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.
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A flexible distributed key-value database that is optimized for caching and other realtime workloads.
Hazelcast is a unified real-time data platform combining stream processing with a fast data store, allowing customers to act instantly on data-in-motion for real-time insights.
- java
- hazelcast
- in-memory
- big-data
Apache Ignite
- distributed-sql-database
- iot
- osgi
- network-client
A distributed in-memory data store for the cloud
Pluggable foundation blocks for building distributed apps.
- azure
- c-sharp
- lock
- message-bus
:boom: EasyCaching is an open source caching library that contains basic usages and some advanced usages of caching which can help us to handle caching more easier!
- caching
- memory-cache
- distributed-cache
- aspnetcore
Build real-time apps (Blazor included) with less than 1% of extra code responsible for real-time updates. Host 10-1000x faster APIs relying on transparent and nearly 100% consistent caching. We call it DREAM, or Distributed REActive Memoization, and it's here to turn real-time on!
- blazor
- blazor-server
- blazor-webassembly
- realtime
A powerful caching library for Elixir with support for transactions, fallbacks and expirations
- caching
- caching-library
- distributed-systems
- memory-cache
In-memory and distributed caching toolkit for Elixir.
- cache
- distributed
- ecto
- elixir
In-memory key-value server in Rust that speaks RESP, so redis-cli and Redis clients connect. Locks, rate limits, job queues and a change feed are single commands; Raft-based failover. Clients for Rust, .NET, Go, Java, Python and Node.js.