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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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PostgreSQL
Mirror of the official PostgreSQL GIT repository. Note that this is just a *mirror* - we don't work with pull requests on github. To contribute, please see https://wiki.postgresql.org/wiki/Submitting_a_Patch
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MySQL
MySQL Server, the world's most popular open source database, and MySQL Cluster, a real-time, open source transactional database.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
But then you realize there are other databases out there focused specifically on analytical use cases with lots of data and complex queries. Newcomers like ClickHouse, Pinot, and Druid (all open source) respond to a new class of problem: The need to develop applications using endpoints published on analytical queries that were previously confined only to the data warehouse and BI tools.
But then you realize there are other databases out there focused specifically on analytical use cases with lots of data and complex queries. Newcomers like ClickHouse, Pinot, and Druid (all open source) respond to a new class of problem: The need to develop applications using endpoints published on analytical queries that were previously confined only to the data warehouse and BI tools.
When you develop an application, your first choice for a database is often one of Postgres, MySQL, or - if NoSQL is more your thing - MongoDB. You can’t go wrong with any of these; they’re great general-purpose databases with huge communities and some excellent features (e.g. transactions) that make developers’ lives easier.
When you develop an application, your first choice for a database is often one of Postgres, MySQL, or - if NoSQL is more your thing - MongoDB. You can’t go wrong with any of these; they’re great general-purpose databases with huge communities and some excellent features (e.g. transactions) that make developers’ lives easier.
When you develop an application, your first choice for a database is often one of Postgres, MySQL, or - if NoSQL is more your thing - MongoDB. You can’t go wrong with any of these; they’re great general-purpose databases with huge communities and some excellent features (e.g. transactions) that make developers’ lives easier.