Here’s a breakdown of Databricks’ funding history:

Major Funding Rounds

Databricks, the company behind the popular Lakehouse platform, has had a significant funding history to fuel its growth. Below are the key rounds:

• Series A (2013): $14 million
• Series B (2014): $33 million
• Series C (2016): $60 million
• Series D (2017): $140 million
• Series E (2019): $250 million (Valuation: $2.75 billion)
• Series F (2019): $400 million (Valuation: $6.2 billion)
• Series G (2021): $1 billion (Valuation: $28 billion)
• Series H (2021): $1.6 billion (Valuation: $38 billion)
• Series I (2023): $500+ million (Valuation: $43 billion)

Investors

Databricks has attracted top-tier investors, including:

• Andreessen Horowitz
• Microsoft
• Amazon Web Services (AWS)
• New Enterprise Associates (NEA)
• Google Ventures
• Tiger Global Management
• T. Rowe Price
• Baillie Gifford
• Counterpoint Global (Morgan Stanley)

Use of Funds

Databricks uses its funding for:

• Research & Development: Continued innovation of the Databricks Lakehouse Platform and expansion of its capabilities.
• Global Expansion: Establishing a stronger foothold in international markets.
• Strategic Acquisitions: Acquiring companies to enhance its platform and offerings.
• Building a Partner Ecosystem: Investing in partnerships with other technology providers.
• Sales & Marketing: Fueling outreach and customer acquisition efforts.

Why the High Valuations?

Databricks’ high valuations reflect:

• The Lakehouse Market: The growing popularity and demand for lakehouse architectures, which combine the best of data warehouses and data lakes.
• Databricks’ Leadership: Databricks is seen as a leader in this space, with strong technology and a rapidly growing customer base.
• AI and ML Adoption: The rise of AI and machine learning drives the need for platforms like Databricks, which simplify data management and model development.