Fast and Lightweight Logs, Metrics and Traces processor for Linux, BSD, OSX and Windows
- fluentd
- c
- logging
- data-collector
Repository Index
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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.
- java
- hazelcast
- in-memory
- big-data
Fast web applications through dynamic, partially-stateful dataflow
Ultra-high performance reactive programming
High-performance time-series aggregation for PostgreSQL
- realtime
- stream-processing
- analytics
- sql
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.
- clickhouse
- sql
- redpanda
- single-binary
A lightweight stream processing library for Go
Lightweight data stream processing engine for IoT edge
High performance Rust stream processing engine seamlessly integrates AI capabilities, providing powerful real-time data processing and intelligent analysis.
- flow
- rust
- rust-lang
- stream
Lightweight real-time big data streaming engine over Apache Pekko
- akka
- stream-processing
- bigdata
- scala
Lightweight stream processing engine for IoT
A lightweight Reactive Streams Infrastructure Toolkit for Scala.
Multi-core Window-Based Stream Processing Engine
- llvm
- incremental-computation
- aggregation
- stream-processing
Lightweight SQL-based stream processing engine for IoT edge.
Open-source streaming SQL engine written in Rust using Apache Arrow and DataFusion. Supports continuous queries, temporal stream joins, tumbling/session windows, and CDC/Kafka connectors. Lightweight, embeddable, and sub-microsecond latency
Window-Based Hybrid CPU/GPU Stream Processing Engine
- stream-processing
- hybrid
- multicore
- gpu
A light-weight package for in-app micro batch processing
- batch
- batch-processing
- event-processing
- go