So you’re thinking of running your applications with Scylla? You’ve probably heard it’s a lightning fast, self-optimizing, highly available Apache Cassandra drop-in replacement. Yet you may still have questions like: How do I upgrade from my current system? How many nodes do I need? How do I ensure that my data is consistent across the database? How should applications be written to maximize database performance? How do I scale up or scale out? To make it easier to find answers to these questions and many more, we have launched Scylla University. Anyone in your organization can now take advantage of […]
The Scylla team is pleased to announce the release of Scylla 2.3, a production-ready Scylla Open Source minor release. The Scylla 2.3 release includes CQL enhancements, new troubleshooting tools, performance improvements and more. Experimental features include Materialized Views, Secondary Indexes, and Hinted Handoff (details below). Starting from Scylla 2.3, packages are also available for Ubuntu 18.04 and Debian 9. Scylla is an open source, Apache Cassandra-compatible NoSQL database, with superior performance and consistently low latency. Find the Scylla 2.3 repository for your Linux distribution here. Our open source policy is to support only the current active release and its predecessor. […]
Large partitions, although supported by Scylla, are also well known for causing performance issues. Fortunately, release 2.3 comes with a helping hand for discovering and investigating large partitions present in a cluster — system.large_partitions table. Large partitions CQL, as a data modeling language, aims towards very good readability and hiding unneeded implementation details from users. As a result, sometimes it’s not clear why a very simple data model suffers from unexpected performance problems. One of the potential suspects might be large partitions. Our blog entry on large partitions contains a detailed explanation on why coping with large partitions is important. […]
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.
2017 was an exceptional year at ScyllaDB. We were successful in all the areas that really matter—our product, our staff and, most importantly, our user community. And while there’s still much work to do, I’d like to take a moment to reflect on a few of our bigger accomplishments from the year.
We’ve spent the first quarter of 2017 researching how developers build a wide range of mission-critical solutions. In our effort to better understand how open source solutions contribute to applications built on Amazon Web Services (AWS), we surveyed 117 active developers on AWS who attended the 2017 AWS Summit in San Francisco about their NoSQL database adoption.