![]() ![]() Amazon Athena can query across multiple paths, including all files within those paths, making it suitable for more complex queries and aggregations. ![]() S3 Select operates on a single object in S3, retrieving a specific subset of data using simple SQL expressions. ![]() Here is a detailed comparison between the two services: Athena supports more file formats, compression types, and optimizations, while S3 Select is limited to CSV, JSON, and Parquet formats.Īn alternative to Amazon Athena is Ahana Cloud, a managed service for Presto that offers up to 10x better price performance. Amazon Athena, on the other hand, is suitable for running complex, ad-hoc queries across multiple paths in Amazon S3, offering more comprehensive SQL capabilities, improved performance, and optimization options. S3 Select is more appropriate for simple filtering and retrieval of specific subsets of data from S3 objects using basic SQL statements, with reduced data transfer costs and latency. Athena is a fully-featured query engine that supports complex SQL and works across multiple objects while S3 Select is much more limited, and used to retrieve a subset of data from a single object in S3 using simple SQL expressions. What are the differences, and when should you use one vs the other? S3 Select vs Athena: What’s the Difference? The short answer:īoth services allow you to query S3 using SQL. Amazon Athena and S3 Select are two services that allow you to retrieve records on S3 using regular SQL. Data analysts and data engineers need simpler ways to access business data stored on Amazon S3. ![]()
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