# Databricks

**Source:** https://www.startuphub.ai/startups/databricks
**Profile type:** Startup

> A unified data analytics and AI platform built on the lakehouse architecture.

## About

Databricks offers a cloud-based platform that unifies data engineering, data science, and machine learning. It is built on the data lakehouse architecture, combining the best features of data lakes and data warehouses to manage and analyze structured and unstructured data for business analytics and AI workloads. Their platform is used by over 15,000 organizations worldwide, including over 60% of the Fortune 500.

## Key facts

- **Slug:** databricks
- **Website:** https://www.databricks.com/
- **Location:** San Francisco, United States
- **Founded:** 2013-01-01
- **Employees:** 15082
- **Operating status:** Active
- **Total funding:** $36.7B
- **Sectors / tags:** Data Analytics, Machine Learning, Cloud Computing, Data Platform, Analytics Platform, AI Infrastructure, Big Data, Data Warehousing, Data Engineering, Business Intelligence, Open Source, Data Analytics Platform, Cloud Data Platform, Data Warehousing & Analytics, MLOps, Cloud Infrastructure, Enterprise Software, AI Foundation & Compute, AI Tools & Apps, Foundation Model, Large Language Model, Agentic AI, DataOps, Data & AI Platform
- **Social:**
  - LinkedIn: https://www.linkedin.com/company/databricks/
  - Twitter: https://x.com/databricks
  - GitHub: https://github.com/newrelic
  - Facebook: https://www.facebook.com/pages

## Frequently asked

### What does Databricks do?

Databricks offers a cloud-based platform that unifies data engineering, data science, and machine learning. It is built on the data lakehouse architecture, combining the best features of data lakes and data warehouses to manage and analyze structured and unstructured data for business analytics and AI workloads. Their platform is used by over 15,000 organizations worldwide, including over 60% of the Fortune 500.

### What is Databricks's revenue?

StartupHub estimates Databricks's annual revenue at $5.3B (range $2.7B to $9.4B, 65% confidence), based on comparable companies in the sector.

### What is Databricks's valuation?

StartupHub estimates Databricks's effective valuation at $30.8B (range $15.5B to $40.7B, 56% confidence), based on comparable companies in the sector.

### How much funding has Databricks raised?

Databricks has raised a total of $36.7B in funding. The most recent round on record is Strategic Financing.

### Where is Databricks headquartered?

Databricks is headquartered in San Francisco, United States.

### When was Databricks founded?

Databricks was founded in 2013.

### What industry does Databricks operate in?

Databricks operates in Data Analytics, Machine Learning, Cloud Computing, Data Platform, Analytics Platform, AI Infrastructure.

### How many employees does Databricks have?

Databricks has approximately 15082 people on record.

## JSON-LD

Structured data aligned with this page's `<script type="application/ld+json">` (included when the profile is server-rendered).

```json
{
  "@context": "https://schema.org",
  "@graph": [
    {
      "@type": "BreadcrumbList",
      "itemListElement": [
        {
          "@type": "ListItem",
          "position": 1,
          "name": "Home",
          "item": "https://www.startuphub.ai"
        },
        {
          "@type": "ListItem",
          "position": 2,
          "name": "Startups",
          "item": "https://www.startuphub.ai/startups"
        },
        {
          "@type": "ListItem",
          "position": 3,
          "name": "Databricks",
          "item": "https://www.startuphub.ai/startups/databricks"
        }
      ]
    },
    {
      "@type": "ProfilePage",
      "@id": "https://www.startuphub.ai/startups/databricks#webpage",
      "url": "https://www.startuphub.ai/startups/databricks",
      "name": "Databricks - AI Startup Profile | StartupHub.ai",
      "description": "This is the official profile of Databricks. Databricks is a startup founded in 2013, operating in Data Analytics and Machine Learning. A unified data analytics and AI platform built on the lakehouse architecture. Headquartered in San Francisco, United States. The company has approximately 15082 employees.",
      "dateModified": "2026-08-12T09:47:28.936+00:00",
      "mainEntity": {
        "@id": "https://www.startuphub.ai/startups/databricks#organization"
      }
    },
    {
      "@type": "Organization",
      "@id": "https://www.startuphub.ai/startups/databricks#organization",
      "name": "Databricks",
      "url": "https://www.databricks.com/",
      "logo": "https://cdn.startuphub.ai/storage/v1/object/public/entity-images/logos/0e4a206b-75ec-481b-9be6-c026fe5e632d-square.webp",
      "image": "https://cdn.startuphub.ai/storage/v1/object/public/entity-images/logos/0e4a206b-75ec-481b-9be6-c026fe5e632d-square.webp",
      "description": "This is the official profile of Databricks. Databricks is a startup founded in 2013, operating in Data Analytics and Machine Learning. A unified data analytics and AI platform built on the lakehouse architecture. Headquartered in San Francisco, United States. The company has approximately 15082 employees.",
      "sameAs": [
        "https://www.linkedin.com/company/databricks/",
        "https://x.com/databricks",
        "https://github.com/newrelic",
        "https://www.facebook.com/pages",
        "https://www.startuphub.ai/startups/databricks"
      ],
      "foundingDate": "2013-01-01",
      "numberOfEmployees": {
        "@type": "QuantitativeValue",
        "value": 15082
      },
      "address": {
        "@type": "PostalAddress",
        "addressLocality": "San Francisco",
        "addressCountry": "US"
      },
      "knowsAbout": [
        "Data Analytics",
        "Machine Learning",
        "Cloud Computing",
        "Data Platform",
        "Analytics Platform",
        "AI Infrastructure",
        "Big Data",
        "Data Warehousing",
        "Data Engineering",
        "Business Intelligence",
        "Open Source",
        "Data Analytics Platform",
        "Cloud Data Platform",
        "Data Warehousing & Analytics",
        "MLOps",
        "Cloud Infrastructure",
        "Enterprise Software",
        "AI Foundation & Compute",
        "AI Tools & Apps",
        "Foundation Model",
        "Large Language Model",
        "Agentic AI",
        "DataOps",
        "Data & AI Platform"
      ]
    }
  ]
}
```