Qbeast Raises $7.6M Seed Round to Revolutionize Indexing for Open Data Lakehouse Architectures

Barcelona Supercomputing Center spinout secures Peak XV backing to fast-track the world’s first open, multi-dimensional indexing layer for Delta Lake, Apache Iceberg, and Apache Hudi.

Barcelona & Bangalore, August 4, 2025 — Qbeast, the data optimization platform spun out from the Barcelona Supercomputing Center, has raised $7.6 million in seed funding to enhance how enterprises manage large-scale analytics using open data formats. The round was led by Peak XV’s Surge (formerly Sequoia Capital India), with participation from HWK Tech Investment and Elaia Partners.

As data volumes surge and compute costs balloon, platforms like Delta Lake, Apache Iceberg, and Apache Hudi face steep inefficiencies—up to 90% of compute resources are wasted on scanning irrelevant data. Qbeast tackles this with a plug-and-play multi-dimensional indexing layer that integrates directly with existing tables and compute engines such as Spark, Snowflake, DuckDB, Databricks, and Polars. By intelligently prioritizing relevant data across time, location, and other attributes, Qbeast delivers 2–6x faster queries and up to 70% lower compute spend in production environments.

The fresh capital will fuel:

• Expansion of engineering and product teams
• Development of a Bangalore-based innovation hub
• Broader support across analytics, AI, and BI use cases
• Advanced features like auto-tuning and adaptive indexing

Former AWS and Azure veteran Srikanth Satya joins as CEO to spearhead Qbeast’s global growth. “We built Qbeast to make high-performance analytics simple, open, and cost-effective—free from vendor lock-in,” he said.

“Today’s data lakes are massive but inefficient. Qbeast transforms them into intelligent infrastructure with native speed,” said Flavio Junqueira, CTO and co-creator of Apache ZooKeeper and BookKeeper.

Backed by foundational research from Cesare Cugnasco (CSO) and Paola Pardo, Qbeast’s architecture empowers teams across finance, healthcare, and retail without forcing them to change their tech stack.

“Qbeast’s indexing model is a missing piece in the open data ecosystem—it solves a real pain point at scale,” noted Juan Santamaría, CEO, HWK Tech Investment.

“This isn’t just about performance—it’s about democratizing access to efficient data infrastructure,” added Sébastien Lefebvre, Partner at Elaia.

Looking ahead, Qbeast is focused on becoming the de facto indexing layer for open Lakehouse architectures—unlocking data-driven innovation with speed, simplicity, and control.