Anjuna Northstar vs InfoSum Data Clean Room
Anjuna Northstar
anjuna.io
InfoSum Data Clean Room
infosum.comSide by side
| Figure | Anjuna Northstar | InfoSum Data Clean Room |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | — | — |
| Open source | — | — |
| Web | — | Yes |
| API | — | Yes |
| Self-hosted | Yes | — |
| Plans published | 1 | 0 |
| Spec score · Data Clean Room Software | 7.8 (#4) | 7.4 (#8) |
| Founded | Anjuna says it was founded in 2018 to help enterprises securely innovate and scale using confidential computing. | 2015 |
| Integrations | The product page names Jupyter notebooks and AI-coding assistants as tools for iterating on data analysis models. | Listed activation destinations include Amazon S3, Google Cloud Storage, Snowflake Beacon Table, Google PAIR, and Customer Match. |
| Purpose | Northstar enables multiple parties to analyze sensitive or live datasets with AI while protecting data privacy and intellectual property. | The Data Clean Room matches and analyzes unlimited datasets without sharing or moving data. |
| Security | Confidential computing protects data and code during ingestion, processing, and analysis; the page also cites remote attestation, data-in-use isolation, and access control. | InfoSum says its security features are backed by independent audits and regular penetration tests. |
Plans
In their own words
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.
InfoSum Data Clean Room
InfoSum Data Clean Room matches and analyzes datasets across organizations without transferring the underlying data. Advertisers, publishers, data owners, commerce media businesses, data providers, and media owners can use first-party data for audience insights, identity translation, targeting, planning, activation, and campaign measurement. InfoSum describes its processing as decentralized and cloud agnostic, using non-movement technology and differential privacy. Personal identifiers are salted and hashed, data is encrypted at rest in decentralized Bunkers, and query results are aggregated with differential privacy techniques. Marketers have drag-and-drop tools and simple queries, while dataset owners can set, change, or revoke permissions. Data can be held in an InfoSum Bunker or a Beacon in a customer cloud or warehouse. Listed destinations include S3, sFTP, Google Cloud Storage, Snowflake Beacon Table, Google PAIR, Ads Data Manager, Customer Match, and DataX. The API supports data onboarding for accounts with an API key and appropriate settings and permissions. Pricing is available on request, and users must arrange platform access through InfoSum rather than self-registering.