Comparison

Datadog vs Groundcover

On the evidence we track, Groundcover leads this comparison with a composite score of 71/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.

Machine formatsJSONMarkdownGraphQLor send Accept: application/json
Datadog56
Groundcover71
Score
Vioscale score
Datadog56 / 100medium · 64%
Groundcover71 / 100medium · 73%
Pricing
Free tier
Datadog
Groundcover
Model
Datadogcommercial
Groundcoverfreemium
Price level
Datadogunknown
Groundcovermid
Transparent
Datadog
Groundcover
Integrations
Count
Datadog7
Groundcover9
Security
Disclosure policy
Datadog
Groundcover
Gdpr
Datadog
Groundcover
Hipaa
Datadog
Groundcover
Iso27001
Datadog
Groundcover
Pci
Datadog
Groundcover
Soc2
Datadog
Groundcover
Reliability
Status page
Datadog
Groundcover
Market
Availability

Capabilities

Feature-by-feature on the axes that matter for observability tools. “-” means undocumented, not absent.

Signals
Metrics
Datadog
Groundcover
Log management
Datadog
Groundcover
Distributed tracing
Datadog
Groundcover
Application performance monitoring
Datadog
Groundcover
Real-user monitoring
Datadog
Groundcover
Response
Alerting
Datadog
Groundcover
On-call / incident management
Datadog
Groundcover
Insight
Dashboards
Datadog
Groundcover
Standards
OpenTelemetry-native
Datadog
Groundcover
Deployment
Hosting
DatadogCloud only
GroundcoverCloud + self-hosted

What each one is

The product in its own terms, so the numbers below have context.

Datadog

A cloud-based observability and security service that integrates infrastructure monitoring, application performance tracking, log analysis, and real-user session monitoring. Designed to help teams detect issues, troubleshoot problems, and secure applications by providing a single view across metrics, traces, logs, and user interactions.

Independently observed

Groundcover

Leader

Full-stack observability for Kubernetes and cloud environments that automatically collects logs, metrics, traces, and events using eBPF technology without code changes. Deployed within your cloud infrastructure or on-premises, with AI agents to automate investigation and troubleshooting, and predictable per-host pricing model.

Independently observed

Pricing

List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.

Datadog

Subscription14-day trial
as of verify ↗

Groundcover

Leader
from $30/moSubscriptionFree tier

From $30/host/mo (Pro). Free tier available. Transparent per-host pricing with no ingestion-based charges.

  • FreeFree
    • 12 hour data retention
    • Slack Community support
    • No credit card required
  • Pro$30/host/mo
    • All available integrations and data sources
    • SSO support
    • Standard data retention
    • Standard support
    • BYOC deployment
  • Enterprise$35/host/mo
    • Everything in Pro plan
    • RBAC support
    • Unlimited data retention
    • Premium support
    • 24x7x365 on-call availability
  • On PremiseContact sales
    • Everything in Enterprise plan
    • Self-hosted data plane
    • Self-hosted UI
    • Isolated authentication
    • Full on-premises deployment
as of verify ↗

Platform & deployment

Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.

Platforms
Web
Datadog
Groundcover
iOS
Datadog
Groundcover
Android
Datadog
Groundcover
Deployment
Cloud / SaaS
Datadog
Groundcover
Self-hosted
Datadog
Groundcover
On-premise
Datadog
Groundcover
Hybrid
Datadog
Groundcover

Integrations

What each product connects to. Counts come from the vendor's own integration directory where one exists.

In common (1)
  • OpenTelemetry

Datadog

7 total - 6 not shared
  • Google Vertex AI
  • Google Cloud Security Command Center
  • Google Cloud SQL
  • Google Cloud Run
  • Dataflow
  • OpenLineage
Independently observed

Groundcover

Leader
9 total - 8 not shared
  • AWS
  • Google Cloud Platform
  • Microsoft Azure
  • AWS CloudWatch
  • Slack
  • Linear
  • MCP
  • Terraform
Independently observed

Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.