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Starred repositories
📚 Tech blogs & talks by companies that run Apache Flink in production
Stream Processing with Apache Flink - Java Examples
Flink SQL connector for ClickHouse. Support ClickHouseCatalog and read/write primary data, maps, arrays to clickhouse.
High-performance Stream Processing Framework. An alternative to Apache Flink.
Benchmarks for Low Latency (Streaming) solutions including Apache Storm, Apache Spark, Apache Flink, ...
Low-code tool for automating actions on real time data | Stream processing for the users.
The Apache Flink SQL Cookbook is a curated collection of examples, patterns, and use cases of Apache Flink SQL. Many of the recipes are completely self-contained and can be run in Ververica Platfor…
High-performance, low-footprint SQL database written in C++. Process millions of rows per second from Kafka/Pulsar, Iceberg, or ClickHouse, and seamlessly write results back. Supports powerful feat…
Dinky is a real-time data development platform based on Apache Flink, enabling agile data development, deployment and operation.
Apache Linkis builds a computation middleware layer to facilitate connection, governance and orchestration between the upper applications and the underlying data engines.
Qualitis is a one-stop data quality management platform that supports quality verification, notification, and management for various datasource. It is used to solve various data quality problems ca…
Fancy stream processing made operationally mundane. This repository is a fork of the original project before the license was changed.
Flock: A Low-Cost Streaming Query Engine on FaaS Platforms
Lightweight, fault-tolerant message streams.
Apache ECharts is a powerful, interactive charting and data visualization library for browser
Work with your web service, database, and streaming schemas in a single format.
Flink CDC is a streaming data integration tool
The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.