Anjuna Northstar vs BigQuery Data Clean Rooms

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.

BigQuery Data Clean Rooms let multiple parties share, join, and analyze data without moving or revealing the underlying data. The cloud service works with BigQuery sharing, and shared resources must be BigQuery tables, views, or table-valued functions. Owners manage rooms, contributors publish data, and subscribers query it. Contributors can apply analysis rules, including aggregation thresholds, and owners or publishers can offer predefined query templates without exposing the underlying tables or views. Subscribers are automatically prevented from copying or exporting raw data, while contributors can configure controls for query results. These controls have limits: Google cautions that analysis rules may not stop sophisticated queries from extracting unauthorized data, and notes that rules can be set only on views. Each room can contain at most 100 shared resources. Availability is restricted to BigQuery sharing regions, without listings across multiple regions. Rooms can be managed in the Google Cloud console or created through the API; setup requires enabling the Analytics Hub API and assigning required IAM roles. Contributors pay for storage, while subscribers pay for compute when running queries.