Company Overview
About SQream
SQream (also known as SQream Technologies) is a Tel Aviv-based data analytics company founded in 2010 that has built a SQL database and analytics platform powered by NVIDIA GPU acceleration. The company''s core premise is that traditional CPU-based data warehouses are fundamentally limited in their ability to process the massive dataset sizes required for modern AI, machine learning, and analytics workloads — and that GPU parallelism can deliver orders-of-magnitude improvements in query performance, data ingestion speed, and cost-efficiency at scale.
Business Model & Competitive Advantage
SQream raised $45M in a Series C round in September 2023, bringing total funding to $45M. In April 2025, co-founder Ami Gal stepped down as CEO after 14 years, transitioning to a board role, with Liam Galin appointed as the new Chief Executive Officer. The company employs approximately 91 people. SQream showcased its GPU analytics platform at NVIDIA GTC 2025, demonstrating real-world performance improvements for enterprise AI and analytics workloads. The company has targeted industries including finance, telecommunications, healthcare, and manufacturing — sectors that generate high-volume structured data requiring complex analytical queries at scale.
Competitive Landscape 2025–2026
SQream''s SQreamDB product operates as a SQL analytics engine that can be deployed on-premises or in cloud environments, leveraging NVIDIA GPU infrastructure to accelerate both historical analytics and predictive AI workloads. Its 2025 strategic roadmap includes deeper integration with the NVIDIA ecosystem and vertical-specific tooling. SQream competes with GPU-accelerated database players like Kinetica and OmniSci (now HEAVY.AI), as well as traditional MPP data warehouses like Teradata, Greenplum, and cloud warehouses like Snowflake and BigQuery for specific high-volume use cases where GPU acceleration provides measurable performance or cost advantages.
Key Differentiators
Strong Challenger
SQream is an established challenger with significant market presence and competitive offerings in Data & Analytics.
Frequently Asked Questions
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