Elasticsearch
by Elastic · Data and analytics · San Francisco, United States
A distributed, RESTful search and analytics engine that powers search, observability, and security applications.
What Elasticsearch does
- Distributed search and analytics
- Vector database for embeddings
- Hybrid search retrieval
- Real-time threat detection
- Log ingestion and analysis
- Metrics and time-series storage
- RESTful API
- Multi-index support
- Schema flexibility for multiple data types
What Elasticsearch is used for
- AI context retrieval for agents
- Threat detection and investigation
- Log analytics and incident response
- Application performance monitoring
- Security event correlation
Who Elasticsearch is for
- Banks
- Insurers
About Elastic
Search database, SIEM, observability platform, and AI context engine for security and operations.
Elastic in the vendor registry: its products, features and similar vendors.
Also by Elastic
- Kibana: Visualization and dashboard tool for exploring and analyzing data stored in Elasticsearch.
- Elastic Agent Builder: Tool for building context-aware AI agents that incorporate enterprise data and deliver relevant outcomes.
- Elastic Security (SIEM): AI-driven security analytics platform for detecting, investigating, and responding to threats in real time.
- Elastic Observability: Agentic observability platform for logs, metrics and traces at reduced cost.
- Elastic Search: A search database for AI powering search, security and observability applications.
- AutoOps: Free cluster management utility providing real-time diagnostics, performance recommendations, and cost insights.
More in this category: Data and analytics platforms for financial services.
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Built by Vederca from public sources, last updated 2026-10-18.