Apache Cassandra

When your business depends on Apache Cassandra or Datastax Enterprise, Azul's proven technolgies ensure consistent performance and throughput

When predictable Cassandra performance is essential

“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

Meet performance and scalability targets

Some of the world's largest Cassandra installations use Azul to ensure predictable performance without any Java-based stalls and jitter. Azul has deep experience helping DevOps, performance and support teams identify and resolve problems caused by random interaction between the Java runtime and Cassandra.

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Maximize the value of your Cassandra deployment

Many enterprises do not understand the impact a Java runtime can have on database runtime consistency and throughput. Azul has deep domain expertise in Java and Java innovation and has been working with enterprise customers and partners for more than a decade to address Java scalability issues. Zing solves many runtime issues that impact Apache Cassandra as well as key supporting components such as Apache Lucene, Spark, Storm and Kafka.

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Eliminate Java GC Problems

Zing allows your developement to focus on features instead of Java tuning

Avoid cascading node failures

Zing eliminates the pauses that can take Cassandra nodes offline

Meet throughput targets

Cassandra systems using Zing show pauseless operation even at 60,000 transactions per second

Cassandra + Lucene, Solr or Spark

Deliver scalable performance even when using memory-intensive workloads

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Benchmark

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Gain all the benefits of your Cassandra investment

Zing is proven with Cassandra deployments ranging from 3 to thousands of nodes.

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