Elastic Observability vs Graylog
A detailed comparison to help you choose between Elastic Observability and Graylog.
Quick Verdict
4.1/5
Elastic Observability
249 reviews
3.9/5
Graylog
308 reviews
Elastic Observability is rated higher (4.1 vs 3.9). Unified observability platform that collects and analyzes metrics, logs, and traces from servers, applications, and services. Built for DevOps teams managing complex distributed systems. Graylog is an open source log management platform. Centralized log collection, search, and alerting. Used by enterprises self-hosting their logging infrastructure. Commercial cloud option available.
Elastic Observability Real-time visibility into infrastructure, applications, and logs | Graylog Centralized log management and analysis for infrastructure teams | |
|---|---|---|
| Overview | ||
| Rating | 4.1 (249 reviews)✓ | 3.9 (308 reviews) |
| Pricing model | freemium | freemium |
| Starting price | Free tier available | Free tier available |
| Best for | Engineering teams running Elasticsearch who need consolidated observability without additional tool licensing and can manage operational complexity. | Infrastructure teams and DevOps engineers running on-premises deployments who need centralized log analysis without vendor lock-in. |
| Tags | ||
| Tags | free tieropen sourceself hostableapi accessteam features | free tieropen sourceself hostableapi access |
| Visit Elastic Observability → | Visit Graylog → | |
Elastic Observability
Pros
- + Ingest high-volume metrics and logs without separate monitoring licenses
- + Query logs and metrics using the same Kibana interface
- + Pre-built dashboards and integrations for common platforms and services
- + Correlate infrastructure metrics with application traces for faster troubleshooting
Cons
- - Steep learning curve for Elasticsearch Query DSL and Kibana configuration
- - Self-managed deployments require significant infrastructure and operational overhead
Graylog
Pros
- + Index and search terabytes of log data with sub-second query speeds
- + Parse unstructured logs into searchable fields using extraction rules
- + Create alerts and triggers based on log patterns and thresholds
- + Self-hosted option provides full control over data and infrastructure costs
- + Visualize trends across multiple sources with customizable dashboards
Cons
- - Steeper learning curve for configuration and log parsing setup
- - Requires significant storage infrastructure for high-volume deployments
- - Community edition lacks some enterprise features like SAML and audit logging
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