Software · head to head
Datadog vs LaunchDarkly
The short version
- Only LaunchDarkly 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; LaunchDarkly pricing scales rapidly with monthly active users, becoming expensive at scale
- They diverge on capability: Datadog covers Infrastructure monitoring, LaunchDarkly covers Feature flags.
Where they differ
Only the attributes on which Datadog and LaunchDarkly actually diverge.
| Attribute | Datadog | LaunchDarkly |
|---|---|---|
| Starting price | $15/month | Free |
| Free tier | No | Yes |
| Platforms | Web, Linux, Windows, macOS | Web, Cloud, APIs |
| Founded | 2010 | 2014 |
Identical on both: pricing model (Unknown), user rating (Not yet rated), category (Unknown).
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 LaunchDarkly
- Feature flags
- Progressive rollouts
- User targeting
- A/B testing
- Kill switches
- Audit log
- Multi-environment
- SDKs for all platforms
Both cover
- PagerDuty
- Slack
- SOC2
- ISO27001
- HIPAA
What people use each for
The jobs each tool is most often brought in to do.
Datadog
- Infrastructure monitoringnot LaunchDarkly
- Application performancenot LaunchDarkly
- Security monitoringnot LaunchDarkly
- Log analysisnot LaunchDarkly
- Cloud monitoringnot LaunchDarkly
LaunchDarkly
- Progressive deliverynot Datadog
- Feature experimentationnot Datadog
- Risk mitigationnot Datadog
- Performance optimizationnot Datadog
- Infrastructure migrationnot 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
LaunchDarkly
- Pricing scales rapidly with monthly active users, becoming expensive at scale
- Limited seats for engineers on standard plans, forcing upgrade to enterprise
- Advanced features like experimentation and audit logs require higher-tier plans
- Occasional reliability issues and backend delays reported by users
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$0.1/gb
- Log indexing
- Search and filter
LaunchDarkly
Free- DeveloperFree
- Unlimited seats
- Unlimited feature flags
- A/B tests and experiments
- Foundation$null/mo
- $12 per connection
- $10 per 1K MAU
- Targeted segmentation
- Enterprise$null/mo
- Custom pricing
- Advanced automation
- Compliance features
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 LaunchDarkly if
- You need feature flags.
- You want to start without paying.
- You work on Web, Cloud, APIs.
- You also want progressive rollouts.
Questions people ask
- Is Datadog or LaunchDarkly better?
- Neither clearly leads. Datadog starts at $15/month and LaunchDarkly at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Datadog or LaunchDarkly?
- LaunchDarkly has a free tier; the other does not. Paid plans start at $15/month for Datadog and Free for LaunchDarkly.
- Does Datadog or LaunchDarkly run on more platforms?
- Datadog runs on Web, Linux, Windows, macOS. LaunchDarkly runs on Web, Cloud, APIs.
- Can I use LaunchDarkly for free?
- Yes. LaunchDarkly 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 LaunchDarkly is typically brought in for.
- What can Datadog do that LaunchDarkly cannot?
- Datadog covers Infrastructure monitoring, Application performance monitoring, Log management, Real user monitoring. LaunchDarkly covers Feature flags, Progressive rollouts, User targeting, A/B testing. Both handle PagerDuty, Slack, 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.
SourceLaunchDarkly: What does the free Developer plan include?
The free Developer plan includes unlimited seats, unlimited feature flags, A/B tests and experiments, 30 SDKs, 10 million logs and traces, 5,000 session replays and errors, and 14 days of data retention.
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.
SourceLaunchDarkly: How does LaunchDarkly pricing scale?
Foundation plan pricing is $12 per connection plus $10 per 1,000 Monthly Active Users (MAU). Enterprise and Guardian plans have custom pricing based on usage, advanced features, and compliance requirements.
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.
SourceLaunchDarkly: Does LaunchDarkly integrate with Jira and Slack?
Yes, LaunchDarkly integrates with Jira Cloud, allowing you to link feature flags to Jira issues and create issues from observability data. It also integrates with Slack for flag notifications and allows authorized members to trigger flag changes from Slack.
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.
SourceLaunchDarkly: What is dark launching and how does LaunchDarkly enable it?
Dark launching keeps code changes hidden in production until ready to enable. LaunchDarkly enables this through feature flags that let teams safely test code in production before rolling out to users.
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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