Databases
table Relational Databases (SQL)
Advanced open-source relational database with robust ACID compliance, extensive SQL features, JSON support, full-text search, and strong extensibility through custom functions and extensions.
World's most popular open-source relational database known for reliability, ease of use, and strong ecosystem with excellent performance for read-heavy workloads.
Community-developed fork of MySQL with enhanced performance, storage engines, and features while maintaining drop-in replacement compatibility with MySQL.
Serverless, self-contained SQL database engine embedded directly into applications, ideal for mobile apps, embedded systems, and local storage with zero configuration.
Distributed SQL database designed for cloud-native applications with automatic sharding, replication, and strong consistency guarantees across multiple regions.
description Document Databases
Leading document-oriented NoSQL database with flexible schema design, powerful query language, horizontal scalability through sharding, and native support for geospatial data.
Document database with HTTP API, multi-master replication, and offline-first sync capabilities, designed for reliability and ease of use with eventual consistency.
Cloud-hosted NoSQL document database from Google with real-time synchronization, offline support, and seamless integration with Firebase ecosystem for mobile and web apps.
Fully managed MongoDB-compatible document database service from AWS with automatic scaling, backups, and high availability without managing infrastructure.
key Key-Value & Wide-Column Stores
In-memory data structure store used as database, cache, and message broker with support for strings, hashes, lists, sets, sorted sets, and advanced features like pub/sub and streams.
Fully managed serverless NoSQL key-value and document database from AWS providing single-digit millisecond performance at any scale with automatic scaling and global tables.
Distributed wide-column NoSQL database designed for handling massive amounts of data across multiple nodes with no single point of failure and tunable consistency.
High-performance Cassandra-compatible NoSQL database rewritten in C++ offering significantly better performance and lower latency than Apache Cassandra with the same API.
Open-source fork of Redis providing drop-in compatibility with Redis APIs while being community-driven and fully open-source under permissive BSD license.
schema Graph & Time-Series Databases
Leading native graph database optimized for storing and querying highly connected data with Cypher query language, ideal for social networks, recommendation engines, and knowledge graphs.
Purpose-built time-series database optimized for handling high write and query loads for metrics, events, and real-time analytics with built-in retention policies and downsampling.
Time-series database built as a PostgreSQL extension combining the reliability of PostgreSQL with optimizations for time-series data including automatic partitioning and compression.
Fully managed graph database service from AWS supporting both property graph model with Gremlin and RDF model with SPARQL for highly connected datasets.