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Orchestrate everything, everywhere. The open-source control plane for workflows across data, infrastructure, business processes and AI agents. Declarative YAML, event-driven, any language, Git-versioned, scalable to millions of executions.
All-in-one IoT Platform - Device management, data collection, processing and visualization.
flink learning blog. http://www.54tianzhisheng.cn/ 含 Flink 入门、概念、原理、实战、性能调优、源码解析等内容。涉及 Flink Connector、Metrics、Library、DataStream API、Table API & SQL 等内容的学习案例，还有 Flink 落地应用的大型项目案例（PVUV、日志存储、百亿数据实时去重、监控告警）分享。欢迎大家支持我的专栏《大数据实时计算引擎 Flink 实战与性能优化》
Apache Beam is a unified programming model for Batch and Streaming data processing.
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.
Upserts, Deletes And Incremental Processing on Big Data.
Stream Processing and Complex Event Processing Engine
Framework for building Event-Driven Microservices
Apache StreamPipes - A self-service (Industrial) IoT toolbox to enable non-technical users to connect, analyze and explore IoT data streams.
Microservices library - scalecube-services is a high throughput, low latency reactive microservices library built to scale. It features: API-Gateways, service-discovery, service-load-balancing, the architecture supports plug-and-play service communication modules and features. built to provide performance and low-latency real-time stream-processing
PipelinR is a lightweight command processing pipeline ❍ ⇢ ❍ ⇢ ❍ for your Java awesome app.
CogComp's Natural Language Processing Libraries and Demos: Modules include lemmatizer, ner, pos, prep-srl, quantifier, question type, relation-extraction, similarity, temporal normalizer, tokenizer, transliteration, verb-sense, and more.
An extensible Java framework for building event-driven applications that break up XML and non-XML data into chunks for data integration
An open source, a high-performance hybrid integration platform that allows developers quick integration with any application, data, or system.
The database purpose-built for stream processing applications.
StreamFlow™ is a stream processing tool designed to help build and monitor processing workflows.
Stream Ops is a fully embeddable data streaming engine and stream processing API for Java.
Window-Based Hybrid CPU/GPU Stream Processing Engine
Develop streaming applications for IBM Streams in Python, Java & Scala.
Distributed, Scalable, Fault-Tolerant, Minimalistic Workflow Engine - No DAGs, No YAML, No Cumbersome Diagrams, Just Code
Stateful actors on Apache Flink 2.x and Java 21 — durable per-key state, exactly-once messaging, Kafka and Kinesis I/O, Kubernetes-native deployment. Continues the Apache Stateful Functions programming model on the modern Flink line.
The core libraries of the teknek stream processing platform
A general-purpose data analysis engine radically changing the way batch and stream data is processed