Securely share data with partners.
Privacy-preserving data collaboration. Share insights without exposing raw data. Differential privacy and secure computation.
Diff. privacy
Privacy
Never shared
Data
Secure MPC
Compute
Full trail
Audit
Collaborate, privately.
Data clean rooms. Privacy-preserving analytics.
Privacy-preserving
Only aggregated results leave the room.
Raw data stays
Partners never see each other's raw data.
Secure computation
Multi-party computation for joint analysis.
Audit trail
Complete audit of all queries and results.
SQL interface
Standard SQL for cross-party analytics.
Access policies
Fine-grained policies on allowed operations.
Getting started
Launch your first instance in three steps. CLI, console, or API — your choice.
ur data cleanroom create ad-match \
--partners=advertiser,publisher \
--privacy=epsilon-1.0Clean room patterns.
Ad tech and clinical research.
Suggested configuration
MPC · Diff. privacy · SQL
Estimate your costs
Create detailed configurations to see exactly how much your architecture will cost. Pay for what you use, down to the second.
Configuration 1
Clean Room
Compute Resources
Storage & Output
Cost details
Privacy-preserving data collaboration environment.
Works seamlessly with
Frequently asked questions
Collaborate, privately.
Data clean rooms. Privacy-preserving analytics.