Released May 5, 2026, Elastic 9.4 extends the platform across Search & AI, Observability, and Security: Agent Builder gains new primitives and Workflows reaches GA to coordinate agent actions;
Elastic on May 5, 2026 released version 9.4 of its Elasticsearch platform, a cross — domain update covering Search & AI, Observability, and Security. The company frames the release around strengthening Elastic as a context and retrieval layer for AI-driven tooling and analyst workflows, delivering updates intended to improve how agents and operators gather, reason with, and act on context across systems.
Agent Builder is a central focus of 9.4. The release adds new primitives — Skills, Attachments, Connectors, and Plugins — that change how agents collect context, invoke capabilities, and integrate with external systems. Alongside those primitives, Elastic Workflows reaches general availability: scripted automation combined with agentic reasoning that lets agents coordinate multi — step actions, orchestrate tasks, and trigger external integrations from within the platform.
Observability in 9.4 introduces native Prometheus and PromQL support and marks time-series ES|QL as generally available. Elastic reports time-series database (TSDB) efficiency improvements that make its storage 2.6× more efficient than Prometheus, a claim positioned to support consolidation of metrics and logs onto a single platform for faster troubleshooting. Native PromQL support provides a direct migration path for Prometheus and Grafana workloads onto Elastic’s metrics stack without translating query semantics.
Security receives built — in automation through Workflows to automate triage, enrichment, response, and case management where security data lives. The security suite also adds four Entity Analytics capabilities — Precision Entity Identification, Entity Resolution, Dynamic Watchlists, and Entity‑Driven Hunting Leads — designed to produce one authoritative record per person with aggregated risk scoring and organizational context to improve investigations and hunting workflows.
Platform and governance improvements in 9.4 aim at performance and operational compliance. DiskBBQ, Elastic’s vector indexing/search algorithm, received performance updates, and NVIDIA cuVS GPU-accelerated vector indexing graduates to GA with up to a 12× indexing throughput improvement. ES|QL can now query, filter, and aggregate any ingested field even without explicit mappings, while five new ES|QL capabilities — including Subqueries — arrive in technical preview for testing. The release also moves both Elasticsearch and Kibana to full-stack FIPS 140-3 compliance.
For builders and operators the practical implications are clearer context engineering with Agent Builder and Workflows, a defined path to consolidate Prometheus/Grafana workloads on Elastic’s metrics stack, and faster vector and TSDB indexing for high-throughput environments.
Sources
Replies (0)
No replies in this topic yet.
