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Databricks - Company Profile

All the data and insights you need on Databricks in one report.

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Databricks is a pioneering company at the intersection of data and artificial intelligence (AI), specializing in unified data analytics and machine learning. Founded by the creators of Apache Spark, Databricks simplifies the process of processing big data and enhances the efficiency of AI development by providing a collaborative environment for data engineers and scientists. With its innovative platform, Databricks enables organizations to unlock the value of their data and drive significant business growth.

Visual Insights

Databricks Revenue Growth

Databricks Market Distribution

Company Overview

Databricks has consistently grown by attracting high-profile customers across various industries, including finance, healthcare, and technology, covering a wide range of solutions for data engineering, data science, and machine learning.

Metric Value
Founded 2013
Headquarters San Francisco, California, USA
Employees 1,200+
Funding $3 billion+
Customers Over 5,000 global customers
Executive Team

The executive team at Databricks combines expertise in technology, finance, and operations, guiding the company to pave the way for cutting-edge data analytics solutions.

Name Position
Ali Ghodsi Co-Founder and CEO
Aneesh Chopra CFO
Jean-François Puget VP of AI and Machine Learning
Locations

Databricks operates with a global presence, ensuring support and services are readily available to its international customer base.

Location Type Location
Headquarters San Francisco, California, USA
Global Offices Various locations across Europe and Asia
Business Segments

Databricks’ distinct business segments work seamlessly to provide a comprehensive solution for organizations seeking to leverage big data and AI.

Segment
Unified Data Analytics Platform Offers end-to-end data management and AI tools
Machine Learning Solutions Facilitates ML model training and deployment
Collaboration Tools Enhances teamwork among data professionals
Competitive Landscape

Databricks competes with several major players in the data analytics field, focusing on differentiating itself through its collaborative capabilities and ease of use.

Competitor Strengths
Snowflake Strong data warehousing capabilities
Google Cloud Integration with cloud services and tools
Microsoft Azure Robust ecosystem and enterprise reach
Growth Opportunities

The growing demand for data-driven insights and machine learning presents substantial growth opportunities for Databricks in various markets.

Opportunity Details
Increased AI Adoption Businesses increasingly leverage AI for decision-making
Expansion into Emerging Markets Growth in data usage in Asia and Africa
Innovating New Tools Continuous development of user-friendly software and analytics tools