observability.fyi

Elasticsearch (ELK) vs Datadog Metrics

A detailed comparison of two leading observability platforms.

El

Elasticsearch (ELK)

Distributed search and analytics engine

8.8/10
Da

Datadog Metrics

Cloud-scale metrics monitoring

9.2/10
Overview

Who is each tool for?

El

Elasticsearch (ELK)

Organizations needing powerful full-text search and log analytics

Da

Datadog Metrics

Enterprises needing scalable metrics with extensive integrations

Analysis

Pros and Cons

El

Elasticsearch (ELK)

Pros

  • Powerful full-text search
  • Highly scalable architecture
  • Rich ecosystem (ELK Stack)
  • Flexible schema and queries

Cons

  • Resource-intensive operation
  • Complex cluster management
  • Licensing changes caused concerns
Full review
Da

Datadog Metrics

Pros

  • 700+ out-of-box integrations
  • Powerful anomaly detection
  • Excellent visualization options
  • Seamless cloud provider integration

Cons

  • Can become expensive at scale
  • Custom metrics pricing adds up
  • Vendor lock-in concerns
Full review
Ratings

Feature Comparison

Feature
El
Elasticsearch (ELK)
Da
Datadog Metrics
APM
6
7
Log Management
9.5
6
Infrastructure Monitoring
7.5
9.5
Alerting
7.5
9
Integrations
8.5
10
Ease of Use
6.5
8.5
Support
8
8.5
Value for Money
8
7.5
Overall Score
8.8
9.2
Investment

Pricing

El

Elasticsearch (ELK)

Free / Cloud from $95/mo

Pricing varies by data volume and features. Contact Elasticsearch (ELK) for a custom quote.

Da

Datadog Metrics

From $15/host/mo

Pricing varies by data volume and features. Contact Datadog Metrics for a custom quote.

Conclusion

Our Verdict

Both Elasticsearch (ELK) and Datadog Metrics are excellent observability platforms. Datadog Metrics edges ahead with a score of 9.2/10, particularly excelling in APM and Infrastructure Monitoring.