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.
Apache KIE (Knowledge Is Everything) is the home of Drools, OptaPlanner, jBPM, and Kogito.
Kubernetes-native platform to run massively parallel data/streaming jobs
Lightweight data stream processing engine for IoT edge
A platform that makes it easy for developers to build realtime, cost-effective, operations-focused applications
🌊 Continuously synchronize the systems where your data lives, to the systems where you _want_ it to live, by managing your data flows with Estuary. 🌊
Build platforms that flexibly mix SQL, batch, and stream processing paradigms
Tenzir is the data pipeline engine for security teams.
HStreamDB is an open-source, cloud-native streaming database for IoT and beyond. Modernize your data stack for real-time applications.
Compositional pipelines
Haskell distributed stream processing with exactly-once semantics
Scramjet Platform is a distributed runtime supervisor that can run data processing programs called Sequences and manage local resources on any Linux server, Docker on small edge servers, and even large-scale Kubernetes clusters in the cloud or datacenters without exposing network ports to the public internet.
A general-purpose data analysis engine radically changing the way batch and stream data is processed