Elasticsearch and Apache Solr are distributed, search analytics engines that power sites like Netflix, The Smithsonian, and Instagram. They're based upon the Lucene search library, and both are written in Java. 

To reduce infrastructure costs, improve consistency and meet SLAs, ensure your Elasticsearch and Solr clusters use the world's most powerful Java Virtual Machine and reduce infrastructure costs by 30%+.

Azul Platform Prime® (formerly Zing) is the only JVM that fully eliminates the stalls, jitter, and latency outliers caused by Java Garbage Collection.

Supercharge your Solr search capabilities and lower your costs

Zing ensures Cassandra is always-on, scalable, and real-time.

  • proven in Cassandra deployments ranging from just a few nodes to thousands of server instances
  • reduces infrastructure costs for e-Commerce apps, personalization platforms, payment processing, fraud detection systems, and all types of Cassandra-based use cases.
  • increases carrying capacity–no pauses at increased levels of throughput. 
  • Reduces memory bottlenecks–no more 1TB-memory limits, meaning fewer cluster instances required.

"Without Zing, we would be running five times more infrastructure. Zing has allowed us to focus only on our applications. New features, new roadmaps. We don’t have to worry about performance."

"Zing customers greatly improved their Java performance, substituted increased memory instead of adding high cost servers, and wasted less developer time on latency and troubleshooting."

"Zing reduces infrastructure costs by up to 50%, while delivering performance that is 30% better than Oracle."

"With Zing, we reduced our front-end server footprint by 30%, which is hundreds of servers, and our database server footprint by 50%. This translates into millions of dollars in savings, both hardware we freed up and hosting costs avoided."

"We’re achieving unobtainable technical feats with Zing that you can’t achieve using plain vanilla Java. And this performance translates into huge infrastructure savings and simplification by having less servers."

"I've become a raving fan of Azul in no small part because of the support we get.  Our cases are really complicated—things like TLS 1.3 support, ChaCha20-Poly1305 support, RSA-PSS support, HSM fixes.  Yet we always get great answers in workable timeframes."

"Developers now focus on implementing new features and functionality without work arounds for JVM-related penalties. That was code that the developers no longer have to write, no longer have to maintain, and no longer have to troubleshoot."

"Zing is a powerful replacement of the standard Oracle Hotspot JVM.  Zing addresses both the GC pause and JIT compilation issues.  In our applications, GCs are about 180x smaller with Zing than with the standard Oracle Hotspot JVM."

With Azul, Solr throughput is 29% to 37% faster

In this test, we use a 50GB data dump from Wikimedia as the data set, with some post-processing done to make it easier to search. Once indexed, the index size for this data set was around 15GB.

All the nodes were run with minimal additional tuning. We configured the caches to keep doc IDs in the cache but to not aggressively keep the whole doc in cache.

Our experiments showed that Azul Zulu Prime throughput was from 29% to 37% faster depending on the query being tested.

Meet performance and scalability targets with substantially less hardware

With Azul, you'll meet your application service levels consistently with fewer servers or cloud instances, or drive 2-5x more transactions through your existing infrastructure

Azul Platform Prime is the only JVM that fully eliminates the stalls, jitter, and latency outliers caused by Java Garbage Collection.

App on HotSpot

The same app on Azul

Read the white paper

Use 40% fewer cloud instances.

Azul optimizes Apache Solr so you can meet SLAs with fewer resources 

Increase data densities by at least 20%.

Significantly improve memory utilization on existing resources.

Improve response times 20% compared to HotSpot.

Typical Azul Platform Prime customers:

Cut infrastructure costs by 50%

Consistently exceed
 99.99% SLAs

Save $2M over 3 years

Increase developer productivity by 20%

Achieve 224% ROI on their Azul licenses

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"Without Azul Platform Prime, we wouldn't be able to deploy Apache Solr for our production system. Our customers could have experienced long pauses when searching for critical documents." 

Mou Nandi, Search Engineer and Architect, NetDocuments

Azul delivers massive scale & performance to