Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
- anns
- nearest-neighbor-search
- faiss
- vector-search
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Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
A scalable, distributed, collaborative, document-graph database, for the realtime web
Scalable datastore for metrics, events, and real-time analytics
High-performance, scalable time-series database designed for Industrial IoT (IIoT) scenarios
Garnet is a remote cache-store from Microsoft Research that offers strong performance (throughput and latency), scalability, storage, recovery, cluster sharding, key migration, and replication features. Garnet can work with existing Redis clients.
The MEAN stack uses Mongo, Express, Angular(6) and Node for simple and scalable fullstack js applications
OceanBase is the unified distributed database for the AI era — open-source, multi-model, one engine for your most demanding workloads.
Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.
A horizontally scalable, highly available, multi-tenant, long term Prometheus.
A scalable, distributed Time Series Database.
LinDB is a scalable, high performance, high availability distributed time series database.
Fast scalable time series database
HyperDex is a scalable, searchable key-value store
A RocksDB compliant high performance scalable embedded key-value store
Distributed scalable database
A Redis based, fully automated and scalable database cache layer for Laravel
SiriDB is a highly-scalable, robust and super fast time series database. Build from the ground up SiriDB uses a unique mechanism to operate without a global index and allows server resources to be added on the fly. SiriDB's unique query language includes dynamic grouping of time series for easy analysis over large amounts of time series.
A highly scalable redis-persistent queuing system for vertx