SQream Achieves Linear Scalability in TPC-DS Benchmark

By SQream

7.16.2024 twitter linkedin facebook

SQream, a GPU-accelerated SQL database, has achieved linear scalability according to the TPC-DS benchmark, the industry standard for decision support solutions. This is a significant achievement as it demonstrates SQream’s ability to handle constantly growing datasets without sacrificing performance.

Why Linear Scalability Matters

As organizations collect and analyze increasing volumes of data, traditional database solutions often struggle to keep pace. They may experience performance bottlenecks as data grows, requiring additional hardware or complex software configurations. Linear scalability ensures that adding more resources directly translates to faster processing times. This allows businesses to:

  • Analyze larger datasets: With linear scalability, companies can process massive datasets without worrying about performance degradation. This opens doors to new insights and opportunities derived from big data analytics.
  • Reduce hardware costs: By efficiently utilizing additional resources, linear scalability helps avoid the need for expensive hardware upgrades every time data volume increases.
  • Simplify infrastructure management: Linear scalability eliminates the need for complex configurations or specialized hardware to achieve optimal performance. This simplifies IT operations and reduces management overhead.

SQream’s Performance in TPC-DS

The TPC-DS benchmark is a rigorous test that simulates real-world data processing scenarios. SQream successfully completed the test on datasets of 1TB and 10TB, demonstrating linear scalability. This means that running queries on the 10TB dataset took exactly the same amount of time per query compared to the 1TB dataset, when scaled proportionally with additional hardware.

This accomplishment is particularly impressive considering SQream’s resource efficiency. Unlike some competitors who rely on massive server clusters, SQream achieved these results using a much smaller setup with just 4 Tesla V100 GPUs and 4 Intel Xeon Gold processors.

SQream’s linear scalability in the TPC-DS benchmark showcases its ability to handle demanding workloads on ever-growing datasets. This makes it a compelling solution for organizations seeking to unlock the power of data analytics without sacrificing performance or incurring excessive costs.

Ready to see how SQream can unlock the power of your data? Reach out to our team of experts to learn more about how SQream’s GPU-accelerated platform can help you achieve faster insights and better decision-making.

Download the full TPC-DS benchmark report to see the detailed results and learn more about SQream’s performance.