Scylla 2.3 was just recently released, and you can read more about that here. Aside from the many interesting feature developments like improved support for materialized views and hardware enablement like native support for AWS i3.metal baremetal instance, Scylla 2.3 also delivers even more performance improvements on top of our already industry-leading performance. Most of the performance improvements center around three pillars: Improved CPU scheduling, with more work being tagged and isolated The result of a diligent search for latency-inducing events, known as reactor stalls, particularly in the Scylla cache and in the process of writing SSTables A new, redesigned […]
In the run-up to Scylla Summit 2018, we’ll be featuring our speakers and providing sneak peeks at their presentations. The second interview in this series is with ScyllaDB’s own Vlad Zolotarov. Vladislav “Vlad” Zolotarov is one of our experts at getting the most out of Scylla, having written articles in the past about CQL tracing, tracing slow queries, securing your cluster, and using Hinted Handoffs. He will speak at the Scylla Summit in a talk entitled Scylla Got Slow! Using Tools, Talent, and Tracing to Find Out Why. He took the time to give a sneak peek into his upcoming […]
In this post we discuss the enhanced filtering support coming in Scylla 2.4 and compare it to the recommended alternatives and their performance.
In this blog post, we will take a closer look at how Scylla streaming works in detail and how Scylla 2.4’s new streaming improves streaming bandwidth by 240% and reduces the time it takes to perform a “rebuild” operation by 70%.
This article will shed light on the performance penalties of running Scylla on Docker and discuss the tuning steps to solve them.
AdGear joined us at the Big Data Montreal meetup and we discussed Real-time Data at Scale and how we helped them achieve their goal of 1 million queries per second.
In this post, we will explore how the Scylla data cache works and will compare the performance results to Cassandra and earlier Scylla releases.
Scylla 2.2 is a great release. As promised, we will share the performance results for this release and compare it to the previous version of Scylla.
Benchmarking is no easy task, especially when comparing databases with different “engines” under the hood. You want your benchmark to be fair, to run each database on its optimal setup and hardware, and to keep the comparison as apples-to-apples as possible. (For more on this topic, see our webinar on the “Do’s and Don’ts of Benchmarking Databases.”) We kept this in mind when conducting this Scylla versus Cassandra benchmark, which compares Scylla and Cassandra on AWS EC2, using cassandra-stress as the load generator. Most benchmarks compare different software stacks on the same hardware and try to max out the throughput. […]
Scylla came out on top and is now in production at Grab. In this post, you can learn more about Grab’s journey to Scylla and see what they liked about it.