Amazon Athena
Amazon Athena

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Presto
Presto

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Amazon Athena vs Presto: 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, Presto is detailed as "Distributed SQL Query Engine for Big Data". 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 Athena and Presto belong to "Big Data Tools" category of the tech stack.

"Use SQL to analyze CSV files" is the top reason why over 9 developers like Amazon Athena, while over 9 developers mention "Works directly on files in s3 (no ETL)" as the leading cause for choosing Presto.

Presto is an open source tool with 9.22K GitHub stars and 3.12K GitHub forks. Here's a link to Presto's open source repository on GitHub.

SendGrid, Chartbeat, and Auto Trader are some of the popular companies that use Amazon Athena, whereas Presto is used by Repro, Airbnb, and Netflix. Amazon Athena has a broader approval, being mentioned in 47 company stacks & 17 developers stacks; compared to Presto, which is listed in 19 company stacks and 11 developer stacks.

- No public GitHub repository available -

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 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.

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      What are some alternatives to Amazon Athena and Presto?
      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
      Redshift makes it simple and cost-effective to efficiently analyze all your data using your existing business intelligence tools. It is optimized for datasets 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.
      Amazon Quicksight
      Amazon QuickSight is a fast, cloud-powered business analytics service that makes it easy to build visualizations, perform ad-hoc analysis, and quickly get business insights from your data.
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