Distributed reliable key-value store for the most critical data of a distributed system
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Updated
Oct 31, 2024 - Go
Distributed reliable key-value store for the most critical data of a distributed system
ClickHouse® is a real-time analytics DBMS
TiDB - the open-source, cloud-native, distributed SQL database designed for modern applications.
CockroachDB — the cloud native, distributed SQL database designed for high availability, effortless scale, and control over data placement.
A scalable, distributed, collaborative, document-graph database, for the realtime web
Empowering Data Intelligence with Distributed SQL for Sharding, Scalability, and Security Across All Databases.
The lightweight, user-friendly, distributed relational database built on SQLite.
Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang
FoundationDB - the open source, distributed, transactional key-value store
🥑 ArangoDB is a native multi-model database with flexible data models for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.
A curated list of awesome big data frameworks, ressources and other awesomeness.
Apache ZooKeeper
Distributed PostgreSQL as an extension
Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)
open source training courses about distributed database and distributed systems
YugabyteDB - the cloud native distributed SQL database for mission-critical applications.
The world's fastest open query engine for sub-second analytics both on and off the data lakehouse. With the flexibility to support nearly any scenario, StarRocks provides best-in-class performance for multi-dimensional analytics, real-time analytics, and ad-hoc queries. A Linux Foundation project.
OceanBase is an enterprise distributed relational database with high availability, high performance, horizontal scalability, and compatibility with SQL standards.
Best-in-class stream processing, analytics, and management. Perform continuous analytics, or build event-driven applications, real-time ETL pipelines, and feature stores in minutes. Unified streaming and batch. PostgreSQL compatible.
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