SQream vs Databricks
Side-by-side comparison of AI visibility scores, market position, and capabilities
SQream uses NVIDIA GPU acceleration for SQL analytics on massive datasets; raised $45M Series C (Sep 2023); new CEO Liam Galin appointed Apr 2025; showcased GPU analytics at NVIDIA GTC 2025; serves finance, telecom, and healthcare.
About
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.
$4.8B revenue run-rate; 55% YoY growth; $134B valuation (Series L). Mosaic AI for enterprise LLM fine-tuning and inference; Unity Catalog for data governance. DBRX open-source model; every major enterprise AI deployment runs on the lakehouse.
About
Databricks was founded in 2013 by the original creators of Apache Spark — Ali Ghodsi, Matei Zaharia, and five other UC Berkeley researchers — to unify data engineering, analytics, and machine learning on a single platform. The company commercialized the lakehouse architecture, combining the flexibility of data lakes with the reliability of data warehouses. Databricks runs on AWS, Azure, and GCP and leads the commercial distribution of the open-source Delta Lake and MLflow projects.\n\nThe platform includes the Databricks Lakehouse for unified data processing, Unity Catalog for governance and lineage tracking, and Mosaic AI for enterprise LLM fine-tuning, model serving, and generative AI application development. It supports data engineering, SQL analytics, BI, feature engineering, and model training within a single governance perimeter, serving enterprises in financial services, healthcare, manufacturing, and media.\n\nDatabricks achieved a $4.8 billion annualized revenue run-rate in early 2025 with 55% year-over-year growth and a $62 billion valuation from its Series L round — one of the most valuable private software companies globally. Its dual role as the leading commercial lakehouse vendor and steward of influential open-source projects gives it a unique ecosystem advantage as enterprises accelerate investment in AI infrastructure.
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