LiveRamp Clean Room alternatives

4 tools to consider instead of LiveRamp Clean Room, shown against it.

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

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.

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.

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.

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

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

Features
  • 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
  • Decentralized matching without raw data movement
  • Data Clean Room for multi-party audience overlap and measurement
  • Private Path for direct bilateral collaboration
  • Identity resolution layered on top of the matching engine
  • Cross-cloud connectivity between partners' own environments
  • Audience segmentation and activation without data pooling
  • 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
  • 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
  • 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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