Technology · head to head
GitHub vs Datadog
The short version
- Only GitHub has a free tier, so it costs nothing to try first.
- Each has a real cost: GitHub acquired by Microsoft in 2018, reducing pure independence despite operational autonomy; Datadog consumption-based pricing model makes costs hard to predict and can scale quickly
- They diverge on capability: GitHub covers Git repositories, Datadog covers Infrastructure monitoring.
Where they differ
Only the attributes on which GitHub and Datadog actually diverge.
Identical on both: user rating (Not yet rated), category (Technology).
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 GitHub
- Git repositories
- Pull requests
- Code review
- Issues & projects
- GitHub Actions CI/CD
- GitHub Pages
- Security scanning
- Dependency management
Only in Datadog
- Infrastructure monitoring
- Application performance monitoring
- Log management
- Real user monitoring
- Synthetic monitoring
- Security monitoring
- Network monitoring
- Serverless monitoring
Both cover
- Slack
- Jenkins
- Docker
- AWS
- Azure
- SOC2
- ISO27001
What people use each for
The jobs each tool is most often brought in to do.
GitHub
- Version controlnot Datadog
- Code collaborationnot Datadog
- CI/CD pipelinesnot Datadog
- Project managementnot Datadog
- Documentation hostingnot Datadog
Datadog
- Infrastructure monitoringnot GitHub
- Application performancenot GitHub
- Security monitoringnot GitHub
- Log analysisnot GitHub
- Cloud monitoringnot GitHub
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
GitHub
- Acquired by Microsoft in 2018, reducing pure independence despite operational autonomy
- Primary focus on source control differs from purpose-built project management tools like Jira
- Pricing for enterprise features and private repositories adds up compared to some self-hosted alternatives
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
Pricing, plan by plan
GitHub
Free- FreeFree
- Unlimited public/private repos
- 2,000 CI/CD minutes/month
- 500MB package storage
- Team$4/month
- Everything in Free
- 3,000 CI/CD minutes/month
- 2GB package storage
- Enterprise$21/month
- Everything in Team
- 50,000 CI/CD minutes/month
- 50GB package storage
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
Which should you pick?
Choose GitHub if
- You need git repositories.
- You want to start without paying.
- You work on Web, Desktop, Mobile.
- You also want pull requests.
Choose Datadog if
- You need infrastructure monitoring.
- You work on Web, Linux, Windows, macOS.
- You also want application performance monitoring.
Questions people ask
- Is GitHub or Datadog better?
- Neither clearly leads. GitHub starts at Free and Datadog at $15/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, GitHub or Datadog?
- GitHub has a free tier; the other does not. Paid plans start at Free for GitHub and $15/month for Datadog.
- Does GitHub or Datadog run on more platforms?
- GitHub runs on Web, Desktop, Mobile. Datadog runs on Web, Linux, Windows, macOS.
- Can I use GitHub for free?
- Yes. GitHub has a free tier, so you can try it without paying. Datadog starts at $15/month.
- What is GitHub best used for?
- GitHub is most often used for version control, code collaboration, ci/cd pipelines, project management. Of those, version control and code collaboration are not what Datadog is typically brought in for.
- What can GitHub do that Datadog cannot?
- GitHub covers Git repositories, Pull requests, Code review, Issues & projects. Datadog covers Infrastructure monitoring, Application performance monitoring, Log management, Real user monitoring. Both handle Slack, Jenkins, Docker, AWS.
Answered from the vendors’ own pages
GitHub: What is a Git repository and how does GitHub use it?
A repository is the centralized database that stores the complete collection of files and folders for a codebase, along with the revision history. GitHub uses Git to provide distributed version control access to repositories with version tracking, branching, and collaboration features.
SourceDatadog: 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.
SourceGitHub: How does GitHub authentication work?
When you connect to a GitHub repository from Git, you need to authenticate with GitHub using either HTTPS or SSH. GitHub supports multiple authentication methods including passwords, personal access tokens, SSH keys, and GitHub Apps.
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.
SourceGitHub: How long has GitHub been operating?
GitHub was founded in 2008 and launched publicly on April 10, 2008, making it the dominant git hosting platform for nearly two decades.
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.
SourceGitHub: Who owns GitHub and when did the acquisition occur?
Microsoft acquired GitHub for $7.5 billion USD, with the deal announced June 4, 2018 and completed October 26, 2018. GitHub operates as an independent subsidiary within Microsoft.
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.
Source