
Databricks
Accelerates innovation by unifying analytics across data science, data engineering, and the business.
Date | Investors | Amount | Round |
---|---|---|---|
- | N/A | - | |
* | N/A | Spinout | |
* | $14.0m | Series A | |
* | $33.0m | Series B | |
* | $60.0m | Series C | |
* | $140m | Series D | |
* | $250m Valuation: $2.8b | Series E | |
* | $400m Valuation: $6.2b | Series F | |
* | $1.0b Valuation: $28.0b | Series G | |
* | $1.6b Valuation: $38.0b | Series H | |
* | $500m Valuation: $43.0b | Growth Equity VC | |
* | $10.0b Valuation: $62.0b | Growth Equity VC | |
* | $5.3b | Debt | |
Total Funding | $14.0b |


USD | 2018 | 2021 | 2022 | 2023 | 2024 | 2025 |
---|---|---|---|---|---|---|
Revenues | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
% growth | - | - | 39 % | 48 % | 59 % | 46 % |
EBITDA | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
Profit | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
EV | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
R&D budget | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
Source: Company filings or news article, Equity research estimates
Related Content
Databricks is a leading data and AI company that provides a unified platform combining the capabilities of data lakes and data warehouses, known as a lakehouse architecture. This platform enables organizations to manage, analyze, and derive insights from their data efficiently. Databricks serves a wide range of clients, including data engineers, data scientists, and business analysts across various industries such as finance, healthcare, and technology. The company operates in the data management and analytics market, offering solutions that streamline data ingestion, management, and analysis. Databricks' business model revolves around a subscription-based service, where clients pay for access to the platform and its features. The company generates revenue through these subscriptions, as well as through professional services and support. Key features of the Databricks platform include automated ETL (Extract, Transform, Load) processes, secure data sharing, and high-performance analytics. The platform also supports machine learning and AI workloads, enabling users to build and deploy models at scale.
Keywords: data lakehouse, analytics, AI, data management, ETL, machine learning, data sharing, high-performance, subscription-based, data platform.
Tech stack
Investments by Databricks
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