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.
What is Amazon Athena?
What is SQLite?
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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).
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.
All the dynamic data (i.e.: jobs) is stored in a simple SQLite database.
Все динамические данные (вакансии) хранятся в простой SQLite БД.