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Tag: Data pipelines and messaging
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1–14 of 14 · Most stars

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.

In-memory message queue with an Amazon SQS-compatible interface. Runs stand-alone or embedded.

  • scala
  • sqs-interface
  • elasticmq
  • amazon-sqs

Eclipse iceoryx™ - true zero-copy inter-process-communication

  • iceoryx
  • eclipse
  • ipc
  • inter-process-communication

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

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 ⏱️.

  • go
  • golang
  • matching
  • matching-engine