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Amazon Athena
Amazon Athena

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Pilosa
Pilosa

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Amazon Athena vs Pilosa: 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 Pilosa? Open source, distributed bitmap index in Go. Pilosa is an open source, distributed bitmap index that dramatically accelerates queries across multiple, massive data sets.

Amazon Athena and Pilosa can be primarily classified as "Big Data" tools.

Pilosa is an open source tool with 1.83K GitHub stars and 149 GitHub forks. Here's a link to Pilosa's open source repository on GitHub.

- 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 Pilosa?

Pilosa is an open source, distributed bitmap index that dramatically accelerates queries across multiple, massive data sets.
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          What are some alternatives to Amazon Athena and Pilosa?
          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
          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.
          See all alternatives
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