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Databricks Company

Name: Databricks Company
Author: hanxueyuan

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

cross-platform ✓ 安全检测通过

总下载

当前安装

版本数

在 OpenClaw 中安装

/install databricks-company

功能描述

Databricks is a unified data and AI platform by Apache Spark creators, offering Lakehouse architecture, Delta Lake, and AI model training capabilities.

使用说明 (SKILL.md)

Overview

Databricks — the unified data and AI platform founded by the creators of Apache Spark, valued at $43B as a private company.

When to Load This Skill

User asks about Databricks history, Apache Spark, or data/AI platforms
Need analysis of Databricks vs. Snowflake competition or Lakehouse architecture
Questions about MosaicML acquisition, DBRX model, or the AI data infrastructure market

Historical Timeline

2013: Ali Ghodsi, Matei Zaharia (Spark creator), Ion Stoica found Databricks in Berkeley
2013: Open-sources Apache Spark — becomes the dominant big data processing engine
2019: Introduces Delta Lake — open-source storage layer bringing ACID transactions to data lakes
2021: Revenue passes $500M; valued at $38B
2023: Acquires MosaicML ($1.3B) — enters generative AI model training
2023: Introduces Lakehouse architecture — unifies data warehouse and data lake
2024: Launches DBRX (open-source LLM); valued at $43B; revenue ~$2B+

Business Model

Platform-as-a-Service: consumption-based pricing on Databricks Runtime (compute), storage (Delta Lake tables), and AI/ML services. Unity Catalog provides governance. Expanding from data engineering into BI, AI/ML, and governance.

Competitive Moat

Apache Spark originators: deep technical authority and community influence
Delta Lake ecosystem: open-source standard that competitors must support
Lakehouse architecture: unifies data engineering, analytics, and AI — one platform instead of multiple tools
MosaicML acquisition: vertical integration from data infrastructure to model training
Open-source strategy: Spark, Delta Lake, MLflow create developer lock-in and community advocacy

Key Data

Valuation: $43B (private, 2024) | Revenue: ~$2B+ (2024) | Customers: 10,000+ | Spark users: 1M+ developers | Employees: ~7,000+

Interesting Facts

Apache Spark was originally a class project at UC Berkeley's AMPLab — the paper was rejected from two conferences before it became the most popular big data framework
Databricks is named after the fictional 'databrick' unit the founders jokingly used to measure Spark cluster processing capacity

安全使用建议

This skill appears to be a low-risk, read-only informational helper about Databricks. It does not request credentials or install software. Before relying on factual claims (valuation, revenue, acquisitions, dates), verify them against authoritative sources because the SKILL.md may become out of date. If you need the agent to perform actions (API calls, cluster management, or access cloud resources), choose a dedicated Databricks integration that explicitly requests and documents only the required credentials.

功能分析

Type: OpenClaw Skill Name: databricks-company Version: 1.0.0 The skill bundle contains only informational documentation and metadata regarding Databricks. There is no executable code, no network activity, and no instructions that could lead to prompt injection or unauthorized actions. The content is purely descriptive and aligns with its stated purpose.

能力评估

✓ Purpose & Capability

The name and description are informational about Databricks and the SKILL.md contains historical, business, and usage guidance consistent with that purpose. There are no unexpected permissions, binaries, or credentials requested.

✓ Instruction Scope

SKILL.md is purely content and guidance (overview, timeline, when to load). It does not instruct the agent to read local files, access environment variables, call external endpoints, or transmit data outside the platform.

✓ Install Mechanism

No install specification or code files are present; this is instruction-only, which minimizes disk/execution risk.

✓ Credentials

No environment variables, credentials, or config paths are required. Nothing requests secrets or unrelated service access.

✓ Persistence & Privilege

Flags are default (always: false, user-invocable: true, disable-model-invocation: false). The skill does not request persistent system presence or modify other skills or system-wide config.

如何使用

确保已安装 OpenClaw（本地或 Docker 部署）
在对话框中输入安装命令：/install databricks-company
安装完成后，直接呼叫该 Skill 的名称或使用 /databricks-company 触发
根据 Skill 的参数说明提供必要输入，即可获得结构化输出

版本历史

v1.0.0

- Adds historical overview of Databricks, including key milestones and acquisitions. - Outlines when to load the skill based on user questions about Databricks, Spark, and related technologies. - Summarizes Databricks' business model, platform features, and competitive advantages. - Includes key company metrics for valuation, revenue, customers, and employees. - Provides interesting background facts about Apache Spark and the Databricks name.

元数据

Slug databricks-company

版本 1.0.0

许可证 MIT-0

累计安装 0

当前安装数 0

历史版本数 1

常见问题