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Data Bricks

Name: Data Bricks
Author: hanxueyuan

by hanxueyuan · GitHub ↗ · v1.0.0 · MIT-0

cross-platform ✓ Security Clean

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Install in OpenClaw

/install data-bricks

Description

Databricks offers a unified cloud platform built on Apache Spark for big data processing, Lakehouse architecture, and ML lifecycle management.

README (SKILL.md)

Databricks

历史时间线

2009-2013年: Matei Zaharia 在 UC Berkeley AMPLab 创建 Apache Spark
2013年: 联合创始人在 Spark 基础上成立 Databricks
2016年: 推出 Databricks Unified Analytics Platform
2019年: 推出 Delta Lake — 开源数据存储层
2021年: 提出 Lakehouse 架构概念，统一数据湖与数据仓库
2023年: 推出 DBRX 开源大模型，展示 AI 平台能力
2024年: 估值 430 亿，准备 IPO

商业模式

基于 Apache Spark 构建的云数据分析平台。核心产品包括 Databricks Lakehouse Platform、Unity Catalog（数据治理）、MLflow（ML 生命周期管理）。与 Snowflake 在数据处理和 AI 领域直接竞争。

护城河分析

Apache Spark 创始人团队，开源社区深厚根基
Delta Lake 开放标准，避免供应商锁定
Lakehouse 架构融合数据湖灵活性与数据仓库性能
MLflow 成为 ML 生命周期管理事实标准

关键数据

2024 年 ARR 约 19 亿美元，同比增长约 40%。估值 430 亿美元（2023 年 9 月融资），拥有 10,000+ 客户。

有趣事实

联合创始人 Ali Ghodsi 是 UC Berkeley 教授，Matei Zaharia 是 Spark 原作者
Databricks 这个名字来自"data" + "bricks"，暗示构建数据基础设施的"砖块"
DBRX 模型在发布时超越了 GPT-3.5 在多项基准上的表现

Usage Guidance

This skill appears safe to install as a reference note. It only provides background information about Databricks and does not request access to your files, accounts, credentials, or tools.

Capability Analysis

Type: OpenClaw Skill Name: data-bricks Version: 1.0.0 The skill bundle contains purely informational content about the company Databricks, including its history, business model, and market position. There is no executable code, script, or prompt injection logic in SKILL.md or _meta.json.

Capability Assessment

✓ Purpose & Capability

The SKILL.md content is a short company/product overview of Databricks, aligned with the stated research-oriented purpose.

✓ Instruction Scope

The instructions only describe when to read the skill and provide background information; they do not direct the agent to perform actions, override user intent, or use tools.

✓ Install Mechanism

No install specification, dependencies, binaries, or helper code are present.

✓ Credentials

The skill requests no environment variables, credentials, local files, network access, or OS-specific capabilities.

✓ Persistence & Privilege

No persistence, background execution, privileged access, memory use, or account authority is described.

How to Use

Make sure OpenClaw is installed (local or Docker)
Run the install command in chat: /install data-bricks
After installation, invoke the skill by name or use /data-bricks
Provide required inputs per the skill's parameter spec and get structured output

Version History

v1.0.0

Databricks Skill 1.0.0 released: - 全新介绍 Databricks 的历史、商业模式与竞争格局 - 梳理关键时间线与 Lakehouse 架构演进 - 分析产品护城河及开源生态优势 - 提供 2024 年最新估值与关键业务数据 - 汇总公司与技术相关的有趣事实

Metadata

Slug data-bricks

Version 1.0.0

License MIT-0

All-time Installs 0

Active Installs 0

Total Versions 1

Frequently Asked Questions

What is Data Bricks?

Databricks offers a unified cloud platform built on Apache Spark for big data processing, Lakehouse architecture, and ML lifecycle management. It is an AI Agent Skill for Claude Code / OpenClaw, with 33 downloads so far.

How do I install Data Bricks?

Run "/install data-bricks" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Data Bricks free?

Yes, Data Bricks is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Data Bricks support?

Data Bricks is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Data Bricks?

It is built and maintained by hanxueyuan (@hanxueyuan); the current version is v1.0.0.

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