Report

The Challenges of Massive Data Analytics Report

The Challenges of Massive Data Analytics Report

Pages 24 Pages

SQream addresses the challenges of massive data analytics by leveraging its patented GPU-accelerated SQL database technology, which enables massively parallel processing of petabyte-scale datasets with superior speed and cost efficiency. Unlike traditional CPU-based or legacy solutions, SQream harnesses thousands of GPU cores to accelerate complex SQL queries by 20x to 100x, drastically reducing data ingestion and query times. It employs a columnar storage engine optimized for analytics, automatic data partitioning, and smart load balancing to efficiently handle large, complex, and continuously growing data. SQream's architecture separates storage and compute, allowing independent scaling that supports high concurrency and availability.

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