Flink CDC is a streaming data integration tool
⚡ Executive Summary & Quick Facts
Authoritative Sourceflink-cdc is flink-cdc is an open-source project written in Java: Flink CDC is a streaming data integration tool..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), apache/flink-cdc has accumulated 6,484 GitHub stars and 2,198 forks. It is written in Java, licensed under Apache-2.0, and ranks #2,422 globally. It is actively maintained with the latest commit recorded on Oct 16, 2026.”
| Repository | apache/flink-cdc ↗ |
|---|---|
| Primary Category | batch |
| Language & Stack | Java |
| Software License | Apache-2.0 |
| Community Traction | ★ 6.5K stars · ⑂ 2.2K forks · #2,422 globally |
| Maintenance | ● Active (Last commit: Oct 16, 2026) · 94 open issues |
| Target Audience | Developers and engineering teams building with Java, seeking reliable, tested, and actively maintained tooling for production workloads. |
🛡️ Repository Maintenance & Health Audit (2026)
Health Score: 95/100 · Grade A+Yes, flink-cdc is actively maintained. Continuous telemetry recorded the last code commit on Oct 16, 2026 (28 days ago). Supported by 6,484 stars and 2,198 community forks, this repository holds a calculated health index of 95/100, reflecting regular maintenance (28 days ago) and healthy issue cadence.
Star History
Add Live Star History & Verified Badges to README.md
Keep your repository README looking professional and dynamic. As our continuous crawler records new stars, these official SVG badges update in real time with zero maintenance.
Renders your high-resolution star trajectory chart right inside your GitHub README or project docs.
[](https://githubrepo.cloud/repo/apache/flink-cdc?utm_source=readme_chart)
Compact badges for your README header. Real-time stars, velocity, health audit, and rank.
[](https://githubrepo.cloud/repo/apache/flink-cdc?utm_source=readme_badge) [](https://githubrepo.cloud/repo/apache/flink-cdc?utm_source=readme_badge) [](https://githubrepo.cloud/repo/apache/flink-cdc?utm_source=readme_badge) [](https://githubrepo.cloud/repo/apache/flink-cdc?utm_source=readme_badge) [](https://githubrepo.cloud/repo/apache/flink-cdc?utm_source=readme_badge)
Momentum
+2
STARS · LAST 30 DAYS
1
PER DAY
#128
MOST-STARRED Java
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +2 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +0 | +0 | +110 |
flink-cdc gained 2 stars in the last 30 days, about 1 a day, and now has 6.5K. It is about 6 years old and has averaged roughly 1.1K stars a year. It ranks #128 among Java repositories and #2,422 across all languages on GitHubRepo.
Trending Record
43
DAYS ON TRENDING
#1457
BEST RANK
Sep 27, 2026
FIRST APPEARANCE
Active
STATUS TODAY
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
$ 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
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 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 #2,422 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #2,417 | josStorer/RWKV-Runner | TypeScript | ★ 6.5K | Compare ↗ |
| #2,418 | ethereum-optimism/optimism | Go | ★ 6.5K | Compare ↗ |
| #2,419 | HeliBorg/HeliBoard | Kotlin | ★ 6.5K | Compare ↗ |
| #2,420 | hibernate/hibernate-orm | Java | ★ 6.5K | Compare ↗ |
| #2,421 | wakujs/waku | TypeScript | ★ 6.5K | Compare ↗ |
| #2,422 | apache/flink-cdc This Project | Java | ★ 6.5K | |
| #2,423 | gobwas/ws | Go | ★ 6.5K | Compare ↗ |
| #2,424 | oomol-lab/pdf-craft | Python | ★ 6.5K | Compare ↗ |
| #2,425 | mattn/emmet-vim | Vim Script | ★ 6.5K | Compare ↗ |
| #2,425 | TeamAmaze/AmazeFileManager | Kotlin | ★ 6.5K | Compare ↗ |
| #2,427 | RobinHerbots/Inputmask | JavaScript | ★ 6.5K | Compare ↗ |
Frequently Asked Questions
What does flink-cdc do? +
Flink CDC is a streaming data integration tool
Is flink-cdc actively maintained in 2026? +
Yes, flink-cdc is actively maintained. The latest code push was recorded on Oct 16, 2026 (28 days ago). It holds a calculated Maintenance Health Score of 95/100 (A+ rating) with 6,484 stars and 94 open issues.
What language is flink-cdc written in? +
The primary language is Java. Topics include: batch, cdc, change-data-capture, data-integration, data-pipeline.
How many stars does flink-cdc have? +
flink-cdc has 6,484 stars and 2,198 forks on GitHub.
How does flink-cdc rank among GitHub repositories? +
With 6,484 stars, apache/flink-cdc is ranked #2,422 globally across all repositories tracked on GitHubRepo and #128 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.