Elastic / elastic.co
AI-powered search and observability platform providing vector search, ELSER semantic search, AI-generated insights, and Elasticsearch for enterprise search and observability workloads.
Pricing
Free
Free plan
Yes
Category
Developer Tools
Platforms
3
Free plan
Yes
API access
Yes
Open source
Yes
Platforms
3
Elastic is the company behind Elasticsearch, Kibana, Logstash, and Beats — the Elastic Stack used by thousands of organisations for full-text search, log analytics, observability, and security analytics. AI capabilities include ELSER (Elastic Learned Sparse EncodeR) — Elastic's semantic search model enabling meaning-based search beyond keyword matching without requiring external embedding APIs. Vector Search in Elasticsearch enables approximate nearest neighbour search — storing and querying dense vector embeddings for semantic similarity, recommendation, and AI application retrieval. AI-powered anomaly detection in machine learning jobs identifies unusual patterns in time-series data — automatically surfacing security threats, performance degradation, and operational anomalies. ESRE (Elastic Search Relevance Engine) provides hybrid search — combining semantic and lexical search for the optimal relevance blend. Elastic AI Assistant integrates with security and observability workflows — natural language queries of log and metric data, AI-generated incident summaries, and investigation assistance. Kibana provides the visualisation and analytics layer — dashboards, maps, Canvas presentations, and ML result exploration. The Elastic Stack is the most widely deployed open-source search and analytics stack — running in cloud and on-premise across every major industry. With major enterprise and government deployment, Elastic validates as foundational search and observability infrastructure.
Elastic AI runs as ml platform software built around data and text workflows. Users typically start with a prompt, upload, or connected data source, and the underlying model handles the heavy lifting before returning a result you can refine or export. It's available on web, cli, and api, with API access for teams that want to embed it into their own products.
The capabilities that matter most for teams evaluating Elastic AI.
Elastic's built-in semantic search model — meaning-based search without external embedding API dependency.
Dense embedding nearest neighbour search enabling AI retrieval applications on existing Elasticsearch infrastructure.
ML-powered unusual pattern identification in time-series data — automatic security threat and operational anomaly surfacing.
Open source (free). Elastic Cloud from $16/month. Enterprise custom. Publicly traded (ESTC).
Model
Open Source
Starting price
Free
Free trial
No
OpenSearch provides AWS-maintained open-source Elasticsearch fork. Algolia (covered) provides managed search. Splunk (rank 955) provides enterprise log analytics. Datadog (covered) provides observability.
A side-by-side look at the closest alternative in this category.
Key facts about model providers, platforms, and team support.
Model Provider
Elastic, ELSER
Platforms
Web, CLI, API
Deployment
Open Source, SaaS, On-premise
Integrations
AWS, Azure, GCP, Kubernetes, Logstash, API
Team Collaboration
No
Launch Year
2023
Compliance signals and data-handling notes as reported by the vendor.
SOC 2 Type II. ISO 27001. GDPR compliant. FedRAMP moderate. Enterprise data handling agreements.
Search and log data processed on Elastic Cloud or customer on-premise. ELSER semantic model runs on Elastic infrastructure or customer clusters.
Editorial Verdict
Elastic is the most widely deployed AI search and observability platform for enterprises wanting semantic vector search, ML anomaly detection, security analytics, and open-source deployment flexibility.
Last verified July 24, 2026.
Open source (free). Elastic Cloud from $16/month. Enterprise custom. Publicly traded (ESTC).
Open source self-hosted free. Grafana Cloud free tier (limited). Enterprise from $299/month. Custom enterprise available.
SOC 2 Type II. ISO 27001. GDPR compliant. FedRAMP moderate. Enterprise data handling agreements.
Grafana Labs SOC 2 Type II. ISO 27001. GDPR compliant. Enterprise data handling agreements. Self-hosted maintains all data on customer infrastructure.
Search and log data processed on Elastic Cloud or customer on-premise. ELSER semantic model runs on Elastic infrastructure or customer clusters.
Self-hosted Grafana keeps all telemetry data on customer infrastructure. Grafana Cloud processes metrics, logs, and trace data on Grafana Labs managed infrastructure.
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