Cross-platform, customizable ML solutions for live and streaming media.
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Updated
Nov 27, 2024 - C++
Cross-platform, customizable ML solutions for live and streaming media.
flink learning blog. https://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》
A curated list of awesome big data frameworks, ressources and other awesomeness.
A curated list of awesome System Design (A.K.A. Distributed Systems) resources.
Redpanda is a streaming data platform for developers. Kafka API compatible. 10x faster. No ZooKeeper. No JVM!
Fancy stream processing made operationally mundane
Building event-driven applications the easy way in Go.
Best-in-class stream processing, analytics, and management. Perform continuous analytics, or build event-driven applications, real-time ETL pipelines, and feature stores in minutes. Unified streaming and batch. PostgreSQL compatible.
Python Stream 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.
Fast and Lightweight Logs and Metrics processor for Linux, BSD, OSX and Windows
The Cloud Operational Data Store: use SQL to transform, deliver, and act on fast-changing data.
Upserts, Deletes And Incremental Processing on Big Data.
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Danfo.js is an open source, JavaScript library providing high performance, intuitive, and easy to use data structures for manipulating and processing structured data.
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
Lean and mean distributed stream processing system written in rust and web assembly. Alternative to Kafka + Flink in one.
Distributed stream processing engine in Rust
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