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Software · head to head

Datadog vs Elasticsearch

Datadog logo

Datadog

Software

Modern monitoring & security

From
$15/month
Rated
-
Full reviewWebsite
Elasticsearch logo

Elasticsearch

Software

The heart of the Elastic Stack for search and analytics

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only Elasticsearch has a free tier, so it costs nothing to try first.
  • Each has a real cost: Datadog consumption-based pricing model makes costs hard to predict and can scale quickly; Elasticsearch eventual consistency model with 1-second default refresh interval, not suitable for real-time transactional requirements
  • They diverge on capability: Datadog covers Infrastructure monitoring, Elasticsearch covers Full-text Search.

Where they differ

Only the attributes on which Datadog and Elasticsearch actually diverge.

Attributes where Datadog and Elasticsearch differ
AttributeDatadogElasticsearch
Starting price$15/monthFree
Free tierNoYes
PlatformsWeb, Linux, Windows, macOSLinux, Windows, macOS, Docker, Kubernetes

Identical on both: pricing model (Unknown), user rating (Not yet rated), category (Unknown), founded (2010).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Datadog

  • Infrastructure monitoring
  • Application performance monitoring
  • Log management
  • Real user monitoring
  • Synthetic monitoring
  • Security monitoring
  • Network monitoring
  • Serverless monitoring

Only in Elasticsearch

  • Full-text Search
  • Real-time Analytics
  • Distributed Architecture
  • RESTful API
  • Schema-free JSON
  • Aggregations
  • Machine Learning
  • Kibana

What people use each for

The jobs each tool is most often brought in to do.

Datadog

  • Infrastructure monitoringnot Elasticsearch
  • Application performancenot Elasticsearch
  • Security monitoringnot Elasticsearch
  • Log analysisnot Elasticsearch
  • Cloud monitoringnot Elasticsearch

Elasticsearch

  • Real-time applicationsnot Datadog
  • Content managementnot Datadog
  • User profilesnot Datadog
  • Mobile backendsnot Datadog
  • Cachingnot Datadog

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Datadog

  • Consumption-based pricing model makes costs hard to predict and can scale quickly
  • Add-on modules significantly increase costs: custom metrics, indexed spans, extended retention
  • No free tier for production monitoring
  • High costs for organizations with large amounts of log data or high-cardinality metrics

Elasticsearch

  • Eventual consistency model with 1-second default refresh interval, not suitable for real-time transactional requirements
  • No support for ACID transactions or rollbacks; updates delete and re-insert documents
  • JVM-dependent architecture requires careful memory management and monitoring to prevent garbage collection issues at scale

Pricing, plan by plan

Datadog

$15/month
  • Infrastructure Monitoring$15/month
    • Host monitoring
    • Basic dashboards
  • APM$31/month
    • Application performance monitoring
    • Trace collection
  • Log Management$0.1/gb
    • Log indexing
    • Search and filter

Elasticsearch

Free
  • Self-ManagedFree
    • Open source
    • Self-hosted
  • Elasticsearch Cloud$16.4/month
    • Managed service
    • 14-day free trial

Which should you pick?

Choose Datadog if

  • You need infrastructure monitoring.
  • You work on Web, Linux, Windows, macOS.
  • You also want application performance monitoring.
Datadog review

Choose Elasticsearch if

  • You need full-text search.
  • You want to start without paying.
  • You work on Linux, Windows, macOS, Docker, Kubernetes.
  • You also want real-time analytics.
Elasticsearch review

Questions people ask

Is Datadog or Elasticsearch better?
Neither clearly leads. Datadog starts at $15/month and Elasticsearch at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Datadog or Elasticsearch?
Elasticsearch has a free tier; the other does not. Paid plans start at $15/month for Datadog and Free for Elasticsearch.
Does Datadog or Elasticsearch run on more platforms?
Datadog runs on Web, Linux, Windows, macOS. Elasticsearch runs on Linux, Windows, macOS, Docker, Kubernetes.
Can I use Elasticsearch for free?
Yes. Elasticsearch has a free tier, so you can try it without paying. Datadog starts at $15/month.
What is Datadog best used for?
Datadog is most often used for infrastructure monitoring, application performance, security monitoring, log analysis. Of those, infrastructure monitoring and application performance are not what Elasticsearch is typically brought in for.
What can Datadog do that Elasticsearch cannot?
Datadog covers Infrastructure monitoring, Application performance monitoring, Log management, Real user monitoring. Elasticsearch covers Full-text Search, Real-time Analytics, Distributed Architecture, RESTful API.

Answered from the vendors’ own pages

Datadog: How is Datadog pricing structured?

Datadog uses consumption-based pricing tied to data volume ingested, hosts monitored, and products enabled. Infrastructure Monitoring starts at $15/host/month, APM at $31/host/month, and Log Management at $0.10/GB for indexed logs.

Source
Elasticsearch: Is Elasticsearch free?

Yes, Elasticsearch can be deployed as free and open-source software for self-managed installations. Elastic Cloud managed service starts at $16.40 per month, with a free 14-day trial available.

Source
Datadog: Does Datadog offer a free tier?

Datadog offers a free trial but not a permanent free tier for production monitoring. Pricing begins with paid plans only.

Source
Elasticsearch: Can I use Elasticsearch without Kibana?

Yes, Elasticsearch is a search engine independent of Kibana. Kibana is a visualization and analytics tool that works with Elasticsearch but is optional. You can use the Elasticsearch API directly for searching.

Source
Datadog: What integrations does Datadog support?

Datadog offers 1000+ built-in integrations including AWS, Kubernetes, Docker, Azure, GCP, and most major cloud platforms and services.

Source
Elasticsearch: Does Elasticsearch support real-time indexing?

Elasticsearch indexes data with a refresh interval, typically 1 second. Data becomes searchable after the refresh cycle, making it near-real-time but not instantaneous. This can be configured but impacts performance.

Source
Datadog: Can Datadog monitor Kubernetes clusters?

Yes. The Datadog Agent runs as a DaemonSet to provide real-time visibility into pods, nodes, deployments, and control-plane health across major Kubernetes distributions including EKS, AKS, GKE, OpenShift, and others.

Source
Elasticsearch: What are Elasticsearch's scaling limitations?

Elasticsearch requires careful operational management at scale, including shard balancing, heap sizing, and monitoring. Large clusters can suffer from garbage collection issues and become expensive to operate.

Source
Datadog: How can I reduce Datadog costs?

Datadog bills based on indexed logs, custom metrics, and high-cardinality tags. Costs can be unpredictable and may run 2-3x estimates. Prepaying annually can secure 5-15% discounts.

Source
Elasticsearch: Does Elasticsearch support transactions and rollbacks?

No, Elasticsearch does not support ACID transactions or rollbacks. Updates are expensive operations that delete and re-insert documents, making it unsuitable for transactional workloads.

Source
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