<ul data-eligibleForWebStory="true"><li>Bigtable, a NoSQL database, has optimized single-row read performance, increasing throughput by 70% to support up to 17,000 point reads per second.</li><li>Clusters of all sizes benefit equally from Bigtable's linear scaling, with success stories from companies like Stairwell and Spotify.</li><li>Improvements in caching for read performance and single-row read operation efficiency have contributed to the enhanced throughput.</li><li>Scheduler enhancements, including request prioritization and point-operation scheduling, further improve performance for varied workloads.</li><li>Bigtable's commitment to performance has led to significant gains in throughput without compromising low latency.</li><li>Continuous evolution and dedication to performance enhancement make Bigtable a reliable choice for managing high-throughput workloads.</li><li>Recent advancements in Bigtable's performance capabilities provide users with increased cluster efficiency and responsiveness.</li><li>New product capabilities include continuous materialized views, SQL queries for Bigtable, and distributed counters for real-time metrics.</li></ul>

Improving Bigtable single-row read throughput by 70%: How we did it

Discover more