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DirectoryObservability & MonitoringLog Management & AnalyticsElastic (ELK Stack)

Elastic (ELK Stack)

About Elastic (ELK Stack)

Elastic is a technology company that builds the Elastic Stack. The Elastic Stack includes Elasticsearch, Kibana, Logstash, Beats, and Elastic Agent. Elastic offers three solutions: Elasticsearch, Elastic Observability, and Elastic Security. Elasticsearch stores, indexes, and queries large volumes of structured and unstructured data. All solutions are available via Elastic Cloud Serverless, Elastic Cloud Hosted, or self-managed deployment.

Products

  • Logstash: A server-side data ingestion pipeline.
  • Beats: Lightweight data shippers.
  • Elastic Agent: A unified agent for logs, metrics, and security data.

Used for

  • Detecting threats using a SIEM.
  • Identifying the root cause of issues through observability.
  • Retrieving relevant passages with vector search.
  • Searching across data to find answers using agents.
  • Building retrieval augmented generation (RAG) pipelines that ground LLM outputs in retrieved documents.

Who it is for

  • Used by development teams building context-driven AI applications.
  • Used by over 75% of the Fortune 100.

From Elastic (ELK Stack)'s own website, read 2026-10-23. How we build listings.

How to evaluate Log Management & Analytics

This is how the CIOPages Research Team evaluates this category. It is not an assessment of Elastic (ELK Stack). It comes from our Log Management & Analysis buyer guide.

25%
Cost & Tiering Model at Volume
Unit of pricing (per-GB ingest, compute/SVC, credits, host, consumption) and how the bill behaves as volume grows; hot/warm/cold/frozen or archive tiers, index-free or low-cost retention tiers, rehydration cost and latency, and ingest controls or sampling to cap spend
20%
Search, Query & Analytics Power
Full-text vs. label-only vs. schema-on-read; query language depth (SPL, ES|QL/KQL, LogQL, DQL, SQL) and learning curve; performance on cold and high-cardinality data; aggregations, pattern detection, and live-tail for real-time troubleshooting
20%
Pipeline, Ingestion & OpenTelemetry
Agent footprint and collector strategy; native OpenTelemetry/OTLP ingest; parsing, enrichment, masking, routing, and reduction before storage; ability to fan data out to multiple destinations and to swap backends without re-instrumenting sources
15%
Security, Compliance & Retention
RBAC/SSO, field-level masking of sensitive data, immutable/WORM audit retention, and tamper-evident logging; SOC 2 / ISO 27001 / FedRAMP coverage and data residency; SIEM or threat-detection content if logs feed security
10%
Observability Correlation & Architecture
Whether logs sit standalone, inside an observability suite (correlated with metrics and traces), or inside the SIEM; trace-to-log pivots, unified context, and how cleanly it slots beside tooling you already run
10%
Operations, Scale & AI Assist
Self-managed vs. SaaS operational burden, multi-tenant and multi-cluster scale, ingest spikes and back-pressure handling; API/IaC coverage; and AI-assisted features such as anomaly detection, log clustering/patterns, and natural-language query

CIOPages put this listing together from public sources. It’s information, not an endorsement. How we build listings. Work here? Claim this listing or .

Quick Facts

www.elastic.co Pricing page
CategoryObservability & Monitoring
SubcategoryLog Management & Analytics
DeploymentElastic Cloud Serverless, Elastic Cloud Hosted, Self-managed
PricingUsage-based / resource-based, with a free self-hosted option

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Log Management & Analysis
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