Scylla Open Source 3.0 introduces a rich set of new features for more efficient querying, reduced storage requirements, lower repair times, and better overall database performance. Already the industry’s most performant NoSQL database, Scylla Open Source now includes production-ready features beyond the capabilities of Apache Cassandra.
Creates a persistent table that is a subset of a base table, using different keys and thus accelerating the search. The view and the base consistencies are managed by Scylla automatically. Materialized Views are now fully production ready in Scylla 3.0, while still experimental in Apache Cassandra.
Global Secondary Indexes (GSI) allows you to query data through non-primary key columns, minimizing the amount of data retrieved from the database and resulting in faster interactions. GSI is compatible with Apache Cassandra; however, with Scylla the index is cluster-global and search does not depend on the size of the cluster. An enhancement added in Scylla Open Source 3.1, Local Secondary Indexes (LSI) allows Scylla to optimize workloads where the partition key of the base table and the index are the same key.
Scylla Open Source 3.1 is now supported on the AWS i3en instances, where each node can store up to 30TB of data. Significantly larger databases can now be created, simplifying development, deployment and enhancing user experiences.
Speeds up repairs by working at the row level. This significantly reduces the time for repairs and lowers the volume of data that needs to be transferred between nodes when repairs are needed.
Get more query flexibility by appending queries with ALLOW FILTERING to bypass some Cassandra query restrictions. Designed for low-selectivity queries, the ALLOW FILTERING command can be executed on regular and primary key columns, reducing the network traffic back to the client and resulting in better application performance.
Now compatible with the latest Apache Cassandra file format (SSTable “mc”), which results in less disk space used and improved performance. The storage volume is reduced by as much as 3X.
Automatically recover intermediate failures by storing up to 3 hours of untransmitted data between nodes. This improves consistency and reduces the repair time and amount of work, resulting in higher overall performance for large clusters.
Increases system responsiveness and efficiency by improving locality and caching of range scans. This feature increases the throughput of range scans by 30%, reduces the amount of data read from the disk by 40% and lowers disk operations by as much as 75%.
Boost the speed of auto-scaling the cluster as well as replacing faulty nodes. These improvements result in higher performance for the overall system when there is a change in the cluster topology.
Take a deep dive into Materialized Views, Secondary Indexes and Allow Filtering in this engineering talk from our Scylla Summit.
Read our press release announcing Scylla Open Source 3.0 from our Scylla Summit last fall.
Getting started takes only a few minutes. Scylla has an installer for every major platform. If you get stuck, we’re here to help.