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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 wins this matchup. Our overall Monitoring pick is Better Uptime. Our free Monitoring pick is Spiceworks. Pick OpenObserve if you need data & databases.

··Methodology
Editor reviewed0 verified reviews comparedPricing checked Sep 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 want significantly lower storage costs (up to 140x compared to Elasticsearch)
  • You want high performance and scalability, capable of handling petabytes of data

Datadog

Cloud monitoring, security, and AI investigations for DevOps

Best for you if:

  • You want a free tier before you commit
  • You want comprehensive platform
  • You want great visualizations
At a Glance
OpenObserveOpenObserve
DatadogDatadog
Starts at
Custom
FreeFree tier available
Best For
Data & DatabasesMonitoring
Rating
-4.4/5
Free plan
No Yes

Choose OpenObserve or Datadog?

OpenObserve

Choose OpenObserve if

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

  • You want significantly lower storage costs (up to 140x compared to Elasticsearch)
  • You want high performance and scalability, capable of handling petabytes of data
  • Your work is data & databases-shaped, not monitoring-shaped
Datadog

Choose Datadog if

Cloud monitoring, security, and AI investigations for DevOps

  • You want a free tier before you commit
  • You want comprehensive platform
  • You want great visualizations
  • Your work is monitoring-shaped, not data & databases-shaped
FeatureOpenObserveDatadog
Pricing ModelPaidFreemium
User RatingNo ratings yet
4.4/5
726 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.

Starts at Custom
Good value

OpenObserve's Pay As You Go model offers a fair and transparent pricing structure, especially for ingestion at $0.50 per GB and querying at $0.01 per GB, which can be competitive for high-volume users.

Watch out

Audit Trail is 2% of monthly spend.

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

DatadogDatadog

Cloud monitoring, security, and AI investigations for DevOps

Starts at Free
Fair value

Datadog is the most comprehensive observability platform, infrastructure monitoring, APM, logs, RUM, security, and 750+ integrations in one place.

Watch out

APM requires Infrastructure Monitoring on the SAME hosts: you cannot buy APM alone. APM Pro ($35/host) + Infra Pro ($15/host) = $50/host minimum. Most pricing pages only show the APM price

Strengths

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

Weaknesses

  • -Complex pricing
  • -Can be expensive

Key features

Infrastructure monitoringAPMLog managementReal user monitoringSecurity monitoringML-based alerts

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: 726 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 wins this matchup. Our overall Monitoring pick is Better Uptime. Our free Monitoring pick is Spiceworks.

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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