An Open Source Big Data Bus

The goal of DataFibers is
to simplify big data processing
and be your Data Heros

Simple, but Powerful

  • Various data connects and sinks
  • Stream and Batch trasnforms
  • Topics, Schema and Meta-data
  • Data enginering and science together

Complete Guideline

  • The Insignt of Big data processing
  • The value of Kappa architecture
  • Considerations of design
  • Best practice with DataFibers
  • Rest API Document

Services

  • Community Support
  • Professional Support
  • Consulting Service
  • Technical trainings
  • Meetup and Conference

Simple

Simply build, plug, and immediately subscribe your data anywhere at anytime.

FLEXIBLE

Batch, Stream, Real-Time, or Hybrid data processing are right at hand.

Powerful

Data landing, discovery, transfer, transform, cache, mining are all in one place.

Consulting

Explore the oppotunities from DataFibers and Big Data to business success

Support

We actively support development/deployment requests on DataFibers and queries on big data use cases.

Training

We have provided on-line and off-line big data professional trainings across world.

Know more about DataFibers?

Check out <<DataFibers Complete Guideline>>

Read Our EBook

From our blog

Here, we are sharing our experience and best practice of using DataFibers as well as other big data technology.

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Deep Dive into Codex: Architecting Intelligent Data Pipelines with AI

on October 14, 2026

In the ever-evolving landscape of data engineering, the drive towards intelligent automation is relentless. While ETL/ELT tools have revolutionized data movement, the true frontier lies in empowering these pipelines with cognitive capabilities. This is where technologies like OpenAI’s Codex, when thoughtfully integrated, can transform static data flows into dynamic, self-optimizing systems. This deep dive isn’t about a high-level “what is Codex?” overview. We’re going under the hood, exploring how to architect and implement Codex-powered solutions for practical data pipeline challenges.

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Beyond Basics: Unpacking Grok's Engine for Data Engineers

on October 11, 2026

Grok, a seemingly simple pattern-matching tool, is more than just a regex superset. For data engineers, understanding its inner workings is crucial for efficient log parsing, anomaly detection, and building robust data pipelines. This deep-dive will explore grok’s architecture, common pitfalls, and advanced usage patterns. The Grok “Engine”: A State Machine Under the Hood At its core, grok operates like a sophisticated state machine. When grok parses a line of text, it attempts to match predefined patterns against the incoming data.

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kimi-model Deep Dive: Unpacking the Architecture and Implementation of a Customizable Language Model

on October 4, 2026

The landscape of large language models (LLMs) is rapidly evolving, with a constant stream of new architectures and fine-tuning techniques emerging. Among these, kimi-model stands out for its focus on modularity, customization, and efficient deployment. This deep-dive will take you under the hood of kimi-model, exploring its architectural patterns, the intricacies of its implementation, and the practical challenges you might encounter when integrating it into your data pipelines. Beyond the Black Box: Architectural Foundations of kimi-model While many LLMs present themselves as monolithic entities, kimi-model is designed with a modular approach.

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Under the Hood: Mastering Loop Engineering for Autonomous Systems

on September 30, 2026

In the quest for increasingly autonomous and self-optimizing systems, Loop Engineering emerges as a critical discipline. Far beyond simple iterative programming constructs, it’s the art and science of designing, building, and managing sophisticated feedback loops that enable systems to observe, analyze, decide, and act (OODA/SADA) in response to dynamic environments. For the DataFibers Community, this isn’t just theory; it’s the architectural bedrock for resilient distributed systems, advanced MLOps pipelines, and intelligent infrastructure automation.

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