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Tag: Data pipelines and messaging
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1–24 of 26 · Most stars

Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.

  • batch-processing
  • kafka
  • pathway
  • python

SeaTunnel is a multimodal, high-performance, distributed, massive data integration tool.

  • data-integration
  • high-performance
  • offline
  • real-time

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.

🪽 An open, easy, fast, reliable and battery-efficient solution for real-time communications

  • api
  • web-api
  • server-sent-events
  • subscriptions

The fastest unified streaming SQL Engine in a single C++ binary. ⚡ Millisecond latency. 100+ GB/s throughput. Continuously compute stateful context from streams, logs, metrics, events, and CDC.

High performance Rust stream processing engine seamlessly integrates AI capabilities, providing powerful real-time data processing and intelligent analysis.

  • flow
  • rust
  • rust-lang
  • stream

Real-time decision features without streaming infra. Turn live events into product reflexes — no Kafka, no Flink, no feature store.

Time-series database and pub/sub messaging server for IoT and real-time devices, in Go: an embeddable storage engine with TTLs, wildcard topics and encryption, and a clustered server over gRPC, TCP and WebSocket with replication and rolling upgrades.

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.