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OpenObserve vs Datadog: Which is Better in 2026?

Choosing between OpenObserve and Datadog comes down to understanding what each tool does best. This comparison breaks down the key differences so you can make an informed decision based on your specific needs, not marketing claims.

Bottom line: Datadog is our overall pick for monitoring workflows. Pick OpenObserve if you need data & databases.

··Methodology
Editor reviewed0 verified reviews comparedPricing checked Jun 2026

Short on time? Here's the quick answer

We've tested both tools. Here's who should pick what:

OpenObserve

Open source, petabyte-scale observability for logs, metrics, and traces at a fraction of the cost.

Best for you if:

  • • You need data & databases features specifically
  • Open-source observability for logs, metrics, and traces.
  • Achieves 140x lower storage cost and petabyte-scale performance.

Datadog

Cloud monitoring, security, and AI investigations for DevOps

Best for you if:

  • • You want to try before committing
  • • You need monitoring features specifically
  • Cloud monitoring and security platform
  • Unified observability across infrastructure
At a Glance
OpenObserveOpenObserve
DatadogDatadog
Starts at
Custom
FreeFree tier available
Best For
Data & DatabasesMonitoring
Rating
-4.4/5

Choose OpenObserve or Datadog?

OpenObserve

Choose OpenObserve if

Open source, petabyte-scale observability for logs, metrics, and traces at a fraction of the cost.

  • Significantly lower storage costs (up to 140x compared to Elasticsearch).
  • High performance and scalability, capable of handling petabytes of data.
  • Open-source nature allows for community contributions, security audits, and full control.
  • Your work is data & databases-shaped, not monitoring-shaped
Datadog

Choose Datadog if

Cloud monitoring, security, and AI investigations for DevOps

  • Comprehensive platform
  • Great visualizations
  • 700+ integrations
  • You want a free tier before you commit
  • Your work is monitoring-shaped, not data & databases-shaped
FeatureOpenObserveDatadog
Pricing ModelPaidFreemium
User RatingNo ratings yet
4.4/5
1,156 reviews
Categories
Data & DatabasesDevOps
MonitoringLog Management

In-Depth Analysis

OpenObserveOpenObserve

Open source, petabyte-scale observability for logs, metrics, and traces at a fraction of the cost.

Strengths

  • +Significantly lower storage costs (up to 140x compared to Elasticsearch).
  • +High performance and scalability, capable of handling petabytes of data.
  • +Open-source nature allows for community contributions, security audits, and full control.
  • +Unified platform for logs, metrics, and traces simplifies observability.
  • +Supports open standards and protocols for vendor-neutral integration.

Weaknesses

  • -Pricing for advanced features like AI Assistant and AI SRE Agent is currently in preview, future costs are not fully detailed.
  • -Requires some technical expertise for self-hosting and managing storage buckets.

Key features

Logs, Metrics & Traces IngestionHigh Compression (40x) and Columnar Storage (Apache Parquet)Bring Your Own Storage (S3, MinIO, GCS, Azure Blob Storage)DataFusion Query Engine for direct Parquet file queryingStateless Node Architecture for horizontal scalingResult and Disk Caching for performance at scale
Starts at Custom

DatadogDatadog

Cloud monitoring, security, and AI investigations for DevOps

Strengths

  • +Comprehensive platform
  • +Great visualizations
  • +700+ integrations

Weaknesses

  • -Complex pricing
  • -Can be expensive

Key features

Infrastructure monitoringAPMLog managementReal user monitoringSecurity monitoringML-based alerts
Starts at Free

Pricing: OpenObserve vs Datadog

PlanOpenObserveDatadog
Tier 1
Pay for what you use
Pay As You Go
Free
Free
Tier 2
Contact Sales
Enterprise
$15 /host/month (annual)
Infrastructure Pro
Tier 3N/A
$23 /host/month (annual)
Infrastructure Enterprise
Tier 4N/A
$31 /host/month (annual, with Infra)
APM
Tier 5N/A
$40 /host/month (annual, with Infra)
APM Enterprise

Pricing verified from each vendor's public pricing page. Compare in detail on OpenObserve pricing and Datadog pricing.

Who Should Use What?

On a budget?

Datadog has a free tier. OpenObserve is paid only.

Go with: Datadog

Want the highest-rated option?

Datadog is rated 4.4/5. OpenObserve has no ratings yet.

Go with: Datadog

Value user reviews?

OpenObserve: no ratings yet. Datadog: 1,156 reviews (4.4/5).

Go with: Datadog

3 Questions to Help You Decide

1

What's your budget?

OpenObserve is paid. Datadog is freemium. Datadog lets you start free.

2

What's your use case?

OpenObserve is a data & databases tool. Datadog is in monitoring. Pick the category that matches your needs.

3

How important are ratings?

Datadog is rated 4.4/5; OpenObserve has no ratings yet.

Key Takeaways

Datadog

  • Free tier available
  • Our pick for this comparison

OpenObserve

  • Better fit for data & databases

The Bottom Line

Datadog is our pick.

Frequently Asked Questions

Is OpenObserve or Datadog better?

Datadog is rated in our evaluation. OpenObserve is paid and Datadog is freemium.

What are OpenObserve and Datadog used for?

OpenObserve: Open source, petabyte-scale observability for logs, metrics, and traces at a fraction of the cost.. Datadog: Cloud monitoring, security, and AI investigations for DevOps.

What does OpenObserve cost vs Datadog?

OpenObserve is a paid tool. Datadog is freemium (free tier + paid plans). Visit their websites for detailed pricing.

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