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
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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.
Asynchronous Python framework for event-driven services. A thin client for Kafka, RabbitMQ, NATS, Redis and MQTT with full access to native broker features, plus AsyncAPI docs, in-memory tests and observability out of the box.
Apache Ignite
In-memory message queue with an Amazon SQS-compatible interface. Runs stand-alone or embedded.
Embeddable and distributed in-memory alternative to Redis.
Elixir queue! A simple, in-memory queue with worker pooling and rate limiting in Elixir.
A Simplest in-memory and Distributed Storage-Agnostic Message Queue for Your Concurrent Go Program
A Kafka log inspired in-memory and append-only data structure
TinyMQ - a diminutive, in-memory message queue
hypermatch is a high-performance ⚡ Go library designed for rapid matching of a large number of rules to events. It processes thousands of events per second 🚀 against extensive rule sets in-memory with minimal latency ⏱️.