SQL stream processing, analytics, and management. We decouple storage and compute to offer speedy bootstrapping, dynamic scaling, time-travel queries, and efficient joins.

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.

A microservices-based Streaming and Batch data processing in Cloud Foundry and Kubernetes

core fluxtion static event processor generator tool and runtime components

Apache StreamPipes - A self-service (Industrial) IoT toolbox to enable non-technical users to connect, analyze and explore IoT data streams.

Fancy stream processing made operationally mundane

A lightweight stream processing library for Go

Upserts, Deletes And Incremental Processing on Big Data.

A curated list of awesome big data frameworks, resources and other awesomeness. With repository stars⭐ and forks🍴

FastStream is a powerful and easy-to-use Python framework for building asynchronous services interacting with event streams such as Apache Kafka, RabbitMQ, NATS and Redis.

HStreamDB is an open-source, cloud-native streaming database for IoT and beyond. Modernize your data stack for real-time applications.

A high-performance observability data pipeline.

The data warehouse for operational workloads.

A streaming SQL engine, a fast and lightweight alternative to ksqlDB and Apache Flink, 🚀 powered by ClickHouse.

a payment application intended for deployment by the united states treasury that replaces banking with accounting

Redpanda is a streaming data platform for developers. Kafka API compatible. 10x faster. No ZooKeeper. No JVM!

Kubernetes-native platform to run massively parallel data/streaming jobs

Cross-platform, customizable ML solutions for live and streaming media.

Lean and mean distributed stream processing system written in rust and web assembly.

DevSecOps for PII