Elasticsearch/OpenSearch Replacement for Log Analytics at Scale
Game-Changing Price/Performance
A true TCO of your ELK stack must include the cost of administration and maintenance as well as difficult trade-offs for data retention. The unique ChaosSearch architecture and technologies consume far fewer resources than a comparable ELK stack - providing cost savings of up to 80%.
Management Simplicity
Both Amazon OpenSearch and Elastic’s managed service offering require internal FTEs to size infrastructure and manage unforeseen usage spikes that cause downtime. With ChaosSearch’s fully managed service, you won’t need dedicated FTEs to manage infrastructure or build complex data pipelines and schemas for every analytics use case.
Analyze Data in Place
With an ELK stack, you need to push data and transform in Logstash or Fluentd. Subsequent changes require time consuming reindexing and re-mapping. With ChaosSearch, there is no data movement, transformation, or schema management. The Chaos Refinery® cleans, prepares, and virtually transforms data directly in your Amazon S3.
Use the Tools You Know
ChaosSearch replaces Elasticsearch and features a built-in Kibana interface to ensure the same experience. Built on a scalable and flexible architecture, you can easily integrate with the popular APIs and tools you know and love to deliver a branded data service to your customers.
Revinate Case Study
With their data growing daily, the cost of the Revinate’s ELK stack was rising while becoming increasingly unstable. With ChaosSearch, the outages of their old ELK Stack are gone. Internal customers in engineering and the business now have a reliable platform to search through and visualize business events.
Future-Proof Your Analytics at Scale
