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."
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
Azul respects your privacy, and we’ll only use your personal information to administer your account or provide the products and services you request from us. By clicking the “Submit” button, you agree Azul may contact you about our products and services, or provide other content that may interest you and you consent to Azul storing and processing the personal information submitted to provide the content you requested. You can unsubscribe from these communications at any time. For more information, review our Privacy Policy.
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
© Azul 2023 All rights reserved. Privacy Policy | Legal | Terms of Use
"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
