Azul delivers better Java performance and reduces
infrastructure costs for big data technologies.
Faster, pauseless Java.
Lower infrastucture costs for your data engineering.
Azul customers can cut their infrastructure overhead in half while at the same time improving the security and performance of databases, data lakes, data analytics tools, and data science platforms.
Shrink your infrastructure while increasing the carrying capacity of Cassandra, Kafka, and Spark-based apps.
Ensure pauseless processing of even the most massive in-memory datasets and Hadoop, Kafka and search clusters.
Fast results, delivered securely
Driver faster analysis of ever-larger data sets to deliver results to users faster, without compromising security or data protection.
See in-memory compute platform applications and benchmarks with GridGain.
How to handle big data in Java: Learn how Azul drives low-latency big data use cases at scale with in-memory Apache Ignite and GridGain.
Azul Platform Prime reduces infrastructure overhead 20% when using Apache Kafka.
Discover how greater throughout through faster-performing code, thanks to Azul, means less hardware required.
the modern cloud enterprise.
Azul delivers the turbocharged performance you need to handle the scale of Java-based big data while actually reducing your infrastructure requirements.Learn More