In this post we introduce the new Scylla workload prioritization mechanism, explaining the vision behind developing this feature and how it is implemented, and most importantly, we show you test results of how it performs in a real-world setting.
At Scylla Summit 2018, Yahoo! Japan’s engineers Takahiro Iwase and Murukesh Mohanan took to the stage to describe their reasoning for testing Scylla, a challenger, against Apache Cassandra, their in-house long-time NoSQL favorite. With Cassandra, as Takahiro said, “We have problems. Lots of problems.”
The Scylla Enterprise team is pleased to announce the release of Scylla Manager 1.4, a production-ready release of Scylla Manager for Scylla Enterprise and Open-Source customers.
Security-conscientious developers and infrastructure maintainers can protect against side-channel attacks by minimizing the amount of shared infrastructure. This means VMs and Container infrastructure. This was always a theoretical concern, but the new flaws catapult this front and center to the main stage.
Anyone who’s tried to build such a solution knows that one of the chief difficulties is encompassing the sheer number and complexity of existing data sources. In order to deliver a true solution, we need to be able to bring this disparate data together. A graph data system, built with JanusGraph and backed by the power of Scylla, is a great fit for solving this problem.
Once we set up the first Scylla cluster, we realized that Scylla mostly tunes itself. That seemed like a pretty impressive feat, knowing that the system could be installed, auto-tune, and be ready for a production workload. We were heartened to know that the engineering team at Scylla had put a lot of effort into making sure their product will perform well out of the box.
The ScyllaDB team announces the release of Scylla Open Source 3.0.6, a bugfix release of the Scylla Open Source 3.0 stable branch. Scylla Open Source 3.0.6, like all past and future 3.x.y releases, is backward compatible and supports rolling upgrades.
With Scylla Enterprise 2019.1 we’ve introduced new capabilities, as well as inherited a rich set of new features from our Scylla Open Source 3.0 release for more efficient querying, reduced storage requirements, lower repair times, and better overall database performance.
In this article, we will compare Scylla Cloud and Google Cloud Bigtable. We show that Scylla Cloud is one-fifth the cost of Cloud Bigtable under optimal conditions (perfect uniform distribution) and that when applied to Zipfian distribution, the difference grows to 25x.
Scylla Summit 2019 is coming to San Francisco this November 5-6, 2019. Everyone has a story about their journey to find the best database solution for their specific use case. What’s yours?