Pulse Query Analytics for Elasticsearch and OpenSearch

Pulse Query Analytics for Elasticsearch and OpenSearch

Detect, analyze and resolve the source of slowness in your Elasticsearch and OpenSearch clusters.

Do you often find yourself grappling with the frustration of poor query performance? Trying to figure out the root cause of a problem can be exhausting, resource-consuming, and impact your customers’ experience and the company revenue.

Pulse introduces its revolutionary Query Analytics feature, designed to alleviate your query-related woes and empower you with comprehensive insights for optimal system efficiency.


The feeling of being lost and uncertain about where to begin addressing query performance issues is all too familiar. It’s like navigating through a maze of interconnecting events, where a seemingly innocent Kibana dashboard or an insignificant cluster hiccup sometimes go unnoticed but can suddenly take the entire stack down. Such problems not only affect production but also disappoint your customers and significantly influence your cloud bill.

Pulse our innovative platform already goes beyond the traditional approach of endlessly staring at dashboards and analyzing individual queries. With Pulse you get a holistic view of your cluster’s performance, including indexes, nodes, and shards, and now with the one-of-a-kind Query Analytics feature that aids in identifying and resolving query issues. With Pulse’s Query Analytics for Elasticsearch and OpenSearch, you gain access to a powerful platform that was never seen before in Elasticsearch developer tools.