Starburst, the data platform for apps and AI, announced it has been recognized as a Leader and Fast Mover in the newly released 2025 GigaOm Radar for Data Lakes and Lakehouses report. This marks the third consecutive year that Starburst has earned a leadership position in this influential industry benchmark.
The GigaOm report highlights Starburst’s dominance across key evaluation categories, including:
- Product capabilities: Recognition for deep integration across modern cloud ecosystems and robust support for data federation and hybrid architectures.
- Market execution: Acknowledgement of Starburst’s momentum and continued adoption as a distributed SQL engine built on open standards.
- Innovation trajectory: Commended roadmap execution, leadership in the open lakehouse movement, and readiness for future AI-driven analytics workloads.
“As organizations seek agile, scalable data platforms that power both BI and AI, Starburst enables query-in-place architectures that eliminate data silos and unlock real-time insights,” said Justin Borgman, Co-Founder and CEO of Starburst. “Our recognition as a Leader and Fast Mover by GigaOm validates our mission to deliver uncompromising performance, openness, and innovation.”
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The GigaOm Radar evaluates vendors on a combination of feature richness, usability, performance, market strategy and innovation roadmap. Positioning Starburst in the Leader and Fast Mover affirms its ability to deliver high-performance federated querying and scalability, support for diverse open table and file formats, hybrid and multi-cloud deployments, and a consolidated and governed data stack that supports analytics and AI workloads.
“Starburst received a high score in the business criterion of AI readiness. The nature of AI readiness encompasses AI/ML and generative AI and refers to capabilities and frameworks in data lake/lakehouse offerings that equip customers to leverage their data to implement and improve AI across their organization. Starburst‘s high score in this business criterion reflects a number of its platform’s advanced capabilities, such as its strong data cataloging and data management features, which help organizations curate, organize, and improve their data for all their workloads, including AI-related ones,” said Andrew Brust, Lead Analyst at GigaOm.
Source: PRNewswire