How ScyllaDB Scaled to One Billion Rows a Second
Blog post from ScyllaDB
In a blog post detailing the performance capabilities of ScyllaDB, a highly scalable NoSQL database, the author describes a test conducted to measure its speed on Packet's bare metal cloud infrastructure. The test showcased ScyllaDB's ability to scan over one billion rows per second using just 83 nodes, highlighting its efficiency compared to previous benchmarks by other database solutions. The blog also provides a historical overview of NoSQL scalability milestones, emphasizing the importance of understanding the specific metrics and contexts of such performance claims. The test involved simulating a scenario with one million smart home sensors generating temperature data, demonstrating ScyllaDB's capability to efficiently process vast amounts of time-series data. The infrastructure used for the test included high-performance servers provided by Packet, ensuring that network IO was not a bottleneck. The post concludes by encouraging users to share their own scalability achievements and introduces new features in ScyllaDB that enhance its utility in handling large-scale data processing tasks.
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