Amazon Athena vs Apache Impala: What are the differences?
What is Amazon Athena? 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.
What is Apache Impala? Real-time Query for Hadoop. Impala is a modern, open source, MPP SQL query engine for Apache Hadoop. Impala is shipped by Cloudera, MapR, and Amazon. With Impala, you can query data, whether stored in HDFS or Apache HBase – including SELECT, JOIN, and aggregate functions – in real time.
Amazon Athena and Apache Impala belong to "Big Data Tools" category of the tech stack.
"Use SQL to analyze CSV files" is the primary reason why developers consider Amazon Athena over the competitors, whereas "Super fast" was stated as the key factor in picking Apache Impala.
Apache Impala is an open source tool with 2.19K GitHub stars and 825 GitHub forks. Here's a link to Apache Impala's open source repository on GitHub.
According to the StackShare community, Amazon Athena has a broader approval, being mentioned in 69 company stacks & 61 developers stacks; compared to Apache Impala, which is listed in 17 company stacks and 37 developer stacks.