#Cdc
Showing 17 of 17 repositories tagged #cdc, ranked by stars
SeaTunnel is a multimodal, high-performance, distributed, massive data integration tool.
The live data layer for apps and AI agents. Create up-to-the-second views into your business, just using SQL
Fast, Simple and a cost effective tool to replicate data from Postgres to Data Warehouses, Queues and Storage
Apache Kafka, Apache Flink and Confluent Platform examples and demos
ApeCloud's Data Transfer Suite, written in Rust. Provides ultra-fast data replication between MySQL, PostgreSQL, Redis, MongoDB, Kafka and ClickHouse, ideal for disaster recovery (DR) and migration scenarios.
A collection of examples for working and building with ClickHouse
Examples of Flink on Azure
A data and analytics engineering platform designed for real-time sports betting analytics.
Automatically scrape data and statistics on Coronavirus to make them easily accessible in CSV format
100+ data engineering projects from scratch — streaming, CDC, table formats, query engines, consensus, governance. 2,500+ tests, mypy strict.
This repository should help people that would like to code in R and work with the National Health and Nutrition Examination Survey (NHANES). Some topics corved are SQL , logistic regression.... etc
☣️ Shell plugin for zsh/bash that allows you to cd to subdirectories of user-defined directories from anywhere, without editing CDPATH.
DBConvert Streams: Database IDE, Federated SQL, Real-time CDC & AI assistants via MCP — explore, query, and replicate data across databases and files
A versatile, high-performance Change Data Capture (CDC) engine built in Rust. Streams database changes into downstream systems like Kafka, Redis, NATS and etc, giving you full control over routing, transformation, and delivery.
A high-performance, production-ready PostgreSQL to Any database replication tool using Change Data Capture (CDC) with logical replication.
CDC, radically simplified. One Rust binary replaces Kafka + Debezium + ZooKeeper + Flink. Any source, any target. 300K+ events/sec · <1s latency · ~5 MB RAM. Fewer components = fewer failures + lower cloud bill. Open-source.
A high-performance, type-safe CDC/Data replication framework for Rust, focused on real-time data pipelines.