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Databricks Company
by
hanxueyuan
· GitHub ↗
· v1.0.0
· MIT-0
67
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install databricks-company
Description
Databricks is a unified data and AI platform by Apache Spark creators, offering Lakehouse architecture, Delta Lake, and AI model training capabilities.
README (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
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install databricks-company - After installation, invoke the skill by name or use
/databricks-company - Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Frequently Asked Questions
What is Databricks Company?
Databricks is a unified data and AI platform by Apache Spark creators, offering Lakehouse architecture, Delta Lake, and AI model training capabilities. It is an AI Agent Skill for Claude Code / OpenClaw, with 67 downloads so far.
How do I install Databricks Company?
Run "/install databricks-company" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Databricks Company free?
Yes, Databricks Company is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Databricks Company support?
Databricks Company is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Databricks Company?
It is built and maintained by hanxueyuan (@hanxueyuan); the current version is v1.0.0.
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