Database 101: Data Consistency for Beginners

This page summarizes the projects mentioned and recommended in the original post on dev.to

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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

    Relational: MySQL, MariaDB, PostgreSQL

  • MySQL

    MySQL Server, the world's most popular open source database, and MySQL Cluster, a real-time, open source transactional database.

    Relational: MySQL, MariaDB, PostgreSQL

  • InfluxDB

    Access the most powerful time series database as a service. Ingest, store, & analyze all types of time series data in a fully-managed, purpose-built database. Keep data forever with low-cost storage and superior data compression.

  • MongoDB

    The MongoDB Database

    Multi-model: FaunaDB, MongoDB, Redis among others.

  • Redis

    Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, Bitmaps.

    I didn't finish college and I didn't see anything about Databases when I was there, so I don't have any theoretical background and on these 4 years coding at enterprise level my focus was totally in things like: Clean Code, SOLID, Design Patterns and other stuff code related and my only Database knowledge was about SQL/MySQL and Cache/Redis.

  • Neo4j

    Graphs for Everyone

    Graph: Neo4J

  • faunadb-js

    Javascript driver for FaunaDB

    Multi-model: FaunaDB, MongoDB, Redis among others.

  • Apache Cassandra

    Mirror of Apache Cassandra

    Wide Column: Apache Cassandra, ScyllaDB and DynamoDB

  • Sonar

    Write Clean Java Code. Always.. Sonar helps you commit clean code every time. With over 600 unique rules to find Java bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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