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Databricks Marketplace vs Snowflake Marketplace

Databricks Marketplace shares data via the open Delta Sharing protocol, usable beyond Databricks; Snowflake Marketplace requires a Snowflake account.

Side by side

Databricks Marketplace Snowflake Marketplace
Vendor Databricks, Inc. Snowflake Inc.
Pricing model Quote only Quote only
Free tier Yes Yes
Deployment Cloud Cloud
Open source No No
Best for Databricks customers who want external data or models attached to the lakehouse without building ingestion pipelines. Snowflake customers who want to attach third-party data directly into their warehouse without ETL.
Pricing

Distribution channel inside Databricks; each listing's price (free or paid) and terms are set by its individual provider, delivered via Delta Sharing.

Pricing has not been verified yet — see the vendor's site.

Distribution channel inside Snowflake; each dataset's price (free, usage-based, or subscription) is set by its individual provider, not by Snowflake.

Checked on the vendor's own page on September 21, 2026: no prices are published. Expect to be quoted.

Features
  • Delivery via open Delta Sharing protocol (no ETL required)
  • Free and paid dataset, notebook, model and app listings
  • Cross-platform recipients via open Delta Sharing standard
  • Provider listing pages with sample data and documentation
  • AI model listings alongside tabular datasets
  • Unified access management through Unity Catalog
  • Ratings and reviews on listings
  • Live data sharing without copying or moving data
  • Free and paid dataset, app and AI-agent listings
  • Access granted directly into a Snowflake account
  • Marketplace Capacity Drawdown for using existing Snowflake spend
  • Provider ratings and listing metadata for evaluation
  • Native app framework for interactive data products
  • Cross-cloud/cross-region availability where the provider supports it

Verdict

Both are marketplaces built into a lakehouse or warehouse platform, with pricing and terms set by the individual provider on every listing, not by Databricks or Snowflake themselves. The meaningful technical difference is the sharing mechanism. Databricks Marketplace is built on the open Delta Sharing protocol, which means — for many listings — the recipient doesn't need to be a Databricks customer at all to receive shared data. Snowflake Marketplace uses Snowflake's own data-sharing technology, which only works for organizations already running a Snowflake account.

Choose Databricks Marketplace if

  • You're on the Databricks Lakehouse and want external data, notebooks or AI models attached to your workspace without a separate ingestion pipeline.
  • You want the option to share or receive data with organizations that aren't Databricks customers, via the open Delta Sharing standard.
  • You're evaluating AI model listings alongside tabular datasets, not just data.

Choose Snowflake Marketplace if

  • Snowflake is your platform, and every recipient of the data you're sharing or subscribing to also runs Snowflake.
  • You want to draw on existing Snowflake spend commitments to pay for marketplace purchases.
  • You're primarily looking for tabular third-party datasets rather than notebooks, models or applications.

What they share

Both platforms manage access and unified billing for paid listings, but leave data quality and accuracy evaluation to the buyer — provider ratings and listing metadata are the extent of built-in vetting on either marketplace. Free listings exist on both, so check for a no-cost option before assuming a paid subscription is required.

The honest caveat

Delta Sharing's openness is a real differentiator only for listings that actually use it broadly outside Databricks; for most day-to-day purchases by teams already committed to one platform, the practical experience of browsing, subscribing and querying is similar on both, and the deciding factor is simply which platform holds your data today.

Last reviewed September 22, 2026

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