Aggregion DataLabs & CleanRoom
Aggregion DataLabs & CleanRoom provides an environment for developing and running models on data shared by multiple partners.
What Aggregion DataLabs & CleanRoom is
Aggregion DataLabs & CleanRoom provides an environment for developing and running models on data shared by multiple partners. Its workflow runs from data cataloging and partner-dataset discovery through model development in protected DataLabs, CleanRoom calculations, and activation of results. Partners connect through a virtual data warehouse, with support for structured and semi-structured data. DataLabs virtual machines depersonalize data and apply distortion models, and listed programming languages include Python, R, PySparc, Scala, and Java. The architecture includes adapters for RDBMS, Hive, and Kafka, plus an API for integrations. For shared-data computations, the maker describes Intel SGX encryption for enclave memory. A decentralized protocol handles metadata, permissions, rights, and script approvals. Scripts can be reviewed, scheduled or API-invoked, and monitored through logs on an immutable ledger. Cloud and on-premise deployment are offered, with customers choosing where to host the DataLab and enclave. Pricing is available on request.
Good
- Supports structured and semi-structured data
- Includes Python, R, Scala, and Java
- Cloud or on-premise deployment
- Script logs stored on an immutable ledger
Watch out
- Paid; pricing is available on request
- Requires coordination across partner datasets
Who it suits
It suits organizations that need to develop models using data from multiple partners, with governance and auditable script execution. The maker describes it for large banks, telecom companies, and retailers.
Verdict
Aggregion combines partner-data workflows, model development, and governed CleanRoom calculations in one environment. Organizations considering it will need to request pricing and decide where to host its components.
Plans and prices
From Aggregion DataLabs & CleanRoom's own pricing page, checked 4 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| DataLabs & CleanRoom | Priced on request | Pricing not listed; request a demo |
The facts
Each one read from Aggregion DataLabs & CleanRoom's own pages, with the date it was checked.
What it does
- Auditability
- Scripts can be reviewed and approved, scheduled or invoked by API, and execution can be monitored through logs stored on an immutable ledger.checked 4 Oct 2026
- Data sources
- Partners connect data through a virtual data warehouse, and the platform supports structured and semi-structured data.checked 4 Oct 2026
- Deployment
- The maker offers cloud or on-premise deployment and says customers can choose where to host the DataLab and enclave.checked 4 Oct 2026
- Enterprise operations
- Enterprise readiness includes Kubernetes application management, a central administration console, and authentication protocols listed as OAuth and AD.checked 4 Oct 2026
- Governance
- A decentralized protocol manages metadata, rights, permissions, script approvals, and other collaboration actions.checked 4 Oct 2026
- Integrations
- The technical architecture lists database adapters for RDBMS, Hive, and Kafka, plus an advanced API for integrations.checked 4 Oct 2026
- Intended users
- The product page describes the solution as trusted by large banks, telecom companies, and retailers.checked 4 Oct 2026
- Languages
- The product lists Python, R, PySparc, Scala, and Java among supported programming languages.checked 4 Oct 2026
- Modeling
- DataLabs VMs automatically depersonalize data and apply distortion models for model development.checked 4 Oct 2026
- Purpose
- Provides an end-to-end environment for building and running models on joint data.checked 4 Oct 2026
- Security
- The maker describes Intel SGX hardware-level encryption for enclave memory during shared-data computations.checked 4 Oct 2026
- Workflow
- The workflow covers data cataloging, partner dataset discovery, model development in protected DataLabs, CleanRoom calculations, and result activation.checked 4 Oct 2026
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