Looking for new ways to solve Cassandra performance problems? When your business depends on Apache Cassandra or Datastax Enterprise, Zing delivers consistent performance and throughput
“Ultra low latencies are of paramount importance to many of our customers, and are almost impossible to achieve if you use a standard JVM. Fraud Prevention That Learns™ combined with Azul Zing can handle peak load demands of up to 50,000 transactions per second, which guarantees that we can deliver the best that artificially intelligent machines can offer.”
- Nuno Sebastiao, Chief Executive Officer of Feedzai
Some of the world's largest Cassandra installations use Zing on thousands of nodes to ensure predictable performance without any Java GC pauses or jitter. Azul has deep experience helping DevOps, performance and support teams solve JVM tuning problems caused by random interaction between the Java runtime and Cassandra.
Get a Cassandra Assessment from AzulEven the best database architects may not understand the impact a better JVM can have on Cassandra’s runtime consistency and throughput. We have optimized Zing specifically for Cassandra — and it shows. Zing solves the JVM-centric issues that can impact Apache Cassandra performance — without days or weeks of JVM tuning.
Get the Cassandra Solution Brief
Zing allows your Cassandra teams to focus on new features instead of continually tuning HotSpot
Zing eliminates the GC problems that can hurt Cassandra performance
Cassandra-based systems using Zing show pauseless operation even at 60,000 transactions per second
Deliver consistent performance across your entire Java-based stack
Zing is proven with Cassandra deployments ranging from 3 to thousands of nodes.
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