Apache Spark - A unified analytics engine for large-scale data processing
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Apache Spark - A unified analytics engine for large-scale data processing
Apache Flink
Event streaming platform for agentic AI. Continuously ingest, transform, and serve event streams in real time, at scale.
Apache Beam is a unified programming model for Batch and Streaming data processing.
Fast and Lightweight Logs, Metrics and Traces processor for Linux, BSD, OSX and Windows
The live data layer for apps and AI agents. Create up-to-the-second views into your business, just using SQL
Distributed stream processing engine in Rust
Drop-in Apache Spark replacement written in Rust, unifying batch processing, stream processing, and compute-intensive AI workloads.
High-performance time-series aggregation for PostgreSQL
YTsaurus is a scalable and fault-tolerant open-source big data platform.
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.
The Feldera Incremental Computation Engine
基于开源的flink,对其实时sql进行扩展;主要实现了流与维表的join,支持原生flink SQL所有的语法
基于flink的实时流计算web平台
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.
Esper Complex Event Processing, Streaming SQL and Event Series Analysis
Build platforms that flexibly mix SQL, batch, and stream processing paradigms
HStreamDB is an open-source, cloud-native streaming database for IoT and beyond. Modernize your data stack for real-time applications.
The database purpose-built for stream processing applications.
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
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