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Appears in 6 awesome lists
A scalable, distributed, low latency, high throughput graph database aimed at providing Google production level scale and throughput, with low enough latency to be serving real time user queries, over terabytes of structured data.
Section: Graph Data Model · A scalable, distributed, low latency, high throughput graph database aimed at providing Google production level scale and throughput, with low enough latency to be serving real time user queries, over terabytes of structured data.
Section: Databases Implemented in Go · Scalable, Distributed, Low Latency, High Throughput Graph Database.
Section: Go中实现的数据库 · star:21486 可伸缩、分布式、低延迟、高吞吐量的图形数据库。
Section: Database · Scalable, Distributed, Low Latency, High Throughput Graph Database.
Section: 数据库 · 分布式图数据库
Section: Databases · high-performance graph database for real-time use cases
Milvus is a cloud-native, open-source vector database built to manage embedding vectors generated by machine learning models and neural networks.
/mysqld_exporter - Time series database for real-time monitoring and alerting.
Dolt is Git for Data! Dolt is a SQL database that you can fork, clone, branch, merge, push and pull just like a git repository.
fast, resource-effective and scalable open source time series database. May be used as long-term remote storage for Prometheus. Supports PromQL.
TiDB is built for agentic workloads that grow unpredictably, with ACID guarantees and native support for transactions, analytics, and vector search. No data silos. No noisy neighbors. No infrastructure ceiling.
The lightweight, fault-tolerant database built on SQLite. Designed to keep your data highly available with minimal effort.