distributed-database
Repositories (571)
Distributed multi-model database: PostgreSQL wire, branch-per-PR, OTel JOIN, vector + FTS, Raft. One pure-Go, zero-CGo, distroless binary. Apache-2.0.
Learn how and why to store Data on a Decentralized Peer-to-Peer Network or on Blockchain.
A decentralized, fault-tolerant key-value store designed for high availability and eventual consistency. Implements consistent hashing, tunable N/R/W...
A high-performance, fault-tolerant distributed consensus engine implementing state machine replication, dynamic leader election, and linearizable log...
Build a MongoDB NoSQL analytics platform for Airbnb data with disaster recovery, high availability, and geo-distributed sharding
This repository contains a IoT Sensor Data Management System Simulator developed as the final project for Semester 7 in the course BSCS-602: Distirbut...
Universal memory for human and agent teamwork — transactional, distributed, built on CockroachDB and AWS serverless.
Distributed Raft key-value store in Go with durable consensus state, HTTP API, multi-process failure tests, and optional multi-Raft sharding.
Citus Data is the company behind Citus, an open source extension that turns PostgreSQL into a distributed database. Rather than forking Postgres, Citu...
Dgraph — Distributed graph database with a native GraphQL API, automatic type enforcement, real-time subscriptions, horizontal scaling, and built-in a...
SequoiaDB (巨杉数据库) is a distributed, document-oriented NoSQL database built for financial-grade workloads and widely deployed across banking, insu...
Interconnected POS Desktop App using Oracle Distributed Database
SQLite that several machines keep identical. Embedded replicated SQLite on paxos-zig, with the zaxon CLI.
Universal memory for human and agent teamwork — transactional, distributed, built on CockroachDB and AWS serverless.
Crate.io is the company behind CrateDB, a distributed SQL database engineered for real-time analytics on large volumes of operational data. CrateDB un...
DBlicious keeps PostgreSQL and MySQL semantics in their upstream engines while sharing durability, object storage, timelines, and lifecycle machinery.