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.
Explore the main differences between i3.16xlarge in the i3 family and i3.metal on AWS. Will removing the virtualization layer bring better performance?
Ola Cabs shares their two-year journey with Scylla and how it lived up to their expectations. Learn how they graduated from using Scylla for very simple and non-critical use cases to running it for their mission-critical flows.
The Intel Memory Group is behind the revolutionary Optane SSD drive that provides breakthrough performance and is 5-8x faster at Low Queue Depths than traditional SSD’s. Intel began working with ScyllaDB staff last year to build a big memory system at high-volume scale. They chose Scylla because they needed a solution that can fully leverage the hardware to derive the best possible performance.
One of the cornerstones of Scylla is the I/O Scheduler, described in details at the moment of its inception in a two-part series that can be found here (part 1) and here (part 2). In the two years in which Scylla has been powering mission-critical workloads in production the importance of the I/O Scheduler was solidified and as our users have attested themselves, it plays a key part in isolating workloads and delivering on our Autonomous Operations promise.