Aggregion DataLabs & CleanRoom vs Decentriq Data Clean Rooms
Aggregion DataLabs & CleanRoom
aggregion.com
Decentriq Data Clean Rooms
decentriq.comSide by side
| Figure | Aggregion DataLabs & CleanRoom | Decentriq Data Clean Rooms |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 1 | 1 |
| Spec score · Data Clean Room Software | 7.4 (#7) | 7.7 (#5) |
| Governance | A decentralized protocol manages metadata, rights, permissions, script approvals, and other collaboration actions. | In Advanced Analytics clean rooms, data owners must approve computations before external parties can access results, and both versions provide a tamper-proof audit log. |
| Integrations | The technical architecture lists database adapters for RDBMS, Hive, and Kafka, plus an advanced API for integrations. | Its publisher page identifies Amazon S3, Azure, Google Cloud, Snowflake, and Salesforce among data onboarding connectors, and Meta Ads Manager as an audience export connector. |
| Intended users | The product page describes the solution as trusted by large banks, telecom companies, and retailers. | The company describes the platform for advertisers, publishers, data partners, retailers, agencies, and healthcare organizations. |
| Purpose | Provides an end-to-end environment for building and running models on joint data. | The platform lets multiple parties combine and analyze data under privacy controls without exposing raw data; participants receive approved, aggregated results. |
| Security | The maker describes Intel SGX hardware-level encryption for enclave memory during shared-data computations. | Decentriq says it supports SSO and SOC 2 certification and can process datasets of hundreds of gigabytes. |
Plans
Aggregion DataLabs & CleanRoom
- DataLabs & CleanRoomPriced on request
In their own words
Aggregion DataLabs & CleanRoom
Aggregion DataLabs & CleanRoom is an environment for building and running models on data shared by multiple partners. Its workflow spans cataloging, discovering partner datasets, developing models in protected DataLabs, performing CleanRoom calculations, and activating results. Partners connect through a virtual data warehouse, with structured and semi-structured data supported. DataLabs virtual machines depersonalize data and apply distortion models during development. Listed languages include Python, R, PySparc, Scala, and Java. The architecture includes adapters for RDBMS, Hive, and Kafka, plus an advanced integration API. Intel SGX hardware-level encryption is described for enclave memory during shared computations. A decentralized protocol governs metadata, permissions, rights, approvals, and related collaboration actions. Scripts may be reviewed, approved, scheduled, or invoked through API, with execution logs kept on an immutable ledger. Deployment can be cloud or on-premise, and customers choose hosting for the DataLab and enclave. Pricing is available on request.
Decentriq Data Clean Rooms
Decentriq Data Clean Rooms lets organizations collaborate on data analysis while keeping raw records private to their owners. Participants receive approved, aggregated results rather than one another’s underlying data. Business users can build insights and custom audiences without code; advanced collaborations support Python, SQL, and R. Its privacy controls use encryption and confidential computing. In the no-code version, only approved aggregated insights and audience identifiers can leave the clean room. Advanced Analytics requires data-owner approval before external parties can access results, and both versions provide tamper-proof audit logs. The service offers API and SDK access, with connectors to import from Amazon S3 and Snowflake and export to Amazon S3 and Meta Ads Manager. Decentriq identifies advertisers, publishers, data partners, retailers, agencies, and healthcare organizations as intended users. It runs in the cloud and is available through web and API. Pricing is on request; the company invites prospective customers to contact it or schedule a demo.