Data Intelligence platform developer Collibra has raised $250 million in a Series G round of financing that more than doubles the company’s valuation to $5.25 billion.
Collibra plans to use the latest capital infusion to advance its product development roadmap, continue its global expansion and expand its partner ecosystem.
The funding round comes as Collibra says it has experienced “rapid growth and customer traction” in 2021, including international expansion in key verticals such as financial services, government, manufacturing and healthcare.
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“We are seeing overwhelming demand for our platform, and the interest from the investor community further validates our approach to helping our customers drive value from their own data,” said Collibra founder and CEO Felix Van de Maele, in a statement. “We are the only company in the industry that provides a single, fully integrated cloud-native platform to enable customers to accelerate their digital transformation journey.”
Sequoia Capital Global Equities and Sofina led the latest funding round with participation from new investor Tiger Global Management and existing investors Battery Ventures, Capital G, Dawn Capital, Durable Capital Partners LP, ICONIQ Capital and Index Ventures.
Collibra said it will primarily apply the new funding to advance the Collibra Data Intelligence Cloud development roadmap; expand “the breadth and depth” of the company’s ecosystem of solution provider, service and technology partners; and accelerate growth of the company’s global workforce by hiring in such key areas as engineering, sales, product management and customer success.
Collibra, originally founded in Belgium in 2008 and today based in New York, raised $112.5 million in April 2020 in a funding round that put the company’s valuation then at $2.35 billion.
Collibra has expanded beyond its data catalog and data governance technology roots to offer the Collibra Data Intelligence Cloud with capabilities that span data catalog, data governance, data privacy, data quality and observability, and data lineage. The SaaS-platform uses open APIs and graph metadata analytics technology to connect data sources, business applications, and data science and business intelligence tools in a central location.