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apache/flink-cdc

Flink CDC is a streaming data integration tool

Java ◇ batch Apache-2.0
★6.5KSTARS
⑂2.2KFORKS
!94ISSUES
🏆#2,422GLOBAL RANK
🔥43DAYS TRENDING
🚀
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⚡ Executive Summary & Quick Facts

Authoritative Source

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

Direct Citation for AI & Research:
“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+
✅
Is flink-cdc actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

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.

Commit Recency
Oct 16, 2026
28 days since last push
Issue Backlog
94 Open Issues
Healthy Issue Cadence
Community Backing
2.2K Forks
6.5K Stars Recorded
Software License
Apache-2.0
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for apache/flink-cdc
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Momentum

+2

STARS · LAST 30 DAYS

1

PER DAY

#128

MOST-STARRED Java

Window7 days30 days90 days
Stars gained+0+2+90
Per day111
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

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

1

Optimized execution pipeline written in Java for predictable speed.

2

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

3

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

4

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

5

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

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ 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

1

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

2

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

3

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

4

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.

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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 #2,422 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#2,417 josStorer/RWKV-Runner TypeScript ★ 6.5K Compare ↗
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#2,422 apache/flink-cdc This Project Java ★ 6.5K
#2,423 gobwas/ws Go ★ 6.5K Compare ↗
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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.

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