Elastic

Founded by Shay Banon in 2012

Index, search, and analyze structured data, application logs, and security telemetry in real time

Pricing model

Free trial, Paid

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Elastic to store, search, and analyze large volumes of data across your entire digital infrastructure. It combines vector and full-text search to retrieve information for search applications and artificial intelligence agents. You can ingest telemetry data like logs, metrics, and traces to monitor system health and detect root causes during outages. Security teams can collect event feeds to identify cyber threats, protect endpoints, and automate incident triage. It provides a unified database that connects directly with data lakes, warehouses, and storage systems.

What Elastic does

Ingest log data from distributed serversExecute hybrid vector and text queriesBuild interactive telemetry dashboardsSet automated alerts for security breachesInspect application traces for latency bottlenecksRetrieve contextual passages for language modelsRerank search results based on user queriesHybrid search combining BM25 keyword matching and vector embeddingsFederated querying across data lakes and warehouses via ES|QLDirect GPU inference and model execution inside the engineNative ingestion agents for system logs, metrics, and network tracesSecurity event monitoring and automated endpoint threat investigationBuilt-in data chunking and reranking for retrieval augmented generationInteractive dashboards and visual investigation graphs in Kibana

Pricing breakdown

Pricing model: Free trial, Paid

Tutorials & Demos

Frequently asked

Kubernetes Docker

Docker

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