ecommerce-style checkout + dataset fulfillment

Look at a hybrid architecture:

1. Commerce layer

• Stripe Billing / subscriptions
• Contract management or CRM integration
• Identity + entitlement layer

• Enterprise SSO (SAML/OIDC)
• Customer organizations
• Roles and permissions
• Data delivery layer

• Snowflake sharing
• AWS S3 + signed URLs
• Databricks sharing
• API gateway
• Analytics layer

Track:

• Who accessed what dataset
• When they accessed it
• Number of downloads/query volume
• Customer usage trends
• Failed access attempts
• Contract/license compliance

For raw file delivery, Amazon S3 supports access logging that records request details useful for security audits and usage analysis. AWS Documentation

My shortlist by business model

• Selling continuously updated datasets: Snowflake Marketplace or Databricks Marketplace
• Selling downloadable data packages: AWS S3 + entitlement system + Stripe
• Selling regulated/confidential datasets: Tresorit Enterprise or a governed data-sharing platform
• Selling AI training datasets: AWS Data Exchange, Snowflake, Databricks, or a custom portal on object storage
• Building a full commercial data storefront: Custom portal + Stripe + cloud storage + IAM + audit pipeline

A few questions would narrow this down:

1. Are customers downloading files (CSV/Parquet/JSON) or querying the data directly?
2. Typical dataset size: GB, TB, or PB?
3. Do you need one-time purchases, subscriptions, or usage-based billing?
4. Are customers mostly in AWS/Azure/GCP, or independent enterprises?

For an enterprise selling large datasets, I’d avoid treating this as a conventional ecommerce “digital download” problem. You really need commerce + secure data delivery + identity/permissions + download-level auditability.

Best fits

For your particular use case, Hugging Face Enterprise is unusually interesting if your datasets are the product. Its Enterprise Plus offering can export request-level access logs for models and datasets, including timestamp, HTTP status/method, dataset/repository, anonymized user/IP information, geography and user agent. huggingface.co It also has organization audit logs covering administrative/security activity. huggingface.co

If you need a true storefront, I'd lean toward WooCommerce backed by S3-compatible object storage/CDN, rather than trying to make the ecommerce server itself deliver multi-GB/TB files. WooCommerce supports external/cloud storage for very large files and has download permissions and download analytics built in. woocommerce.com

Easy Digital Downloads is another strong ecommerce-oriented option. Its download logs can record date, downloader, IP address and product file, and its API exposes download logs for downstream analytics. easydigitaldownloads.com

What I'd build for an enterprise dataset business

A good architecture would be:

Storefront / checkout
→ customer identity + SSO
→ entitlement service
→ private object storage
→ short-lived signed download URLs
→ CDN/data-transfer layer
→ centralized access/audit logs → SIEM/BI

That gives you the ability to answer questions such as:

• Who purchased dataset X?
• Which individual users are authorized to access it?
• Who actually downloaded it?
• When, from where, and how much?
• How many times has a customer downloaded it?
• Did an employee's permissions change before/after a download?
• Can we immediately revoke access?
• Can customers have multiple users under one enterprise license?
• Can we distinguish preview/access from actual data export?

For enterprise datasets, I'd prioritize identity and entitlement management over ecommerce features. A customer buying a $100k dataset often isn't a single “buyer downloading a ZIP”; it's an organization with multiple authorized users, contractual restrictions, renewals, and potentially different permissions by dataset/version.

My shortlist:

1. Hugging Face Enterprise Plus — best if the datasets themselves are the core product and you want sophisticated dataset-centric access analytics.
2. WooCommerce + private object storage/CDN — best if you need a conventional ecommerce storefront and maximum control.
3. Palantir Foundry — best if customers need controlled analytical access to the data rather than simply downloading files; its download controls combine RBAC, download checkpoints and audit logs. palantirfoundation.org
4. Easy Digital Downloads — attractive if you want a simpler WordPress-based digital-product commerce layer.

If you tell me roughly dataset size (GB/TB), delivery model (one-time download vs API/S3 access), typical contract value, and whether customers require SSO/SAML, I can narrow this to the 2–3 architectures I'd actually consider for an enterprise data vendor, including estimated costs and implementation complexity.

For an enterprise selling large datasets, I’d separate the options into two categories: purpose-built secure delivery platforms and build-your-own delivery on cloud infrastructure.

My shortlist

1. AWS S3 + CloudFront — my choice for very large datasets

If you're selling GB/TB-scale datasets, this is probably the architecture I'd investigate first.

You can put the datasets in S3 and deliver them through CloudFront using short-lived signed URLs or signed cookies. CloudFront supports custom policies including expiration windows and, where appropriate, IP restrictions. docs.aws.amazon.com

The important part for your requirement is observability: CloudFront provides detailed request access logs, real-time access logs, and AWS CloudTrail for API activity. The logs can be used for security audits, historical analysis, monitoring, and dashboards. docs.aws.amazon.com

You can also identify requests made using S3 presigned URLs through S3 server access logs or CloudTrail data events. docs.aws.amazon.com

Architecture I'd consider:

Customer → your licensing/auth system → signed CloudFront URL → S3

Your application maintains the business relationship:

• customer/account
• dataset purchased
• individual users
• entitlement/expiration
• download history
• IP/device information
• API usage
• billing

CloudFront/S3 handles the actual high-volume delivery.

Downside: you have to build the customer-facing portal, entitlement system, analytics UI, etc. It's infrastructure rather than an out-of-the-box ecommerce product.

2. Digify — strongest turnkey option for tracking buyers

Digify is particularly interesting if your datasets are delivered as documents/files and knowing exactly what a prospective customer did with them is important.

It offers granular permissions by user, group, or domain, download/print/view controls, expiration and revocation, plus page-level tracking. digify.com

Its audit trail can record access identity, timestamp, viewing duration, pages viewed, downloads, permission changes and revocations. It also offers a data-room/API product with webhooks for document events. digify.com

That's attractive if your sales team wants analytics like:

Acme Corp → Jane Smith → opened Dataset A → viewed 87% → downloaded → shared with Bob → access revoked

rather than merely seeing HTTP download logs.

The catch is that Digify is much more naturally oriented toward documents/data rooms than enormous machine-readable datasets.

3. Tresorit Enterprise — excellent security-oriented alternative

Tresorit has detailed access logs covering timestamps, files, visitors, IP addresses, platforms and actions, with CSV export. support.tresorit.com

Its Enterprise tier also provides document analytics showing who opened a file, how much they viewed, and how long they spent viewing it. support.tresorit.com

One important limitation: Tresorit's document analytics mode disables downloading, so it isn't necessarily appropriate if your core product is "customer purchases a 500 GB dataset and downloads it." support.tresorit.com

What I'd choose

If your product is something like "buy a 20 GB–5 TB dataset and download it", I'd lean strongly toward:

Stripe/ecommerce → your entitlement service → S3 → CloudFront → customer

rather than trying to make a traditional ecommerce/file-sharing platform carry the entire workload.

If the product is more like "customer gets access to a curated collection of files/data and we need sophisticated buyer engagement tracking", I'd evaluate Digify first.

And if security/privacy is the primary selling point, I'd put Tresorit Enterprise on the shortlist.

The key distinction is that download analytics and business analytics are different things. AWS can give you extremely granular delivery telemetry, but you need to associate those requests with your customer/account yourself. Digify/Tresorit give you more of that identity-and-content layer out of the box.

If you tell me roughly dataset size (e.g. 10 GB vs 10 TB), delivery model (one-time purchase vs subscription), and whether customers need API access as well as downloads, I can narrow this to the best 2–3 architectures and compare their likely costs.

Yes. For an enterprise selling large datasets to external customers, I’d separate the options into two categories: customer-facing file delivery and true data-commerce/data-marketplace platforms.

My shortlist

If you're actually selling datasets

I'd lean toward AWS S3 + a customer-facing commerce/access layer rather than trying to make a conventional file-sharing product behave like ecommerce.

You can keep the actual datasets in S3 and issue controlled access through your application. AWS documents a pattern where presigned URLs can be associated with individual requesters and then analyzed through S3 logs/Athena, allowing you to track who downloaded what and even use the information for usage-based charging. aws.amazon.com

That gives you the flexibility to build metrics such as:

• Customer → dataset → file/object
• Download count and volume
• First/last access
• Users within each customer organization
• API vs browser access
• Revenue vs actual consumption
• Expired/revoked access
• Geographic/IP information
• Dataset popularity
• Contract/license entitlement

For a product where access analytics are part of the commercial model, this is substantially more flexible than ordinary file sharing.

If you don't want to build the infrastructure

Box Enterprise is probably my first choice for a polished enterprise customer portal. Box supports granular permissions, SSO/MFA, shared-link controls, centralized audit logs, historical reporting and SIEM/CASB integrations. Its admin console reports on 300+ actions. www.box.com

Box Shield adds classification-based access policies, download restrictions, anomaly detection and security alerts. www.box.com

Box Enterprise / Security

ShareFile is another particularly good fit if your customers need a client portal rather than a generic cloud drive. It supports independent view/download/upload/edit/delete permissions, folder-level controls, sign-in requirements, expiration, audit trails and download alerts. www.sharefile.com

ShareFile Enterprise

For multi-hundred-GB/TB transfers, I'd look seriously at MASV. Its strength is transfer rather than document collaboration: it provides immutable audit trails, real-time transfer activity, download notifications and centralized usage dashboards. masv.io

MASV Enterprise File Transfer

If the datasets are consumed directly as data

This changes my recommendation considerably.

If your customers are buying things like financial datasets, geospatial data, market intelligence, healthcare data, ML datasets, etc., rather than simply downloading ZIP files, I'd investigate Snowflake Marketplace or a dedicated data marketplace.

Snowflake provides data-product discovery and enterprise RBAC/governance, while customers can consume data without you repeatedly shipping enormous files. www.snowflake.com

Snowflake Marketplace

Collibra and Actian are more oriented toward governed data catalogs/marketplaces: dataset discovery, access requests, permissions, governance and auditability. Actian explicitly positions its marketplace as an e-commerce-like experience for publishing and requesting data products. www.actian.com

What I'd choose

For your description, I'd rank them:

1. AWS S3 + custom customer portal — best if dataset sales, usage metering and analytics are strategically important.

2. Snowflake Marketplace — best if customers can consume the data in a warehouse/cloud environment rather than downloading files.

3. Box Enterprise + Shield — best turnkey option if customers primarily need secure downloads/data rooms and you want minimal engineering.

4. ShareFile Enterprise — excellent alternative when the customer relationship revolves around a portal and managed file exchange.

5. MASV — best when the dominant problem is reliably delivering extremely large files, rather than selling/cataloging datasets.

The key question is whether you need "who downloaded this 4-TB dataset?" tracking or "which customer/users are entitled to this data product, what did they consume, and how much should we bill them?" analytics. The latter pushes me strongly toward S3/custom application or a data marketplace, rather than Box/ShareFile.

For an enterprise selling large datasets, you’ll usually want something beyond a normal ecommerce store. The key capabilities to look for are:

• Identity-aware access control (per customer, organization, role, contract)
• Download/view audit trails
• API-based delivery
• Expiration controls and revocation
• Usage analytics (who accessed what, when, how much)
• SSO/SAML + SCIM
• Watermarking or controlled previews
• SIEM export / compliance reporting

The best fit depends on whether you sell datasets as files, API access, or a data marketplace.

Strong enterprise options

1. AWS S3 + CloudFront + IAM (most scalable)

• Best if datasets are tens of GBs to PBs.
• You can issue customer-specific credentials or signed URLs.
• Access logs can feed analytics/security systems. AWS supports access logging through services such as CloudWatch, Firehose, and S3. docs.aws.amazon.com
• Common architecture:
  • Customer portal → authentication → entitlement check → signed download URL
  • S3 stores datasets
  • CloudFront accelerates delivery
  • Logs feed into analytics/SIEM

Good for: data vendors, AI training datasets, geospatial data, financial datasets.

2. Snowflake Marketplace (best for data-as-a-product)
If customers mainly want to query the data rather than download files, this is often the cleanest model:

• No file transfer bottleneck
• Fine-grained governance
• Usage tracking
• Customers can consume data directly in their warehouse environment

3. Box Enterprise / Egnyte / Tresorit (best for secure file sales)
For customers expecting “download a dataset package,” enterprise content platforms provide:

• User/group permissions
• Audit logs
• External sharing controls
• Governance workflows

For example, Tresorit Enterprise supports detailed shared-link analytics, including access logs and viewing activity. support.tresorit.com

4. Secure data rooms (best for high-value datasets)
For datasets sold for six figures or more, consider:

• Datasite
• Intralinks

These are common in M&A, research partnerships, and regulated industries because they emphasize:

• Viewer tracking
• Document-level permissions
• Expiration
• Audit evidence

My typical recommendation for a dataset vendor

If you sell recurring datasets:

Build a customer portal + AWS S3/CloudFront + entitlement service + analytics pipeline.

If you sell one-off premium datasets:

Use a secure data room or enterprise file platform.

If customers analyze the data:

Publish through Snowflake Marketplace or Databricks Marketplace.

A few questions would narrow the choice:

1. Are customers downloading files (CSV/Parquet/ZIP) or querying data through APIs/SQL?
2. Typical dataset size: GB, TB, or PB?
3. Do you need metered billing (charge per download/API usage) or just license-based access?
4. Any compliance requirements (SOC 2, HIPAA, FedRAMP, GDPR, etc.)?

For an enterprise selling large datasets (not just PDFs or simple digital downloads), you usually want a platform that combines:

• Identity & access management (SSO/SAML, SCIM, RBAC, customer accounts)
• Granular permissions (dataset-level, file-level, API-level entitlements)
• Download/view/query logging
• Customer usage analytics (who accessed what, when, volume consumed)
• Audit trails for compliance
• API delivery controls (tokens, rate limits, revocation)
• Contract/license enforcement

The best fit depends on whether customers are downloading files, querying data, or consuming APIs.

Strong enterprise architectures

1. Dataset subscription marketplace (most scalable)

• Commerce layer: subscription, contracts, invoicing
• Data layer: governed storage/catalog
• Delivery layer: APIs, shares, or controlled downloads
• Analytics layer: customer usage dashboards

Example stack:

• Snowflake or Databricks for governed datasets
• Stripe/Paddle for billing
• S3/R2 for bulk file delivery
• BI dashboard for customer usage

Databricks, for example, supports audit log delivery that can be analyzed for usage monitoring. docs.databricks.comspreecommerce.org

2. Secure file download portal (simpler)
Use when customers mostly buy ZIP/CSV/Parquet files.

Look for:

• Expiring download links
• Watermarking
• Download counts
• IP/user-agent logging
• Customer-specific permissions

Some digital product platforms provide download tracking and protected time-limited URLs, though enterprise dataset sellers often outgrow these and move to dedicated data platforms. spreecommerce.org

3. Data API model (best for recurring revenue)
Instead of selling files:

• Customer gets API credentials
• Meter requests/volume
• Enforce quotas
• Track usage for billing

This is common for premium datasets because you can measure consumption precisely.

Features I would require in an RFP

Security

• SAML/OIDC SSO
• SCIM provisioning
• MFA
• RBAC/ABAC permissions
• Encryption at rest/in transit
• Customer-specific isolation

Analytics

• User login history
• Dataset access events
• Download/query volume
• Geographic usage
• API consumption
• Failed access attempts
• Export reports

Governance

• Immutable audit logs
• Retention policies
• Compliance exports
• Admin activity tracking

For a company selling high-value datasets, I would generally avoid a traditional ecommerce download store as the core system. A data platform + entitlement layer + billing system is usually the enterprise-grade pattern.

If you share:

1. average dataset size (GB/TB/PB),
2. delivery method (download vs API vs cloud share),
3. customer type (enterprises, researchers, consumers), and
4. whether you need usage-based billing,

I can narrow this to a short list of platforms.

For selling large datasets, I’d avoid treating this as a conventional “digital-download ecommerce” problem. You want a platform that combines commerce/entitlements + secure data delivery + identity + detailed access telemetry.

My shortlist

Vendure is particularly interesting if you're willing to build a branded storefront around it. Its enterprise functionality includes SSO, fine-grained permissions and append-only audit logging, including who changed what, when, and from where; it can also record logins and, where configured, who viewed sensitive records. vendure.io

Vendure Enterprise / governance features

For the data-delivery layer, Databricks is substantially stronger than ecommerce platforms if your customers need governed access to large datasets rather than simply downloading ZIP files. Its audit system can capture detailed usage and export audit logs to cloud storage for analysis. docs.databricks.com

Databricks audit logging documentation

If your model is “customer buys dataset → gets controlled download”

A solution such as ChargePanda has the right basic primitives: entitlement-based access, signed/expiring URLs, revocation, versioned files, and logs identifying who downloaded what and when, including IP/user context. www.chargepanda.com

But for large enterprise datasets, I'd want more than that:

• SAML/OIDC SSO
• SCIM provisioning/deprovisioning
• Organization/company-level accounts
• RBAC/ABAC
• Dataset-level and ideally row/column-level permissions
• Expiring/revocable download URLs
• Download/view/API-access events
• IP, user, organization, timestamp and dataset/version in every event
• API access with per-customer credentials
• Rate limits and download quotas
• Webhooks
• Exportable audit logs / SIEM integration
• Long-term retention
• Usage analytics by customer, dataset and user
• Watermarking or customer-specific dataset versions where appropriate

One important distinction

If your datasets are GB/TB-scale and customers consume them repeatedly, I'd strongly favor a data platform + commerce layer rather than an ecommerce download service.

A good architecture would be:

Storefront / billing → customer entitlement service → governed data delivery → central audit/analytics

That gives you the ability to answer questions like:

“Which users at Acme downloaded Dataset X, version 7, how many times, from which IPs, through which API credentials, and what did they access afterward?”

rather than merely:

“Did someone purchase Dataset X?”

For comparison, enterprise VDRs are very good when the dataset is effectively a high-value transaction/deal asset: they can track logins, views, downloads and permission changes and provide detailed audit reports. expero.co

My recommendation: if you tell me whether your datasets are typically (a) downloadable files, (b) APIs, (c) Snowflake/Databricks data shares, or (d) a combination, and roughly the $1K–$100K+ price range, I can narrow this to 3–5 specific platforms and compare their RBAC, SSO, audit logs, download telemetry, APIs, pricing, and white-label capabilities.

Yes. For an enterprise selling large datasets, I’d separate the options into three categories rather than treating this as ordinary ecommerce.

My recommendation

If your customers are data/analytics teams, Bobsled is probably the most interesting option. It is specifically designed around commercializing data products rather than merely transferring files. It can deliver data into customers' warehouses, cloud storage or FTP, while providing granular entitlements and usage telemetry so you can see what customers actually consume. www.bobsled.com

If your business model is instead:

Customer pays → gets access to a 50 GB–multi-TB dataset → downloads files

I'd look hardest at FileCloud or a custom S3 + CloudFront architecture. FileCloud supports large files, granular folder/subfolder permissions, download limits, expiring shares, external users, and comprehensive audit trails. www.filecloud.com

For maximum control, S3 + CloudFront is the strongest building block. CloudFront can enforce expiring signed URLs, IP restrictions, and authenticated access, while its access logs provide detailed request-level telemetry and can feed CloudWatch, S3 or Firehose for analytics. docs.aws.amazon.com

One important distinction

I wouldn't make a conventional ecommerce platform the core of this. Shopify/Stripe/etc. are good at:

customer → checkout → payment → entitlement

but they're not inherently optimized for:

customer → dataset entitlement → individual asset access → download/query telemetry → audit trail → revocation → usage-based billing.

For a dataset company, I'd want these capabilities:

• Per-customer/per-contract entitlements
• User/group-level permissions
• SSO/SAML and SCIM
• Expiring/revocable access
• Download/view/query logs
• IP, timestamp and user/device information
• API/webhooks for provisioning and revocation
• Usage analytics by customer + dataset + asset
• Ability to export logs to your SIEM/data warehouse
• Optional watermarking or customer-specific copies
• Usage metering if you eventually charge based on consumption

Shortlist:
Bobsled if you're selling data products → S3/CloudFront if you're building a bespoke platform → FileCloud if you're primarily selling downloadable files → ShareFile if the workflow is more traditional enterprise/client file exchange.

If you tell me roughly dataset size, number of customers, whether customers download files vs. query data, and whether you need Stripe/online checkout, I can narrow this to 2–3 architectures and compare their likely cost/complexity.

Yes. For an enterprise selling large datasets, I’d separate the options into two categories: customer-facing secure delivery and enterprise content/file platforms.

My recommendation

If you're selling datasets commercially, I'd look hardest at either Digify or an S3-backed custom delivery portal.

1. Digify — best turnkey option

Digify is particularly attractive if customers need to browse a data room, receive controlled downloads, and you want sales/customer-success teams to see engagement.

It supports granular permissions at the user/group, folder, and file level, including view/print/download rights. Its tracking includes access, views, downloads, permission changes and revocations, with audit logs that can be exported. digify.com

It also has an API and webhooks, which is useful if you eventually want to connect customer access to your CRM, billing system, or entitlement system. digify.com

2. ShareFile — strong traditional enterprise choice

ShareFile gives you particularly granular permissions: view, download, upload, edit, delete, and manage-permissions can be controlled independently. It also provides activity monitoring and access reports. www.sharefile.com

I'd favor it if your customers are corporate/legal/financial organizations and you want a conventional enterprise file-sharing experience rather than a "dataset storefront."

3. S3 + customer portal — what I'd choose at serious scale

If your datasets are hundreds of GBs to multiple TBs, I'd seriously consider putting the actual data in Amazon S3 and building the commercial/entitlement layer separately.

S3 lets you keep objects private and issue time-limited presigned URLs. docs.aws.amazon.com More importantly for your requirement, AWS CloudTrail can log object-level operations such as GetObject, PutObject, and DeleteObject, giving you an authoritative access trail. docs.aws.amazon.com

That architecture could look like:

Customer → your dataset storefront → entitlement/payment check → short-lived S3 URL → dataset

Then you can record:

• customer/account
• individual user
• dataset/version
• purchase/license
• download requested
• download started/completed
• IP/device metadata
• timestamp
• bytes transferred
• expiration/revocation
• API vs browser access
• repeated downloads / suspicious behavior

That gives you much better commercial analytics than relying solely on a file-sharing product.

One important distinction

If by "analytics" you mean "Did Acme Corp download Dataset X?", these platforms are all capable.

If you mean "Which customers are consuming which datasets, how frequently, what percentage of their entitlement have they consumed, and what should Sales/CS know?", I'd avoid making the file-delivery platform your analytics system. Put an entitlement + event layer in front of S3 and send events into your warehouse/BI system.

For a dataset company, my rough ranking would be:

S3 + custom customer portal → best long-term architecture
Digify → best turnkey customer-facing experience
ShareFile → best conventional enterprise file delivery
Box Enterprise → best if customers already live in Box
Dropbox/DocSend → strongest when the distribution process is sales/data-room oriented

If you tell me roughly dataset size (GB/TB), number of customers, whether customers download files or query an API, and whether you're charging per dataset/subscription/usage, I can narrow this to a specific architecture and vendor shortlist.

For an enterprise selling large datasets, I’d favor a secure data/file-delivery platform over a conventional ecommerce download plugin. Your requirements are closer to B2B data distribution + entitlement management + auditability than ordinary digital commerce.

Best fits

1. Box — my default recommendation.
Box supports large files, granular file/folder permissions, expiring links, password protection and multiple permission levels. Its Admin Console provides visibility into content access and extensive audit trails, while Box Shield can add download restrictions, classification-based policies and anomaly detection. www.box.com

That's particularly compelling if your customers are enterprises and you need to answer questions like "Which employee at customer X downloaded dataset Y, when, and from where?" rather than simply recording that an order was completed.

2. FileCloud — strongest if the delivery/security side dominates.
FileCloud's audit trail records actions such as uploads, downloads, sharing, logins and permission changes, with details including timestamp, user, IP and device. It also supports exporting logs and sending system logs to SIEM platforms such as Splunk. www.filecloud.com

3. Fast.io — interesting if customer experience and engagement analytics matter.
Its portals specifically track who opened the portal, which files they downloaded and how long they spent reviewing documents, alongside per-file view/download counts and real-time access notifications. It also logs views, downloads and permission changes. www.fast.io

That makes it unusually attractive if your sales team wants to know not just whether a customer received the dataset, but whether they are actually engaging with it.

4. WooCommerce — use it primarily as the commerce layer.
WooCommerce can require login for downloads and maintains download logs/reporting, but its native digital-download capabilities are more merchant-oriented than enterprise data-governance-oriented. woocommerce.com I'd pair it with dedicated object storage/CDN and an entitlement/access-control layer rather than make WooCommerce responsible for protecting very large datasets.

One important architectural point

For multi-GB/TB datasets, I'd avoid having the ecommerce application directly serve the files. A better architecture is:

Commerce/order system → customer entitlement → authenticated delivery portal → object storage/CDN → immutable audit/event pipeline → analytics/SIEM

That lets you separately control:

• Who can access a dataset
• Which datasets/versions they're entitled to
• Whether downloading is allowed
• Expiration/revocation of access
• Per-user/customer download history
• IP/device/session information
• Dataset-level engagement analytics
• API access in addition to browser downloads
• Audit-log retention and SIEM integration

If enterprise customer permissions + detailed download analytics are your two highest priorities, I'd shortlist Box, FileCloud, and Fast.io, with Box as the safest general-purpose enterprise choice and Fast.io as the most interesting customer-facing delivery/analytics option.

For an enterprise selling large datasets, you usually want more than a normal ecommerce platform. The key capabilities are:

• Identity-aware access control (customer/user/org-level permissions)
• Download and API access logging
• Expiration, revocation, and entitlement management
• Audit trails for compliance
• Usage analytics (who accessed what, when, how much)
• Secure delivery of very large files
• Integration with SSO, IAM, and SIEM tools

The best fit depends on whether you are selling datasets as products or primarily providing secure data delivery.

Strong enterprise candidates

1. Databricks Marketplace

• Good if customers are technical enterprises consuming data directly.
• Supports provider workflows, consumer requests, access management, and monitoring of shared data recipients. docs.databricks.com
• Best for data products delivered through analytics platforms rather than raw ZIP/CSV downloads.

2. Snowflake Marketplace

• Good if your buyers already use Snowflake.
• Avoids large file transfers by letting customers query governed data.

3. Files.com

• Good for very large file delivery where customers need downloads.
• Provides activity logs covering user/file activity, transfers, API requests, shared links, permissions, and supports SIEM integrations. www.files.com

4. Collibra Data Marketplace

• Good for enterprise governance-heavy sales.
• Provides marketplace-style discovery plus permission-controlled access workflows. productresources.collibra.com

5. Custom portal on cloud storage
A common architecture for dataset vendors:

Customer Portal
    |
    +-- Billing / Contracts
    |
    +-- Identity (SSO, MFA)
    |
    +-- Entitlement Service
    |
    +-- Object Storage (S3/Azure Blob)
    |
    +-- Logging + Analytics (SIEM/Data Warehouse)

This gives you:

• per-customer download limits
• expiring links
• API keys
• watermarking
• complete access history
• usage-based billing

My shortlist for a commercial dataset company

• Selling datasets to enterprises via contracts: Databricks Marketplace or Snowflake Marketplace
• Selling large downloadable files: Files.com or a custom S3/Azure delivery portal
• Regulated industries (finance, healthcare, government): Collibra + secure delivery layer
• Need ecommerce checkout + subscriptions: Stripe/Paddle + custom entitlement and delivery system

A few questions would narrow this down:

1. Are customers downloading files (TB-scale CSV/Parquet/imagery) or querying data via API/warehouse?
2. Do you need self-service purchase and checkout, or are sales contracts handled manually?
3. Do customers require SOC 2 / ISO 27001 / HIPAA / FedRAMP-style controls?

For an enterprise selling large datasets, I’d separate the options into two categories: data marketplaces (best when customers consume/query the data) and secure file-delivery platforms (best when customers need to download large files).

My shortlist

1. Best overall for selling datasets: Snowflake Marketplace

If your datasets can be consumed as tables rather than simply downloaded, this is probably the strongest fit.

Snowflake gives providers detailed usage telemetry: consumer query history, listing views/clicks, jobs run against the product, table-access information, and the company/account of consumers. It also exposes listing access history at the query level. docs.snowflake.comdocs.snowflake.com

For governance, you get RBAC, secure data sharing, revocable access, and the ability to apply Snowflake's broader governance/access-history capabilities. www.snowflake.com

It also has native paid listings and usage/monetization analytics, so it behaves much more like a data-commerce platform than a file-transfer service. docs.snowflake.com

I'd choose this if: customers are buying access to data products and you want to know who is using what, how much they're querying, and what they're paying for.

Snowflake Marketplace documentation

2. Best AWS-native option: Amazon Web Services Data Exchange

AWS Data Exchange is particularly attractive if your customers are already AWS enterprises.

It supports paid data products, subscription entitlements, subscription verification, and multiple delivery models including S3 objects, Redshift datashares, APIs, S3 access points, and Lake Formation permissions. aws.amazon.com

For auditing, AWS integrates Data Exchange with CloudTrail, allowing providers and subscribers to audit API calls made by users, roles, and AWS services. aws.amazon.com

I'd choose this if: your datasets live in S3/Redshift/Lake Formation and your customers are heavily AWS-oriented.

AWS Data Exchange

3. Best for actual large-file delivery: Kiteworks

If by "large datasets" you mean 100 GB/TB-scale files that customers download, rather than queryable data, I'd look seriously at Kiteworks.

It provides granular permissions, secure links, immutable audit trails, governed SFTP/MFT, APIs, and dashboards/SIEM integration. It explicitly supports controlled exchange of large or regulated files. aws.amazon.com

The tradeoff is that it's primarily a secure enterprise data-delivery/governance platform, not a data marketplace with sophisticated product catalog, subscriptions, and data-product monetization.

Kiteworks

4. If you're Microsoft-heavy: Azure Data Share

Azure Data Share gives you managed sharing between organizations without exchanging credentials, with Azure RBAC controlling who can administer shares. learn.microsoft.com

It's compelling if your customers already use Azure, but I'd rank it behind Snowflake/AWS Data Exchange for a commercial data-product business, because the latter two are more directly designed around marketplace/subscription distribution.

What I'd pick for your business

If your product is "buy access to datasets": → Snowflake Marketplace.

If your product is "buy/download huge data packages": → Kiteworks, potentially with your own commerce layer.

If your customers are predominantly AWS enterprises: → AWS Data Exchange.

For a sophisticated enterprise offering, there's also a compelling hybrid architecture: use a commerce/entitlement layer to handle customer accounts, contracts and billing, while delivering the data through Snowflake/AWS/Kiteworks. That lets you retain your own customer relationship while getting provider-grade auditability underneath.

The key requirement I'd insist on is consumer-level access telemetry, not merely "someone downloaded the file." For enterprise customers, you ideally want to answer: which organization → which user/service account → which dataset/version → what action → when → how much data → under which entitlement/contract. Snowflake is particularly strong here because its listing-access and usage analytics get close to that model. docs.snowflake.comdocs.snowflake.com