Software · head to head
Datadog vs Hive
The short version
- Each has a real cost: Datadog consumption-based pricing model makes costs hard to predict and can scale quickly; Hive the free plan is capped at 200 MB of storage
- They diverge on capability: Datadog covers Infrastructure monitoring, Hive covers Tasks.
Where they differ
Only the attributes on which Datadog and Hive actually diverge.
Identical on both: free tier (No), 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 Hive
- Tasks
- Gantt view
- Kanban
- Time tracking
- Forms
- Zoom
- Google Drive
- Dropbox
Both cover
- Slack
What people use each for
The jobs each tool is most often brought in to do.
Datadog
- Infrastructure monitoringnot Hive
- Application performancenot Hive
- Security monitoringnot Hive
- Log analysisnot Hive
- Cloud monitoringnot Hive
Hive
- Project and task management with multiple project viewsnot Datadog
- Coordinating work, proofing and resourcing for teamsnot 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
Hive
- The free plan is capped at 200 MB of storage
- The Starter plan at $5 per user per month is limited to 10 projects
- Eight capabilities are sold as $5 per user add ons on the Teams plan, including CRM, timesheets, proofing, resourcing, advanced dashboards, external users and SSO
- Buying SSO plus a few of those add ons therefore costs more than the $12 base seat itself
- AI credits are metered monthly at 1,000, 3,000 and 5,000 by plan
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
Hive
On request- FreeFree
- Basic features
- 10 users
- Teams$12/month
- Unlimited users
- Time tracking
- Automations
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 Hive if
- You need tasks.
- You work on Web, Ios, Android, Desktop.
- You also want gantt view.
Questions people ask
- Is Datadog or Hive better?
- Neither clearly leads. Datadog starts at $15/month and Hive at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Datadog or Hive?
- Datadog starts at $15/month and Hive at On request.
- Does Datadog or Hive run on more platforms?
- Datadog runs on Web, Linux, Windows, macOS. Hive runs on Web, Ios, Android, Desktop.
- 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 Hive is typically brought in for.
- What can Datadog do that Hive cannot?
- Datadog covers Infrastructure monitoring, Application performance monitoring, Log management, Real user monitoring. Hive covers Tasks, Gantt view, Kanban, Time tracking. Both handle Slack.
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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- Hive vs Clockwise
- Hive vs Reclaim.ai
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- Hive vs Roadmunk
- Hive vs Toggl Plan
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- Hive vs Sunsama
- Hive vs Craft Docs
- Hive vs Freedcamp
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- Hive vs Paymo
- Hive vs Pipefy
- Hive vs Podio
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