Amazon Athena is a powerful query service that lets teams analyze data directly in Amazon S3 using standard SQL, with no infrastructure to manage.

Introducing the Coalesce Catalog x Amazon Athena Integration
We’re excited to announce a native integration between Coalesce Catalog and Amazon Athena, bringing effortless data discovery, documentation, and lineage to your serverless query environment.
Amazon Athena is a powerful query service that lets teams analyze data directly in Amazon S3 using standard SQL, with no infrastructure to manage. It’s fast, flexible, and widely adopted for data lake analytics. But as usage grows, so does complexity. Teams often struggle to understand what data exists, how it’s being used, and whether it can be trusted.
Coalesce Catalog solves this by making Athena assets fully searchable, documented, and connected to the broader data stack. With this integration, organizations can now bring structure and clarity to the flexible, fast-moving world of serverless analytics.
How does it work?
The integration connects to your Amazon Athena environment and automatically ingests:
- Databases, tables, columns, and schemas
- Query history and usage patterns
- Data lineage — linking Athena queries to source data in S3 and downstream usage in dashboards or models
Once in Coalesce Catalog, your Athena data becomes easily explorable — by engineers, analysts, and business users alike.
Use Cases
Use-case #1
As a Data Analyst, I want to find the most commonly queried Athena tables and see how they’re used, so I can write more accurate and efficient queries.
Use-case #2
As a Data Steward, I want to understand which Athena queries access sensitive data, and where that data flows downstream.
What’s in it for me?
With the Coalesce Catalog x Athena integration, teams can:
- Discover and document Athena tables and queries automatically
- Understand data usage and value through query patterns and popularity
- Trace lineage from Athena queries back to raw S3 data and forward to BI tools
- Accelerate onboarding by providing context for non-technical users
Get in Touch to Learn More



“[I like] The easy to use interface and the speed of finding the relevant assets that you're looking for in your database. I also really enjoy the score given to each table, [which] lets you prioritize the results of your queries by how often certain data is used.” - Michal P., Head of Data