Amazon Athena vs Apache Hive: 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 Hive? Data Warehouse Software for Reading, Writing, and Managing Large Datasets. Hive facilitates reading, writing, and managing large datasets residing in distributed storage using SQL. Structure can be projected onto data already in storage.
Amazon Athena and Apache Hive can be primarily classified as "Big Data" tools.
Apache Hive is an open source tool with 2.62K GitHub stars and 2.58K GitHub forks. Here's a link to Apache Hive's open source repository on GitHub.
Auto Trader, Zola, and Twilio SendGrid are some of the popular companies that use Amazon Athena, whereas Apache Hive is used by Repro, Algorithmia, and Eyereturn Marketing. Amazon Athena has a broader approval, being mentioned in 50 company stacks & 18 developers stacks; compared to Apache Hive, which is listed in 27 company stacks and 12 developer stacks.
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What is Amazon Athena?
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