SQream
From petabyte to real-time AI: Maximum GPU acceleration for your data and analytics pipeline
SQream offers a GPU-accelerated big data and analytics platform for petabyte-scale datasets.
Independent B2B performance index (0–100 points). It is calculated mathematically and without subjective influence from four verified pillars: company stability, aggregated feedback from publicly available online sources, documented compliance certifications, and operational transparency.
Headquarters
Greenwich Street 250, 10006 New York, United States
Employees
42
Founded
2010
Overview
SQream is a technology company founded in 2010, headquartered in New York with roots in Tel Aviv, specializing in GPU-accelerated data analytics platforms. With around 42 employees, the company offers a powerful solution to efficiently analyze massive, petabyte-scale datasets using native SQL. The core product, SQreamDB, is a relational database management system specifically designed for complex analytics, machine learning, and AI workloads. By leveraging NVIDIA GPU technology, SQream drastically reduces data processing times from days to hours or from hours to minutes. This enables companies to gain time-critical insights much faster and more cost-effectively. The platform is suitable for both cloud and on-premises environments and serves a variety of data-intensive industries such as telecommunications, finance, healthcare, manufacturing, and cybersecurity. Notable customers include global corporations such as Orange, Samsung, and Alibaba. SQream acts as an AI Factory, supporting the entire AI lifecycle from data preparation to model training and inference.
Core features
Compliance & security
No verified certifications (such as ISO 27001 or SOC 2) are currently listed for this provider. Information about compliance with standards such as GoBD or GDPR may still be available.
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🚀 Product updates & press releases
SQream, a leading provider of GPU-accelerated data analytics, has announced major updates to enhance its big data processing capabilities in hybrid cloud environments. Through strategic partnerships and technological integrations, particularly with major cloud providers, the company is expanding its global reach. These developments target data-intensive industries such as telecommunications, finance, and retail to massively accelerate complex SQL queries. The focus is on cost efficiency, scalability, and seamless integration into existing data lakehouse architectures.
- •Product Innovations: Introduction of enhanced GPU-accelerated query engines to drastically reduce analysis times for multi-petabyte data volumes.
- •Strategic Partnerships: Deeper integrations with leading cloud platforms such as AWS and Microsoft Azure to facilitate hybrid and multi-cloud deployments.
- •Target Groups & Industry Focus: Optimization of offerings for the telecommunications and financial sectors for real-time analysis of complex data streams.
- •Cost Efficiency: Significant reduction in Total Cost of Ownership (TCO) compared to traditional CPU-based data warehouse solutions.
Source: Publicly available product updates or press releases from SQream.
📰 Social media feedback about the product
No social media mentions or data were provided for SQream. Since no concrete information or discussion content is available, a content analysis of topics, praise, or criticism cannot be performed. An assessment of trends or open questions is not possible due to the lack of a database.
- •No database: No mentions or social media posts were submitted for analysis.
- •No content evaluation: Due to missing data, no statements can be made about features, issues, or target groups of SQream.
Source: Publicly available social media posts (X/Twitter, LinkedIn, Reddit) from the last 12 months. The opinions shown come from users and do not represent BenchTrust's assessment.
See SQream in action
SQream MCP Demo