Anjuna Northstar vs AWS 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.

AWS Clean Rooms lets companies analyze collective datasets without exchanging or copying the underlying data. Multiple companies can contribute to one collaboration while retaining data in their own accounts. Customers can permission AWS data and work with partner datasets in Snowflake and AWS through zero-ETL. Analysis supports SQL, Spark SQL, PySpark and machine learning. AWS lists advertising insights, investment decisions, research and development, customer insights and reporting as use cases. Privacy controls include fine-grained analysis rules, differential privacy, cryptographic computing, output restrictions and query logging. Clean Rooms ML supports custom and lookalike modeling; custom modeling allows collaborators to bring a model for training and inference without sharing underlying data or intellectual property. Access is available through the console, API, SDKs and command line. AWS lists availability in 11 Regions. Pricing is pay-as-you-go by capability and Region, with stated minimum charges for Spark SQL and PySpark. No free plan is available.