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
Repository Index
47,133 repositories indexed
1–10 of 10 · Most stars
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
- distributed-sql-database
- iot
- osgi
- network-client
Fast, efficient, and scalable distributed map/reduce system, DAG execution, in memory or on disk, written in pure Go, runs standalone or distributedly.
- distributed-computing
- map-reduce
- golang
- distributed-systems
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
Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, Bitmaps.
This is a library that provides generic functionalities for the implementation of imports. In addition to maximum performance and optimized memory consumption, Pacemaker can also be used to implement imports in distributed scenarios that place the highest demands on speed and stability.
- magento
- import
- products
- categories
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 ⏱️.
- go
- golang
- matching
- matching-engine