awesome-streaming

efficient reliable unicast and multicast message transport.

toolkit and runtime for building highly concurrent, distributed, and resilient message-driven application on the JVM.

Actor based event driven concurrent framework for Python.

uses Luwak, a stored-query engine built on Lucene, to implement full-text search on streams.

stream processing tool designed to help build and monitor processing workflows.

tool for aggregating streams of Server-Sent Event (SSE) JSON data into a single stream.

real-time, fully managed and scalable data stream engine provided by AWS.

Google's managed stream and batch data processing engine. Supports running Beam pipelines.

a distributed stream processing framework built in C++ on top of Apache.

platform for distributed processing and real-time analytics. Provides toolkits for advanced analytics like geospatial, time series, etc. out of the box.

distributed processing framework and streaming machine learning library.

unified platform for big data stream and batch processing.

system for high-throughput, low-latency data stream processing that supports stateful computation, data-driven windowing semantics and iterative stream processing.

a realtime, distributed, fault-tolerant stream processing engine from Twitter.

distributed stream processing framework that build on Kafka(messaging, storage) and YARN(fault tolerance, processor isolation, security and resource management).

makes it easy to build scalable fault-tolerant streaming applications.

distributed real-time computation system. Storm is to stream processing what Hadoop is to batch processing.

unified model and set of language-specific SDKs for defining and executing data processing workflows, and also data ingestion and integration flows, supporting Enterprise Integration Patterns (EIPs) and Domain Specific Languages (DSLs), open sourced by Google.

a DSL that builds DAGs on top of Samza and provides exactly-once semantics.

component for complex event processing (CEP) and event series analysis.

lets you run Python code against real-time streams of data via Apache Storm.

library that lets you write MapReduce programs that look like native Scala or Java collection transformations and execute them on a number of well-known distributed MapReduce platforms, including Storm and Scalding.

a programming model and runtime that enables continuous streaming analytics on gateways and edge devices which can work with centralized systems to provide efficient and timely analytics across the whole IoT ecosystem: from the center to the edge, opens sourced by IBM.

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

lightweight stream processing engine for IoT.

distributed, partitioned, replicated commit log service, which provides the functionality of a messaging system, but with a unique design.

distributed pub-sub messaging platform with a very flexible messaging model and an intuitive client API.

a distributed system intended for streaming data between various heterogeneous source and destination systems with high reliability and throughput at scale from Linkedin (replaced databus).

Linkedin's Kafka -> HDFS pipeline.

Linkedin's source-agnostic distributed change data capture system.

distributed, reliable, and available service for efficiently collecting, aggregating, and moving large amounts of log data.

distributed streaming machine learning (ML) framework that contains a programing abstraction for distributed streaming ML algorithms.

sketches library from Yahoo!.

enables the use of Apache Storm for video processing by adding computer vision (CV) specific operations and data model.

mining Big Data streams using Spark Streaming from Huawei.

Provides a webserver to quickly setup and evaluate possible solutions to contextual multi-armed bandit (cMAB) problems.

realtime online machine learning library based on Trident.

Benthos is a high performance and resilient message streaming service, able to connect various sources and sinks and perform arbitrary actions, transformations and filters on payloads

Compositional, streaming I/O library for Scala.

high-performance Scala / Scala.js library for composing asynchronous and event-based programs.

Airbnb's Real-time Data Analysis and Alerting.

Stream Analytics Framework by Hortonworks, designed as a wrapper around existing streaming solutions like Storm. Aimed to allow users to drag-and-drop streaming components to focus on business logic.

A fully embeddable data streaming engine and stream processing API for Java.