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  1. May 1, 2024 · What are open source databases? Open source databases are developed and released under an open source license. While open source is sometimes used as a marketing term, it has a very specific definition when it comes to software licenses. To be a bona fide open source technology, a database needs to use a license approved by the Open Source ...

    • Sean Michael Kerner
    • MySQL
    • MariaDB
    • Postgresql
    • CockroachDB
    • Neo4j
    • MongoDB
    • CouchDB
    • RethinkDB
    • Redis
    • Sqlite

    MySQL is the best-known and most widely used open-source database. As a relational database management system (RDBMS), MySQL structures data by organizing it into interconnected tables that users can access using SQL (Structured Query Language). The platform supports multiple storage engines, such as InnoDB and MyISAM. Use Cases While direct intera...

    MariaDB is a fork of MySQL created to provide a community-driven drop-in replacement for MySQL. Consequently, MariaDB shares many MySQL features but extends them with support for advanced data types, user-defined functions, and more. Use Cases With its built-in clustering and replication features, MariaDB is often the RDBMS of choice for developers...

    PostgreSQL (or Postgres) is an object-RDBMS that uses extended SQL to process complex data workloads. It focuses on providing extensibility, data integrity, and fault tolerance in an ACID-compliantenvironment. Use Cases PostgreSQL’s popular use case is acting as a backend database for web applications and content management systems (CMS). Its robus...

    CockroachDB is a distributed SQL databasesystem with a focus on scalability and resiliency. The foundation of this database is a strongly consistent, transactional key-value store. CockroachDB achieves strong consistency in a distributed environment with a distributed consensus algorithm called Raft. Use Cases CockroachDB fits projects that require...

    Neo4j is a NoSQL graph database for managing, querying, and storing real-time graph data. It provides an efficient way to analyze, browse, and store the graph data components (nodes and relationships). Querying graph data in Neo4j is performed using Cypher, a specialized query language for data pattern detection and complex graph manipulation. Use ...

    MongoDB is a popular document-oriented NoSQL database that features a simple but capable document model and a highly scalable architecture. The format of MongoDB’s documents is BSON, a binary representation of JSON documents. The architecture of this DBMS features a single master node that directs multiple workers. If the master node fails, one of ...

    CouchDB is a scalable and fault-tolerant document-oriented NoSQL database. The data in CouchDB resides in JSON-based documents that do not have to follow a schema. The users can organize the documents in collections and views. Use Cases CouchDB’s data model works best in scenarios that require unstructured and semi-structured data manipulation. The...

    RethinkDB is a distributed DBMS specializing in real-time application support. As a NoSQL database, RethinkDB stores unstructured data in JSON format, allowing developers to create databases customized to fit their data model. Use Cases The real-time push architecture allows RethinkDB users to perform queries and receive real-time updates, which is...

    Redis is a fast and scalable in-memory key-value data store. The key-value data model enables the platform to support large datasets and maintain high availability and performance. Redis can manipulate various data types (such as strings, lists, hashes, sets, etc.) and can be configured to prevent data lossby persisting data to disk. Use Cases Due ...

    SQLite is a serverless, self-contained transactional SQL database engine primarily designed to provide database capabilities as an embedded element inside an application. It utilizes a file-based format that packs data and metadata into a single file. The file content is organized into tables, indexes, triggers, views, and other relational objects....

    • 13 min
    • MySQL. If you take a minute to look up databases for apps, MySQL will top many lists. It’s the same here because it was a default option for many developers for a long time.
    • MariaDB. Although Oracle owns MySQL at current writing and still offers it as an open source solution, its reputation isn’t as an open-source advocate.
    • PostgreSQL. If all you know is PHP and WordPress, you probably don’t know much about PostgreSQL. However, it’s a relational, open source database that many developers use in data science, graphing, and AI industries because it’s ideal for Python and Ruby applications (although you could use PHP too).
    • Redis. Redis is different from the rest of the open source databases on this list, as you don’t use it for almost any of the same applications. It’s a database that enables you to structure data as key-value pairs.
  2. Apr 3, 2024 · 10. Hypertable. Hypertable is NoSQL open-source database that was designed to combat the scalability problem that appears in all relational databases. It was based on the Google Big Table design and written in C++. Hypertable runs in both Linux and Mac OS X.

  3. Mar 30, 2023 · Here are examples of how different organizations are using open source databases to meet industry-specific needs: E-commerce. Open source databases are widely used for managing customer data, purchases, and other transactions, as well as inventory. With open source databases, e-commerce companies can process large amounts of data in real time.

  4. Feb 7, 2024 · Open source databases are usually backed by a large and vibrant community of developers, who contribute to documentation, bug fixes, and improvements. Owing to such database flexibility, the community is free to create new databases according to various needs. Thus, for example, the Greenplum database emerged from PostgreSQL. Security. The ...

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  6. Jun 6, 2024 · Open Source Database Support, Delivered by Experts. Let OpenLogic Enterprise Architects tackle your toughest data challenges. We provide 24/7 technical support for all the top open source databases and data technologies, including PostgreSQL, MySQL, MariaDB, Cassandra, InfluxDB, Redis, SQLite, HSQLDB, Spark, Hadoop, and CouchDB.

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