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Amazon Athena
Amazon Athena

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Amazon Athena vs SQLite: 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 SQLite? A software library that implements a self-contained, serverless, zero-configuration, transactional SQL database engine. SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Amazon Athena belongs to "Big Data Tools" category of the tech stack, while SQLite can be primarily classified under "Databases".

"Use SQL to analyze CSV files" is the primary reason why developers consider Amazon Athena over the competitors, whereas "Lightweight" was stated as the key factor in picking SQLite.

According to the StackShare community, SQLite has a broader approval, being mentioned in 314 company stacks & 477 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 SQLite?

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.
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    What are some alternatives to Amazon Athena and SQLite?
    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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    Decisions about Amazon Athena and SQLite
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    How developers use Amazon Athena and SQLite
    Avatar of Romans Malinovskis
    Romans Malinovskis uses SQLiteSQLite

    We build queries in PHP with DSQL that work with SQLite. We also have SQLite data controller, so that you can build SQLite-based models.

    Avatar of Coolfront Technologies
    Coolfront Technologies uses SQLiteSQLite

    Used during the "build process" of Coolfront Mobile's Flat rate search engine database. Flat rate data that resides in Salesforce is transformed using SQLite into a format that is usable for our mobile Flat rate search engine (AKA: Charlie).

    Avatar of Sripathi Krishnan
    Sripathi Krishnan uses SQLiteSQLite

    RDBTools is a self-hosted application, and it is important that the installation process is simple. With SQLite, we create a new database file for every analysis. Once the analysis is done, the SQLite file can be thrown away easily.

    Avatar of Perljobs.Ru
    Perljobs.Ru uses SQLiteSQLite

    All the dynamic data (i.e.: jobs) is stored in a simple SQLite database.

    Все динамические данные (вакансии) хранятся в простой SQLite БД.

    Avatar of A. M. Douglas
    A. M. Douglas uses SQLiteSQLite

    There's really no call for something heavier for this site. SQLite is simple, easy to use and quite reliable given its age.

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