Snowflake Data Clean Rooms alternatives

3 tools to consider instead of Snowflake Data Clean Rooms, shown against it.

Snowflake Data Clean Rooms AWS Clean Rooms LiveRamp Clean Room Decentriq
Vendor Snowflake Inc. Amazon Web Services LiveRamp Holdings, Inc. Decentriq AG
Pricing model Usage-based Usage-based Quote only Quote only
Free tier No No No No
Deployment Cloud Cloud Cloud Cloud
Open source No No No No
Best for Two Snowflake customers who want to collaborate without adopting a separate third-party clean room product. AWS-centric organizations running two-party or multi-party analysis without moving data off AWS. Brands and publishers running multi-cloud, multi-party data collaboration tied to a shared identity layer. Regulated industries (healthcare, finance) that need collaboration where no party, including the vendor, can see raw data.
Pricing

No separate clean-room price list; billed through standard Snowflake compute credits based on warehouse usage.

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

Billed per Clean Rooms Processing Unit (CRPU) hour for SQL/Spark, with add-on rates for differential privacy, ML and entity resolution.

SQL query $2.00 per CRPU-hour
SQL query with differential privacy $4.00 per CRPU-hour
PySpark job $4.00 per CRPU-hour
AWS Entity Resolution (rule-based matching) $0.50 per 1,000 records + $100 base fee/collaboration

Prices read from the vendor's own page on September 21, 2026. Vendors change prices; check the source before you budget.

Enterprise pricing quoted per engagement; no public price list found.

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

Enterprise pricing quoted per engagement; no public price list found.

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

Features
  • Native to Snowflake accounts, no raw data leaves either party's account
  • Pre-approved query templates for governed analysis
  • Row- and column-level security policies
  • Works across Snowflake accounts in different regions/clouds
  • Aggregation and thresholding on returned results
  • Reuses existing Snowflake role-based access control
  • SQL and PySpark analysis without copying raw data out
  • Configurable analysis rules per collaboration
  • Differential privacy add-on with quantified noise parameters
  • AWS Clean Rooms ML: lookalike and custom modeling
  • AWS Entity Resolution integration for identity matching
  • Synthetic dataset generation
  • Fine-grained IAM-based access control
  • Cross-cloud collaboration (Snowflake, Databricks, BigQuery)
  • Configurable aggregation thresholds on query results
  • Integration with RampID identity resolution
  • Incrementality and overlap analysis templates
  • Query review and governance controls
  • Multi-party (not just two-party) collaboration support
  • Confidential computing (hardware-encrypted enclaves) for computation
  • No raw-data visibility for either collaborator or Decentriq
  • Cross-cloud, cross-industry data collaboration
  • Media measurement and overlap analysis
  • Healthcare and life-sciences data collaboration use cases
  • SQL and custom analysis logic inside the enclave

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