Elasticsearch
Stores structured, unstructured, and vector data.
Find alternatives to Elasticsearch
What it does
- Vector search
Features 7
- Hybrid and vector searchFull-text search, semantic search and hybrid search with filters, ranking and reranking.
- Geospatial searchSearch and analyze geo data with geo-distance, polygons and hexagonal spatial analytics.
- Cross-cluster searchFederated search across clusters.
- Real-time analyticsReal-time analytics that aggregate and transform even high-cardinality data instantly.
- Language clients and APIsClients for Java, Python, Go and more, plus raw API access.
- Autoscaling and rebalancingAutoscales, rebalances and replicates, scaling to petabytes with no downtime.
- Serverless offeringA fully managed serverless offering for search, observability and security.
Sources
- Pricing
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"Pay only for what you use"
- Description
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Official documentation · 14 Oct 2026
"stores structured, unstructured, and vector data"
- What it does
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Official documentation · 14 Oct 2026
"vector ingestion, storage, search, and reranking"
- Sold within
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Official documentation · 14 Oct 2026
"Deploy hosted Elasticsearch and Kibana"
- Name
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Official documentation · 14 Oct 2026
"Elasticsearch is an open source"
- URL
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Official documentation · 14 Oct 2026
"Elasticsearch is an open source"
- Deployment
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Official documentation · 14 Oct 2026
"Get a hosted solution up and running in minutes."
- Interfaces
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Official documentation · 18 Oct 2026
Page: 'Clients for Java, Python, GO, and much more — plus raw API access when you want it'.
- Intended for
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Official documentation · 18 Oct 2026
Page: 'Real-time search and precision at scale — built for developers, loved by data'.
Also from Elastic
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Elastic AI Assistant Platform
A conversational assistant embedded in Kibana that answers natural-language questions against a customer's own indexed data across Elastic's Observability, Security and Search solutions.
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Elastic Agent Builder Agent platform
A builder for custom AI agents that answer questions and take actions over data indexed in Elasticsearch, using configurable tools, skills and prompts.
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Elastic AI SOC Engine Application
An AI security-operations layer that correlates alerts from a customer's existing security tools, prioritizes threats and guides response workflows without replacing their SIEM.
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Elastic Workflows Agent platform
An automation engine that runs both scripted steps and AI agents which reason through investigations and execute response actions against data in Elasticsearch.
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Elastic Inference Service Model API
Hosted inference endpoint that runs Elastic-managed LLMs, the ELSER sparse-embedding model and third-party embedding models for ingest, search and chat without provisioning ML nodes in a customer's own Elasticsearch deployment.
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Elastic AIOps Application
GenAI- and ML-driven capability inside Elastic Observability that automatically detects, diagnoses and helps resolve operational issues, providing recommended actions for SREs.
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Elastic LLM Observability Application
Monitoring capability inside Elastic Observability for generative-AI and agentic applications: performance, cost control, guardrail tracking and reliability for GenAI workloads.
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Elastic Security Application
Agentic security-operations platform unifying SIEM, XDR and native automation, with autonomous agents handling detection-to-response workflows and purpose-built AI skills for threat hunting, alert analysis and detection engineering; supports multiple LLMs including on-premises models.
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Elastic Observability Platform
Uses machine learning to identify anomalies before they become incidents.
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Streams Application
Uses AI to structure and enrich raw logs.
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Elastic Context Engine Infrastructure service
Distills source data into context for retrieval by agents and applications.
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Attack Discovery Application
An LLM-based application that analyzes security alerts, identifies potential attacks, and groups related alerts into attack narratives.
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