Amazon Athena can analyze data instantly in your data lake or warehouse. Immuta supports Amazon Athena to ensure that data access is consistently controlled and governed across any data platform, without impacting performance or the end user experience.
Manage 93x fewer data policies while also improving transparency.
Secure structured and unstructured data used by Amazon Athena.
Securely query your data
– with less risk.
Immuta supports AWS Lake Formation, so you can simplify and accelerate access to data in Amazon Athena and S3.
Immuta connects to your AWS environment and automatically discovers the data sources available for querying with Athena, including S3 buckets and AWS Glue Data Catalog.
Move faster with no code changes. Immuta works transparently, so you don't need to modify your Athena queries or applications.
Manage all your data access policies in Immuta, even if you're accessing data through different AWS tools like SageMaker, Redshift, or EMR Spark.
Quickly analyze data in your data lake using standard SQL with Athena. This enables ad hoc queries, data exploration, and quick answers to business questions – all without complex data preparation. Immuta ensures that users only access data they're authorized to see, even during ad hoc analysis, preventing accidental data exposure and ensuring compliance.
Query and analyze log files generated by applications, servers, and websites, so you can identify performance bottlenecks, resolve issues, and improve operational efficiency. Immuta dynamically masks sensitive information within logs, like personally identifiable information (PII), protecting customer privacy while still allowing for effective troubleshooting.
Query data directly in your Amazon S3 data lake via Athena – without needing to move or transform it. Immuta enforces access policies for structured and unstructured data utilized by Athena, so data scientists can securely access the data they need in an efficient, performant, and cost-effective way.