Databricks
Founded Year
2013Stage
Secondary Market - II | AliveTotal Raised
$4.002BRevenue
$0000Mosaic Score The Mosaic Score is an algorithm that measures the overall financial health and market potential of private companies.
-26 points in the past 30 days
About Databricks
Databricks is a data and AI company that specializes in unifying data, analytics, and artificial intelligence across various industries. The company offers a platform that facilitates data management, governance, real-time analytics, and the building and deployment of machine learning and AI applications. Databricks serves sectors such as financial services, healthcare, public sector, retail, and manufacturing, among others. It was founded in 2013 and is based in San Francisco, California.
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ESPs containing Databricks
The ESP matrix leverages data and analyst insight to identify and rank leading companies in a given technology landscape.
The discrete manufacturing analytics (factory analytics) market helps manufacturing companies (including automotive, aerospace, retail, and consumer goods) improve operations through advanced analytics and artificial intelligence. Many manufacturing companies still rely on outdated methods to manage their operations, leading to delayed shipments, unplanned overtime, and decreased profitability. Th…
Databricks named as Leader among 15 other companies, including DataRobot, AVEVA, and SparkCognition.
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Research containing Databricks
Get data-driven expert analysis from the CB Insights Intelligence Unit.
CB Insights Intelligence Analysts have mentioned Databricks in 20 CB Insights research briefs, most recently on Jun 20, 2024.
May 8, 2024 report
Book of Scouting Reports: The most promising AI companies in the world
Mar 5, 2024 report
The top 20 venture investors in North America
Feb 27, 2024
The generative AI boom in 6 charts
Feb 20, 2024
The hardware security market mapExpert Collections containing Databricks
Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.
Databricks is included in 6 Expert Collections, including Unicorns- Billion Dollar Startups.
Unicorns- Billion Dollar Startups
1,244 items
Tech IPO Pipeline
825 items
Artificial Intelligence
14,769 items
Companies developing artificial intelligence solutions, including cross-industry applications, industry-specific products, and AI infrastructure solutions.
Advanced Manufacturing
6,359 items
Companies in the advanced manufacturing tech space, including companies focusing on technologies across R&D, mass production, or sustainability
Generative AI
863 items
Companies working on generative AI applications and infrastructure.
AI 100 (2024)
100 items
Databricks Patents
Databricks has filed 71 patents.
The 3 most popular patent topics include:
- data management
- diagrams
- database management systems
Application Date | Grant Date | Title | Related Topics | Status |
|---|---|---|---|---|
1/6/2023 | 9/3/2024 | Grant |
Application Date | 1/6/2023 |
|---|---|
Grant Date | 9/3/2024 |
Title | |
Related Topics | |
Status | Grant |
Latest Databricks News
Sep 20, 2024
On Sep 20, 2024 Revolent , a Tenth Revolution Group company and a Databricks Consulting Partner, has launched a Databricks Data Engineer talent program, designed in close collaboration with Databricks, the Data and AI company. The program will equip the consultants (or ‘Revols’) with the Lakehouse Fundamentals badge, Apache Spark™ Developer, and Data Engineer Associate certifications. They will also gain deployment-ready skills with tools like Airbyte, Airflow, FiveTran, and Tableau. These skills include data modeling, scripting, visualization, and data engineering patterns, ensuring that the Data Engineers are fully prepared for deployment. “We have worked closely with Revolent to develop a comprehensive Data Engineer training program that will create a robust talent pipeline to support the industry. I am excited about Revolent’s vision to create a Data and AI-ready talent for all customers,” commented Rochana Golani, VP of Learning and Enablement at Databricks. With over 16,000 open roles for Data Engineers across the US and EMEA, there’s a global talent shortage of qualified data specialists. Having trained more than 1,000 learners across 20+ countries since its launch in 2020, Revolent will draw on its proven track record to cross-train experienced tech professionals as certified, delivery-ready Databricks Data Engineers, supporting Databricks’ ambitious growth projections. “Our program goes well beyond certifications—the Revols spend at least 50% of their training time on hands-on application and real-life projects, ensuring they can put their new skills into practice as soon as they start their placement with our clients,” commented Ian Clark, CEO of Revolent. Once the work placement has commenced, customers will be able to choose whether their new hires develop advanced capabilities in Data Engineering, generative AI, or Machine Learning, ensuring the Revols’ long-term success in their new careers.
Databricks Frequently Asked Questions (FAQ)
When was Databricks founded?
Databricks was founded in 2013.
Where is Databricks's headquarters?
Databricks's headquarters is located at 160 Spear Street, San Francisco.
What is Databricks's latest funding round?
Databricks's latest funding round is Secondary Market - II.
How much did Databricks raise?
Databricks raised a total of $4.002B.
Who are the investors of Databricks?
Investors of Databricks include Nancy Pelosi, Microsoft, Amazon Web Services, CapitalG, Sanabil Investments and 40 more.
Who are Databricks's competitors?
Competitors of Databricks include KNIME, Chalk, Talend, DataRobot, Dataiku and 7 more.
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Compare Databricks to Competitors
DataRobot specializes in artificial intelligence, offering an open, end-to-end AI lifecycle platform within the technology sector. The company provides solutions for scaling AI applications, monitoring and governing AI models, and driving business value through predictive and generative AI. DataRobot serves various industries, including healthcare, manufacturing, retail, and financial services, with its AI platform. It was founded in 2012 and is based in Boston, Massachusetts.
Amazon Web Services (AWS) specializes in cloud computing services, offering scalable and secure information technology infrastructure solutions across various industries. It provides compute power, database storage, content delivery, and other functionalities to support the development of sophisticated applications. AWS caters to a diverse clientele, including sectors such as financial services, healthcare, telecommunications, and gaming, by providing industry-specific solutions and technologies like analytics, artificial intelligence, and serverless computing. It was founded in 2006 and is based in Duvall, Washington.
RNV Analytics operates as an artificial intelligence (AI) company. It helps companies by extracting insights from data and streamlining through mathematical models that convert, engage, and retain more customers. It also analyzes, measures, and improves the customer experience with machine learning. It provides companies with the tools and analyses to discover customer insights and apply them to strategic goals. It was founded in 2020 and is based in Istanbul, Turkey.
InData Labs operates as a data science firm and provides artificial intelligence (AI) powered solutions. The company offers consulting and software development services such as predictive analytics, natural language processing, and computer vision. It primarily serves sectors such as electronic commerce, marketing and advertising, logistics and supply chain, gaming and entertainment, digital health, and fintech. The company was founded in 2014 and is based in Miami, Florida.
H2O.ai delivers an advanced artificial intelligence (AI) cloud platform. It helps to solve complex business problems and instigate the discovery of new ideas. The company makes machine learning (ML) accessible to corporations and allows business users to extract key information from data with deployments in financial services, government, health, insurance, manufacturing, and other industries. It was formerly known as 0xdata. The company was founded in 2011 and is based in Mountain View, California.
SAS focuses on artificial intelligence (AI) and analytics and operates within the technology sector. The company provides services that enable customers to analyze and interpret data more efficiently and productively. The primary market for SAS's services is businesses across various sectors that require data analysis and interpretation. It was founded in 1976 and is based in Cary, North Carolina.
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