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GoogleCloudPlatform/DataflowTemplates

Cloud Dataflow Google-provided templates for solving in-Cloud data tasks

Java ◇ apache-beam Apache-2.0
★1.3KSTARS
⑂1.1KFORKS
!130ISSUES
🏆#3,679GLOBAL RANK
🔥3DAYS TRENDING
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Momentum

+33

STARS · LAST 30 DAYS

1

PER DAY

#284

MOST-STARRED Java

Window7 days30 days90 days
Stars gained+7+33+90
Per day111
Forks gained+6+22+56

DataflowTemplates gained 33 stars in the last 30 days, about 1 a day, and now has 1.3K. It is about 9 years old and has averaged roughly 146 stars a year. It ranks #284 among Java repositories and #3,679 across all languages on GitHubRepo.

Trending Record

DataflowTemplates has maintained a continuous presence across global trending indexes, peaking at #3874. Below is the 30-day activity profile:

💡 Overview

DataflowTemplates is an open-source project written in Java: Cloud Dataflow Google-provided templates for solving in-Cloud data tasks.

Engineered for speed, consistency, and developer ease, it solves common hurdles in apache-beam, bigquery, bigtable. 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/GoogleCloudPlatform/DataflowTemplates.git
cd DataflowTemplates

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

JDK 17 or higher (OpenJDK / GraalVM)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

DataflowTemplates 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

High-Throughput Storage

Persist and retrieve structured data records with minimal latency and high concurrency.

In-Memory Caching

Accelerate application response times by caching frequently queried database entities.

Analytical Queries

Run aggregate metrics and point lookups across large sets of records.

Distributed Replication

Synchronize state across multiple cluster nodes with strong consistency guarantees.

🚀 Getting Started

1

Install DataflowTemplates using your package manager: `git clone https://github.com/GoogleCloudPlatform/DataflowTemplates.git`

2

Initialize your project workspace or configuration file for DataflowTemplates.

3

Import DataflowTemplates into your codebase or invoke it directly from your terminal.

4

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

👍 Strengths

Active community backing with 1,315 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

GoogleCloudPlatform/DataflowTemplates is currently ranked #3,679 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#3,672 sirthias/parboiled Java ★ 1.3K Compare ↗
#3,675 redis/redis-om-python Python ★ 1.3K Compare ↗
#3,675 eliaskosunen/scnlib C++ ★ 1.3K Compare ↗
#3,677 DBraun/DawDreamer C++ ★ 1.3K Compare ↗
#3,677 airbnb/epoxy-ios Swift ★ 1.3K Compare ↗
#3,679 GoogleCloudPlatform/DataflowTemplates This Project Java ★ 1.3K
#3,679 matthuhiggins/foreigner Ruby ★ 1.3K Compare ↗
#3,679 enormego/EGOCache Objective-C ★ 1.3K Compare ↗
#3,679 defunkt/pystache Python ★ 1.3K Compare ↗
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Frequently Asked Questions

What does DataflowTemplates do? +

Cloud Dataflow Google-provided templates for solving in-Cloud data tasks

What language is DataflowTemplates written in? +

The primary language is Java. Topics include: apache-beam, bigquery, bigtable, dataflow-templates, google-cloud-dataflow.

Is DataflowTemplates actively maintained? +

Yes, the last recorded push was on Oct 1, 2026 with 130 open issues being tracked.

How many stars does DataflowTemplates have? +

DataflowTemplates has 1,315 stars and 1,118 forks on GitHub.

How does DataflowTemplates rank among GitHub repositories? +

With 1,315 stars, GoogleCloudPlatform/DataflowTemplates is ranked #3,679 globally across all repositories tracked on GitHubRepo and #284 among Java projects.

What license is DataflowTemplates distributed under? +

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

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