Aggregion DataLabs & CleanRoom vs AppsFlyer Data Clean Room
Aggregion DataLabs & CleanRoom
aggregion.com
AppsFlyer Data Clean Room
appsflyer.comSide by side
| Figure | Aggregion DataLabs & CleanRoom | AppsFlyer Data Clean Room |
|---|---|---|
| Price from | — | $0.07/mo |
| Free plan | — | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| iOS | — | Yes |
| Android | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 1 | 4 |
| Spec score · Data Clean Room Software | 7.4 (#7) | 9.2 (#1) |
| Purpose | Provides an end-to-end environment for building and running models on joint data. | The clean room matches first-party user-level data with AppsFlyer attribution data and provides aggregated reports while preserving user privacy. |
| Security | The maker describes Intel SGX hardware-level encryption for enclave memory during shared-data computations. | AppsFlyer says its security program undergoes annual third-party audits and lists ISO 27001, ISO 27017, ISO 27018, ISO 27032, ISO 27701, and SOC 2 certifications. |
Plans
Aggregion DataLabs & CleanRoom
- DataLabs & CleanRoomPriced on request
AppsFlyer Data Clean Room
- ZeroFree
- Growth$0.07 a month
- Data Clean RoomPriced on request
- EnterprisePriced 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.
AppsFlyer Data Clean Room
AppsFlyer Data Clean Room has no write-up on Specifiction yet; its figures are above.