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Industries
Data & Analytics
Enterprise Software
AI & Machine Learning
Company Size
10,001+
Company Stage
Debt Financing
Total Funding
$19.3B
Headquarters
San Francisco, California
Founded
2013
Databricks provides a platform that combines the features of data lakes and data warehouses, referred to as lakehouse architecture. This platform allows organizations to efficiently manage, analyze, and gain insights from their data. It caters to a variety of users, including data engineers, data scientists, and business analysts in sectors like finance, healthcare, and technology. Databricks simplifies data processes through automated ETL (Extract, Transform, Load), secure data sharing, and high-performance analytics. Additionally, it supports machine learning and AI tasks, enabling users to create and implement models on a large scale. Unlike many competitors, Databricks operates on a subscription model, generating revenue through platform access and professional services, which allows for continuous updates and support for its users. The company's goal is to empower organizations to leverage their data effectively for better decision-making and insights.
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Total Funding
$19297M
Above
Industry Average
Funded Over
10 Rounds
Extended health care including dental and vision
Life/AD&D and disability coverage
Equity awards
Flexible Vacation
Gym reimbursement
Annual personal development fund
Work headphones reimbursement
Employee Assistance Program (EAP)
Business travel accident insurance
Paid Parental Leave
Databricks Ventures has invested in Anvilogic, a next-gen Security Operations Center (SOC) platform, to enhance detection engineering and triage. Anvilogic allows security teams to move beyond traditional SIEMs, offering flexibility and faster response times through scalable data lakehouses. The integration with Databricks enables detection engineering on lakehouse data. Anvilogic has been named Databricks’ Growth Built on Partner of the Year, marking a deeper partnership to modernize detection pipelines.
Databricks announced the acquisition of Neon, a company focused on serverless Postgres solutions, on May 14. Neon's co-founding team, known for their expertise in rearchitecting Postgres databases to achieve true storage and compute separation, will join Databricks. This move aims to provide developers with production-grade serverless Postgres services in the AI-native era.
Theom, an AI-native Data Operations Center platform, has raised $20 million in a Series A funding round led by Wing VC, with participation from Sentinel One, Snowflake, and Databricks. The funding will enhance product innovation, expand the team, and improve go-to-market strategies. Theom addresses data governance and security challenges in AI environments by providing real-time data insights and prioritization, positioning data as the new security boundary.
According to PitchBook, AI investment has driven U.S. startup funding to its highest in three years, with over $30 billion raised this season and $50 billion ongoing. U.S. startups' Q4 2024 funding hit $80 billion, the highest since 2021. OpenAI is in talks with SoftBank to raise $40 billion at a $260 billion valuation, potentially the largest ever, surpassing Databricks' $10 billion. In 2024, U.S. AI startups raised a record $97 billion, 46.4% of total U.S. startup funding.
Databricks announced the completion of a $10 billion Series J funding round and a $5.25 billion debt financing, valuing the company at $62 billion. Key investors include QIA, Temasek, and Meta. The funds will be used for AI product development, acquisitions, and global expansion. The credit facility, led by JPMorgan Chase, includes a $2.5 billion revolver and a $2.75 billion term loan. CEO Ali Ghodsi highlighted the importance of data intelligence in leveraging generative AI.
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Industries
Data & Analytics
Enterprise Software
AI & Machine Learning
Company Size
10,001+
Company Stage
Debt Financing
Total Funding
$19.3B
Headquarters
San Francisco, California
Founded
2013
Find jobs on Simplify and start your career today