Technology · head to head
Datadog vs Google Analytics
The short version
- Only Google Analytics 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; Google Analytics data retention limited to maximum 26 months on standard properties, with automatic deletion after retention period expires
- They diverge on capability: Datadog covers Infrastructure monitoring, Google Analytics covers Real-time analytics.
Where they differ
Only the attributes on which Datadog and Google Analytics actually diverge.
| Attribute | Datadog | Google Analytics |
|---|---|---|
| Starting price | $15/month | Free |
| Pricing model | Unknown | freemium |
| Free tier | No | Yes |
| Platforms | Web, Linux, Windows, macOS | Web |
| Category | Technology | All industries |
| Founded | 2010 | 1998 |
Identical on both: user rating (Not yet rated).
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 Google Analytics
- Real-time analytics
- Audience insights
- Acquisition tracking
- Behavior flow
- Conversion tracking
- Custom reports
- Mobile analytics
- E-commerce tracking
Both cover
- SOC2
- ISO27001
What people use each for
The jobs each tool is most often brought in to do.
Datadog
- Infrastructure monitoringnot Google Analytics
- Application performancenot Google Analytics
- Security monitoringnot Google Analytics
- Log analysisnot Google Analytics
- Cloud monitoringnot Google Analytics
Google Analytics
- Website and web application analyticsnot Datadog
- Event tracking and user behaviour analysisnot Datadog
- Traffic source and conversion trackingnot 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
Google Analytics
- Data retention limited to maximum 26 months on standard properties, with automatic deletion after retention period expires
- Large and XL properties capped at 2-month data retention only
- Age, gender, and interest data always expire after 2 months regardless of retention settings
- Free tier does not include GA360 advanced features
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
Google Analytics
FreeNo published plan breakdown. See the Google Analytics review.
Which should you pick?
Choose Datadog if
- You need infrastructure monitoring.
- You work on Web, Linux, Windows, macOS.
- You also want application performance monitoring.
Choose Google Analytics if
- You need real-time analytics.
- You want to start without paying.
- You also want audience insights.
Questions people ask
- Is Datadog or Google Analytics better?
- Neither clearly leads. Datadog starts at $15/month and Google Analytics at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Datadog or Google Analytics?
- Google Analytics has a free tier; the other does not. Paid plans start at $15/month for Datadog and Free for Google Analytics.
- Does Datadog or Google Analytics run on more platforms?
- Datadog runs on Web, Linux, Windows, macOS. Google Analytics runs on Web.
- Can I use Google Analytics for free?
- Yes. Google Analytics 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 Google Analytics is typically brought in for.
- What can Datadog do that Google Analytics cannot?
- Datadog covers Infrastructure monitoring, Application performance monitoring, Log management, Real user monitoring. Google Analytics covers Real-time analytics, Audience insights, Acquisition tracking, Behavior flow. Both handle SOC2, ISO27001.
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.
SourceDatadog: 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.
SourceDatadog: What integrations does Datadog support?
Datadog offers 1000+ built-in integrations including AWS, Kubernetes, Docker, Azure, GCP, and most major cloud platforms and services.
SourceDatadog: 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.
SourceDatadog: 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.
SourceRelated pages
More on Google Analytics
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- Google Analytics vs Greenhouse
- Google Analytics vs Notion
- Google Analytics vs Amplitude
- Google Analytics vs PostHog
- Google Analytics vs PyCharm
- Google Analytics vs Sketch
- Google Analytics vs Docker
- Google Analytics vs Netlify
- Google Analytics vs Okta
- Google Analytics vs Aha!
- Google Analytics vs Coda
- Google Analytics vs Dashlane
- Google Analytics vs GitHub
- Google Analytics vs Crazy Egg
- Google Analytics vs Ruler Analytics
- Google Analytics vs Northbeam
- Google Analytics vs VWO
- Google Analytics vs Attribution
- Google Analytics vs Countly
- Google Analytics vs Dreamdata
- Google Analytics vs Triple Whale
- Google Analytics vs AB Tasty
- Google Analytics vs Adobe Analytics
- Google Analytics vs Adverity
- Google Analytics vs Convert
- Google Analytics vs Datorama
- Google Analytics vs Fathom Analytics
- Google Analytics vs Funnel.io
- Google Analytics vs Google Optimize
- Google Analytics vs Improvado
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