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August 13.2025
2 Minutes Read

How Qbeast’s €6.5 Million Funding Will Revolutionize Open Data Analytics

Confident man in blue suit smiling, Open Data Platforms Scaling Efficiently.

Qbeast Secures Funds to Drive Data Innovation

Barcelona-based startup Qbeast has successfully raised €6.5 million in Seed funding to push the frontiers of open data platforms. This influx of capital, primarily backed by Peak XV’s Surge programme, alongside HWK Tech Investment and Elaia Partners, marks a significant leap as the company aims to enhance open Lakehouse analytics.

Unlocking the Power of Data

Data analytics is evolving rapidly, and Qbeast is positioning itself at the forefront of this transformation. CEO Srikanth Satya emphasizes the need for data teams to escape the constraints of proprietary systems. “Data teams shouldn’t have to choose between speed, cost, and openness,” he stated. This ethos is central to Qbeast’s mission: to enable organizations to harness their data efficiently without compromising performance.

Innovative Technology That Delivers

Founded in 2020, Qbeast integrates an indexing layer into existing open Lakehouse models such as Delta Lake and Apache Iceberg. This multi-dimensional indexing technique allows users to quickly access relevant data based on various attributes, significantly speeding up query times—reportedly by up to 6 times—and reducing compute costs by up to 70%.

The Future of Data Analytics

With the latest funding, Qbeast is not only focusing on product enhancement but is also set for international expansion under Satya’s leadership. The emphasis is on addressing hidden computing costs associated with data layouts in Lakehouse architectures, an often overlooked aspect of data management.

As financial institutions increasingly rely on data-driven decisions, understanding the mechanisms that streamline data analytics is essential. Qbeast stands at the crossroads of innovation, promising a future where data management is more efficient and cost-effective.

Tech & Innovation in Finance

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