Aggregion DataLabs & CleanRoom vs Anjuna Northstar
Aggregion DataLabs & CleanRoom
aggregion.comAnjuna Northstar
anjuna.ioSide by side
| Figure | Aggregion DataLabs & CleanRoom | Anjuna Northstar |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | — |
| API | Yes | — |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 1 |
| Spec score · Data Clean Room Software | 7.4 (#7) | 7.8 (#4) |
| Integrations | The technical architecture lists database adapters for RDBMS, Hive, and Kafka, plus an advanced API for integrations. | The product page names Jupyter notebooks and AI-coding assistants as tools for iterating on data analysis models. |
| Purpose | Provides an end-to-end environment for building and running models on joint data. | Northstar enables multiple parties to analyze sensitive or live datasets with AI while protecting data privacy and intellectual property. |
| Security | The maker describes Intel SGX hardware-level encryption for enclave memory during shared-data computations. | Confidential computing protects data and code during ingestion, processing, and analysis; the page also cites remote attestation, data-in-use isolation, and access control. |
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.
Anjuna Northstar
Anjuna Northstar is self-hosted software for multi-party collaboration on sensitive or live datasets. It enables AI operations teams and data scientists to combine data, run models, and analyze results while protecting privacy and intellectual property. Powered by Anjuna Seaglass, it can create confidential clean rooms on demand for data-sharing work. Northstar runs on confidential computing instances across cloud providers and on premises. Its safeguards cover data and code during ingestion, processing, and analysis, with remote attestation, isolation of data in use, and access control listed. Users prepare and manipulate datasets in off-the-shelf Jupyter Notebooks. They can bring their own AI models, tools, and analysis code without modifications. The product is deployed in customer environments and does not require telemetry or runtime dependence on Anjuna-hosted services. AWS, Microsoft Azure, Google Cloud, AMD, Intel, NVIDIA, Redis, and HashiCorp are listed as site partners. Pricing is on request, with a live demo and sales contact available.