Amazon Athena vs Apache Flink: What are the differences?
Developers describe Amazon Athena as "Query S3 Using SQL". Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run. On the other hand, Apache Flink is detailed as "Fast and reliable large-scale data processing engine". Apache Flink is an open source system for fast and versatile data analytics in clusters. Flink supports batch and streaming analytics, in one system. Analytical programs can be written in concise and elegant APIs in Java and Scala.
Amazon Athena and Apache Flink can be primarily classified as "Big Data" tools.
"Use SQL to analyze CSV files" is the primary reason why developers consider Amazon Athena over the competitors, whereas "Unified batch and stream processing" was stated as the key factor in picking Apache Flink.
Apache Flink is an open source tool with 9.11K GitHub stars and 4.86K GitHub forks. Here's a link to Apache Flink's open source repository on GitHub.
Chartbeat, SendGrid, and Auto Trader are some of the popular companies that use Amazon Athena, whereas Apache Flink is used by Zalando, sovrn Holdings, and BetterCloud. Amazon Athena has a broader approval, being mentioned in 47 company stacks & 17 developers stacks; compared to Apache Flink, which is listed in 20 company stacks and 21 developer stacks.