Compare the Top Data Clean Room Software that integrates with AWS Lambda as of November 2025

This a list of Data Clean Room software that integrates with AWS Lambda. Use the filters on the left to add additional filters for products that have integrations with AWS Lambda. View the products that work with AWS Lambda in the table below.

What is Data Clean Room Software for AWS Lambda?

Data clean room software provides a secure environment for companies to collaborate and analyze sensitive data without exposing personally identifiable information (PII) or confidential business data. It allows organizations to share data sets and generate insights while ensuring compliance with privacy regulations, such as GDPR or CCPA. The software uses advanced encryption, anonymization, and access controls to protect data, enabling trusted partnerships between businesses. Its analytical tools allow users to run queries, generate reports, and perform marketing or research analysis without risking data breaches. By maintaining strict data privacy, data clean room software fosters secure and compliant data collaboration across industries. Compare and read user reviews of the best Data Clean Room software for AWS Lambda currently available using the table below. This list is updated regularly.

  • 1
    Vendia

    Vendia

    Vendia

    Vendia is a SaaS service that makes it easy for companies and organizations to share code and data across clouds, regions, accounts, and technology stacks. Vendia helps enterprises share code and data across companies, clouds, accounts, regions, and technology stacks. Vendia's unique architecture offers a distributed data model that goes everywhere you need it to, and its serverless design enables it to scale seamlessly. Vendia helps businesses create a complete portrait of their data, for example to track and trace items in a supply chain. Often that information spans business parties, such as suppliers, logistics, affiliates, and others. These might be different legal entities, different departments within the same enterprise, or even the same department but divided by their adoption of different public cloud services, such as one using AWS and another using Azure.
  • Previous
  • You're on page 1
  • Next