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DateInvestorsAmountRound
-

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

Financials

Estimates*

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Revenues, earnings & profits over time
USD201820212022202320242025
Revenues000000000000000000000000
% growth--39 %48 %59 %46 %
EBITDA000000000000000000000000
Profit000000000000000000000000
EV000000000000000000000000
EV / revenue00.0x00.0x00.0x00.0x00.0x00.0x
EV / EBITDA00.0x00.0x00.0x00.0x00.0x00.0x
R&D budget000000000000000000000000

Source: Company filings or news article, Equity research estimates

More about Databricks
Made with AI
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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.

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Investments analysisEdit

Investments by Databricks

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