Amazon Athena vs Azure Cosmos DB

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Amazon Athena
Amazon Athena

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Azure Cosmos DB

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Amazon Athena vs Azure Cosmos DB: 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; Azure Cosmos DB: A fully-managed, globally distributed NoSQL database service. Azure DocumentDB is a fully managed NoSQL database service built for fast and predictable performance, high availability, elastic scaling, global distribution, and ease of development.

Amazon Athena and Azure Cosmos DB are primarily classified as "Big Data" and "NoSQL Database as a Service" tools respectively.

"Use SQL to analyze CSV files" is the primary reason why developers consider Amazon Athena over the competitors, whereas "Best-of-breed NoSQL features" was stated as the key factor in picking Azure Cosmos DB.

SendGrid, Chartbeat, and Auto Trader are some of the popular companies that use Amazon Athena, whereas Azure Cosmos DB is used by Microsoft, Rumble, and Property With Potential. Amazon Athena has a broader approval, being mentioned in 47 company stacks & 17 developers stacks; compared to Azure Cosmos DB, which is listed in 24 company stacks and 23 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 Azure Cosmos DB?

Azure DocumentDB is a fully managed NoSQL database service built for fast and predictable performance, high availability, elastic scaling, global distribution, and ease of development.
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    What are some alternatives to Amazon Athena and Azure Cosmos DB?
    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.
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    Avatar of Daniel Kovacs
    Daniel Kovacs uses Azure Cosmos DBAzure Cosmos DB

    If you need a document-based database with geo-redundancy (imagine AU-HU distance), this is the way to go.

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