Technology · head to head
Datadog vs TeamCity

TeamCity
Software Development
JetBrains continuous integration and delivery server
- From
- Free
- Rated
- -
The short version
- Only TeamCity 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; TeamCity detailed pricing requires visiting a calculator and isn't transparent on the main pricing page.
- They diverge on capability: Datadog covers Infrastructure monitoring, TeamCity covers Build Chains.
Where they differ
Only the attributes on which Datadog and TeamCity actually diverge.
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 TeamCity
- Build Chains
- Parallel Test Execution
- VCS Integration
- Build History & Analytics
- Docker & Kubernetes Support
- Access Control
What people use each for
The jobs each tool is most often brought in to do.
Datadog
- Infrastructure monitoringnot TeamCity
- Application performancenot TeamCity
- Security monitoringnot TeamCity
- Log analysisnot TeamCity
- Cloud monitoringnot TeamCity
TeamCity
- Running build and test pipelines for enterprise software teamsnot Datadog
- Self-hosting CI/CD infrastructure behind a firewallnot Datadog
- Coordinating multi-stage build chains with dependenciesnot Datadog
- Scaling build capacity with additional agentsnot 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
TeamCity
- Detailed pricing requires visiting a calculator and isn't transparent on the main pricing page.
- Self-hosted setup and agent management require more operational overhead than fully managed CI/CD services.
- Additional build agents and users are priced incrementally, which can add up for larger teams.
- The UI and configuration model have a steeper learning curve compared to YAML-first CI tools.
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$0.1/gb
- Log indexing
- Search and filter
TeamCity
Free- Free TierFree
- Includes 3 build agents
- 100 build configurations
- On-premises or Cloud
- TeamCity Cloud / On-Premises$undefined/month
- Priced per additional build agent
- Additional users on Cloud plans
- Enterprise support options
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 TeamCity if
- You need build chains.
- You want to start without paying.
- You work on web, windows, mac, linux, api.
- You also want parallel test execution.
Questions people ask
- Is Datadog or TeamCity better?
- Neither clearly leads. Datadog starts at $15/month and TeamCity at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Datadog or TeamCity?
- TeamCity has a free tier; the other does not. Paid plans start at $15/month for Datadog and Free for TeamCity.
- Does Datadog or TeamCity run on more platforms?
- Datadog runs on Web, Linux, Windows, macOS. TeamCity runs on web, windows, mac, linux, api.
- Can I use TeamCity for free?
- Yes. TeamCity 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 TeamCity is typically brought in for.
- What can Datadog do that TeamCity cannot?
- Datadog covers Infrastructure monitoring, Application performance monitoring, Log management, Real user monitoring. TeamCity covers Build Chains, Parallel Test Execution, VCS Integration, Build History & Analytics.
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
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- TeamCity vs Factory
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