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Amazon Athena
Amazon Athena

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Amazon EMR
Amazon EMR

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Amazon Athena vs Amazon EMR: What are the differences?

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; Amazon EMR: Distribute your data and processing across a Amazon EC2 instances using Hadoop. Amazon EMR is used in a variety of applications, including log analysis, web indexing, data warehousing, machine learning, financial analysis, scientific simulation, and bioinformatics. Customers launch millions of Amazon EMR clusters every year.

Amazon Athena belongs to "Big Data Tools" category of the tech stack, while Amazon EMR can be primarily classified under "Big Data as a Service".

"Use SQL to analyze CSV files" is the top reason why over 9 developers like Amazon Athena, while over 13 developers mention "On demand processing power" as the leading cause for choosing Amazon EMR.

Netflix, Medium, and Yelp are some of the popular companies that use Amazon EMR, whereas Amazon Athena is used by Auto Trader, Zola, and Twilio SendGrid. Amazon EMR has a broader approval, being mentioned in 95 company stacks & 18 developers stacks; compared to Amazon Athena, which is listed in 50 company stacks and 18 developer stacks.

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What is Amazon Athena?

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 Amazon EMR?

It is used in a variety of applications, including log analysis, data warehousing, machine learning, financial analysis, scientific simulation, and bioinformatics.
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Why do developers choose Amazon Athena?
Why do developers choose Amazon EMR?

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      What are some alternatives to Amazon Athena and Amazon EMR?
      Presto
      Presto is an open source distributed SQL query engine for running interactive analytic queries against data sources of all sizes ranging from gigabytes to petabytes.
      Amazon Redshift Spectrum
      With Redshift Spectrum, you can extend the analytic power of Amazon Redshift beyond data stored on local disks in your data warehouse to query vast amounts of unstructured data in your Amazon S3 “data lake” -- without having to load or transform any data.
      Amazon Redshift
      It is optimized for data sets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions.
      Cassandra
      Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.
      Spectrum
      The community platform for the future.
      See all alternatives
      Decisions about Amazon Athena and Amazon EMR
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      How developers use Amazon Athena and Amazon EMR
      Avatar of Andrew La Grange
      Andrew La Grange uses Amazon EMRAmazon EMR

      We use Amazon EMR for all our Hadoop workloads.

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