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apache/flink-cdc

Flink CDC is a streaming data integration tool

Java ◇ batch Apache-2.0

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★6.5KSTARS

⑂2.2KFORKS

!99ISSUES

🏆#1,018GLOBAL RANK

🔥3DAYS TRENDING

🚀

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Star History

Continuous Observations

Interactive star growth chart for apache/flink-cdc

Momentum

+162

STARS · LAST 30 DAYS

PER DAY

#63

MOST-STARRED Java

Window	7 days	30 days	90 days
Stars gained	+35	+162	+450
Per day	5	5	5
Forks gained	+11	+44	+110

flink-cdc gained 162 stars in the last 30 days, about 5 a day, and now has 6.5K. It is about 6 years old and has averaged roughly 1.1K stars a year. It ranks #63 among Java repositories and #1,018 across all languages on GitHubRepo.

Trending Record

flink-cdc has maintained a continuous presence across global trending indexes, peaking at #1457. Below is the 30-day activity profile:

💡 Overview

flink-cdc is an open-source project written in Java: Flink CDC is a streaming data integration tool.

Engineered for speed, consistency, and developer ease, it solves common hurdles in batch, cdc, change-data-capture. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

Optimized execution pipeline written in Java for predictable speed.

Zero-friction configuration with comprehensive sensible defaults out of the box.

Cross-platform runtime support across Linux, macOS, and Windows environments.

Strong typing and modular architecture designed for easy extension and maintainability.

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal

$ git clone https://github.com/apache/flink-cdc.git
cd flink-cdc

$ git clone https://github.com/apache/flink-cdc.git
cd flink-cdc

> git clone https://github.com/apache/flink-cdc.git
cd flink-cdc

⚙ System Requirements

Platforms

• macOS
• Linux
• Windows

Runtime & Dependencies

JDK 17 or higher (OpenJDK / GraalVM)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

flink-cdc coordinates its core functionality through a modular Java pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with flink-cdc.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

Install flink-cdc using your package manager: `git clone https://github.com/apache/flink-cdc.git`

Initialize your project workspace or configuration file for flink-cdc.

Import flink-cdc into your codebase or invoke it directly from your terminal.

Execute your test suite or run `flink-cdc --help` to verify successful setup.

👍 Strengths

Active community backing with 6,480 GitHub stars and verified adoption.

Permissive open-source distribution under the Apache-2.0 license.

Built in Java for high execution speed and developer familiarity.

Cross-platform compatibility across modern Linux, macOS, and Windows environments.

Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Java and modern CLI workflows.

Ecosystem extensions may require manual configuration depending on environment constraints.

Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

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The java implementation of Apache Dubbo. An RPC and microservice framework.

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Getting Started with Spring Boot 3:

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👥 Who Should Use This

Developers and engineering teams building with Java, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

apache/flink-cdc is currently ranked #1,018 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

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Frequently Asked Questions

What does flink-cdc do? +

Flink CDC is a streaming data integration tool

What language is flink-cdc written in? +

The primary language is Java. Topics include: batch, cdc, change-data-capture, data-integration, data-pipeline.

Is flink-cdc actively maintained? +

Yes, the last recorded push was on Sep 26, 2026 with 99 open issues being tracked.

How many stars does flink-cdc have? +

flink-cdc has 6,480 stars and 2,197 forks on GitHub.

How does flink-cdc rank among GitHub repositories? +

With 6,480 stars, apache/flink-cdc is ranked #1,018 globally across all repositories tracked on GitHubRepo and #63 among Java projects.

What license is flink-cdc distributed under? +

The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.

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💼

LinkedIn

Why flink-cdc is replacing paid subscriptions for engineering teams

Stop paying $50+/month for locked SaaS tools.

Over 6,480 developers have starred apache/flink-cdc, an impressive Java open-source project designed to Flink CDC is a streaming data integration tool.

Key Engineering Advantages:
• 100% Local-First: Complete data privacy with zero tracking or telemetry.
• Zero Subscription Costs: No paywalls, per-seat fees, or API markups.
• Complete Customization: Native open-source architecture you can fork, inspect, and deploy anywhere.
• Proven Adoption: 6,480 GitHub stars and 2,197 forks.

If you're looking to streamline your engineering workflows without ballooning software expenses, this is worth checking out.

👉 Full star velocity and architectural report: https://githubrepo.cloud/repo/apache/flink-cdc
⭐ GitHub Repository: https://github.com/apache/flink-cdc

#OpenSource #SoftwareEngineering #DeveloperTools #Tech #Programming #Java

🤖

Reddit (r/opensource, r/webdev, r/selfhosted)

Show r/opensource: flink-cdc – A free, self-hosted tool that lets you Flink CDC is a streaming data integration tool

Hey everyone,

I wanted to share an interesting open-source project called **flink-cdc** (https://github.com/apache/flink-cdc) that has been picking up heavy momentum lately (6,480 stars).

### What problem does it solve?
Many existing tools in this domain require expensive cloud plans or store your data on third-party servers. flink-cdc was built with a local-first philosophy, allowing developers to Flink CDC is a streaming data integration tool without recurring subscription costs or privacy compromises.

### Tech Stack & Details:
- **Language:** Java
- **License:** Apache-2.0
- **GitHub:** [apache/flink-cdc](https://github.com/apache/flink-cdc)
- **Live Star Momentum Tracker:** [https://githubrepo.cloud/repo/apache/flink-cdc](https://githubrepo.cloud/repo/apache/flink-cdc)

Has anyone here tested this in production or integrated it into existing pipelines? Would love to hear your experience and feedback!

🟧

Hacker News (Show HN)

Show HN: flink-cdc – Flink CDC is a streaming data integration tool

Hi HN,

flink-cdc is an open-source Java project designed to Flink CDC is a streaming data integration tool.

Rather than relying on closed cloud endpoints, it executes locally on your own machine, providing predictable latency, total privacy, and full control.

Repository: https://github.com/apache/flink-cdc
Documentation & Metrics: https://githubrepo.cloud/repo/apache/flink-cdc

Feedback and PRs are welcome.

✍️

Dev.to / Hashnode Tags: opensource, java, devtools, webdev

This GitHub repo replaces a $50 a month tool! Stop paying expensive software subscriptions. Meet flink-cdc (6,480 GitHub Stars)

---
title: This GitHub repo replaces a $50 a month tool! Stop paying expensive software subscriptions. Meet flink-cdc
published: true
tags: opensource, java, devtools, programming
---

## Stop Paying Software Subscriptions For This

Finding high-quality, production-ready open source alternatives to expensive proprietary software can save engineering teams thousands of dollars every year.

Today, we're looking at **[apache/flink-cdc](https://github.com/apache/flink-cdc)**, a rapidly rising repository with **6,480 GitHub stars** and **2,197 forks**.

### What is flink-cdc?

> Flink CDC is a streaming data integration tool

Written in **Java**, flink-cdc runs directly on your local workstation or private server, keeping your data secure and eliminating recurring license fees.

### Key Highlights
- **High Performance:** Lightweight, reliable, and built in Java.
- **Privacy & Security:** Complete ownership of your environment and data.
- **Growing Momentum:** Ranked **#1,018** globally across tracked repositories on [GitHubRepo](https://githubrepo.cloud/repo/apache/flink-cdc).

### Quick Start
To get started locally:

```bash
git clone https://github.com/apache/flink-cdc.git
cd flink-cdc
```

Check out the full repository and star history analytics here:
- **GitHub:** [apache/flink-cdc](https://github.com/apache/flink-cdc)
- **Star Velocity Tracker:** [flink-cdc on GitHubRepo.cloud](https://githubrepo.cloud/repo/apache/flink-cdc)

𝕏

X / Twitter Communities

Thread / Community Post for flink-cdc

Developers are sleeping on this GitHub repo 👇

apache/flink-cdc (6,480 ⭐) replaces expensive monthly software subscriptions with 100% free open source code.

⚡ What it does: Flink CDC is a streaming data integration tool
💻 Built with: Java
🔒 100% local execution & privacy

Check live star velocity and benchmarks:
https://githubrepo.cloud/repo/apache/flink-cdc

#opensource #developer #coding #tech #programming

🧵

Threads Topics

Topic Discussion: Open Source & Developer Tools

This GitHub repo replaces a $50/month tool! 🚀

If you want to save hours of manual work and stop paying subscriptions, check out apache/flink-cdc.

It already has over 6,480 stars and lets you Flink CDC is a streaming data integration tool.

Drop a comment if you've tried it, or check the full star momentum report:
https://githubrepo.cloud/repo/apache/flink-cdc

From our network

apache/flink-cdc

Star History

Momentum

Trending Record

💡 Overview

⚡ Key Features

📥 Installation

⚙ System Requirements

Platforms

Runtime & Dependencies

Architecture

🧠 How It Works

🎯 Production Use Cases

Autonomous AI Agents

Model Inference & Prompting

Context Memory & RAG

Developer Productivity

🚀 Getting Started

👍 Strengths

⚠️ Considerations

⇄ Alternatives & Direct Competitors

👥 Who Should Use This

🏆 Nearby in the Rankings

Frequently Asked Questions

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