Apache Cassandra is an open source distributed database management system designed to handle large amounts of data across many commodity servers, providing high availability with no single point of failure. Cassandra offers robust support for clusters spanning multiple datacenters, with asynchronous masterless replication allowing low latency operations for all clients.
A fast front end without a fast backend has limited use. Google Cloud Platform can rapidly provision and scale networking load to handle one million requests per second. Using 330 Google Compute Engine virtual machines, 300 1TB Persistent Disk volumes, Debian Linux, and Datastax Cassandra 2.2, we were able to construct a setup that can sustain one million writes per second with a median latency of 10.3 ms and 95% completing under 23 ms.
Deploy a Cassandra cluster with only a few clicks on Compute Engine.
Compute Engine, combined with Persistent Disk resources, are a perfect match for high write-intensive Cassandra deployments.
Cassandra's flexible replication features support deployments across multiple Compute Engine zones and regions.
Follow our tutorial to learn how to deploy and configure a basic Cassandra cluster on Google Compute Engine.
See the demo on Cassandra deployment
Let our sales team help you determine the best way to begin using Cassandra on Google Cloud Platform.
DataStax provides software, training, systems integration, and support for Cassandra.
Network with Cassandra professionals at Planet Cassandra.
RiptideIO’s Brightworks platform, powered by Apache Cassandra, brings the advantages of a modern software architecture to the connected world by delivering an always-on, dynamic experience for the Internet-of-Things for some of the world’s top companies.
“Google's Compute Engine allows for really quick provisioning of servers, disks, network rules, etc. The tools provided also make the experience really smooth. When you couple this with billing by the minute, you have what is really an ideal platform on which to run a performance-intensive application like Cassandra.”
TimeSeries Group
