AWS Clean Rooms vs Integral
AWS Clean Rooms
aws.amazon.comIntegral
useintegral.comSide by side
| Figure | AWS Clean Rooms | Integral |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| API | Yes | — |
| Self-hosted | — | Yes |
| Plans published | 1 | 1 |
| Spec score · Data Clean Room Software | 7.3 (#10) | 7.0 (#16) |
Plans
In their own words
AWS Clean Rooms
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.
Integral
Integral prepares real-world data for AI by assessing privacy risk, sanitizing datasets and documenting the work. Qualified statistical experts evaluate re-identification risk and provide a signed opinion scoped to the assessment. Integral Privacy Sanitization de-identifies enterprise data while recording assessment details, remediation, utility metrics and methodology provenance. Remediation Preview lets teams compare privacy impact and utility metrics across several strategies before applying changes, and the platform supports reassessment as datasets, recipients and context evolve. Integral describes processing healthcare and clinical records, behavioral and consumer data, and enterprise and operational data. Deployment options include managed cloud, VPC or private cloud, on-premises and air-gapped environments. Privacy Sanitization can run directly in a customer’s Databricks environment. The site links to Bleach, an API for sanitizing data before training pipelines, and says a HIPAA BAA is available. Integral is presented for AI builders, data providers, pharma, data brokers and analytics teams. Pricing is on request.