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For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine.
A modern replacement for Redis and Memcached
Create full-fledged APIs for slowly moving datasets without writing a single line of code.
Distributed, in-memory key/value store and cache. It can be used as an embedded Go library and a language-independent service.
OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.
Hyrise is a research in-memory database.
GhostDB is a distributed, in-memory, general purpose key-value data store that delivers microsecond performance at any scale.
High-Performance Java-Native-Persistence. Store and load any Java Object Graph or Subgraphs partially, Relieved of Heavy-weight JPA. Microsecond Response Time. Ultra-High Throughput. Minimum of Latencies. Create Ultra-Fast In-Memory Database Applications & Microservices.
Embeddable and distributed in-memory alternative to Redis.
Tsurugi - next generation RDB for the new era
FlashDB is an embeddable, in-memory key/value database in Go (with Redis like commands and super easy to read)
In-memory event-sourced ACID-transactional distributed object graph engine for .NET Standard
High-Performance Java-Native-Persistence. Store and load any Java Object Graph or Subgraphs partially, Relieved of Heavy-weight JPA. Microsecond Response Time. Ultra-High Throughput. Minimum of Latencies. Create Ultra-Fast In-Memory Database Applications & Microservices.
Obevo is a database deployment tool that handles enterprise scale schemas and complexity
Ultrafast and lightweight in-process memory database written in F# that supports: transactions, secondary indexes, persistence, and data size larger than RAM.
blazing fast, feature-rich in-memory database written in TypeScript
🗃️ An in-memory JS database optimized for large scale storage on the frontend.
Toolkit for graph-relational data across space and time