Elasticsearch started life as a document database sitting atop the Lucene text search engine library. It was soon joined by related applications, and the preferred acronym for the Elasticsearch family ...

Observability practitioners may be familiar with using one query language for logs, another for metrics and another for traces and application performance monitoring. That can sometimes pose ...

Each step adds operational overhead as data volumes grow, with most pure-play vector databases adding unpredictable pricing on top. Elasticsearch Vector Database handles all of this automatically ...

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SAN FRANCISCO--(BUSINESS WIRE)--Elastic ® (NYSE: ESTC) ("Elastic"), the company behind Elasticsearch ®, today announced Elasticsearch Query Language (ES|QL), its new piped query language designed to ...

Elastic has unveiled Elasticsearch Query Language (ES|QL), its new piped query language designed to transform, enrich and simplify data investigation with concurrent processing. ES|QL enables site ...

Elastic (NYSE: ESTC) today announced Elasticsearch Vector Database, a new serverless offering purpose-built for large-scale vector search and AI applications. Elasticsearch is already one of the most ...

How CVE-2025-50181 exposed a urllib3 dependency trap and forced a production migration from the legacy Elasticsearch client ...

IT organizations must set up management and monitoring tools for high performance and uptime. The more reliable IT tools are, the more reliable IT can make the hosting environment for business ...

IT teams, data analysts and other users often need to search unstructured -- or semistructured -- data with open search strings. To address this need natively in AWS, Amazon Elasticsearch Service and ...