Dynatrace vs GitHub
Compare Dynatrace and GitHub on features, pricing, and buyer fit using the same researched criteria.
Dynatrace
Enterprise observability — Dynatrace Platform Subscription (DPS) annual commit + rate card. Full-Stack list unit ~$58/mo per 8 GiB host; 15-day trial. No per-seat SKU.
Best for
- • Enterprises that will sign a DPS commit and deploy OneAgent broadly
- • SRE teams that want full-stack APM plus Davis AI in one platform
- • Buyers who already rejected per-host Datadog module math
Starting from $58.00/user/mo
No free plan
VS
Our verdict
No universal winner. Choose based on which criteria matter most for your team.
GitHub is better for
- ✓ Starting pricing
- ✓ Free plan
- ✓ Integrations
Tie
- • Security & admin
Choose Dynatrace if: Enterprises that will sign a DPS commit and deploy OneAgent broadly
Choose GitHub if: Software teams needing Git source control as the system of record
GitHub
Source control and DevOps platform — free tier for public/seats; Team $4/user/mo; Enterprise $21/user/mo on annual billing.
Best for
- • Software teams needing Git source control as the system of record
- • Organizations standardising on Actions for CI/CD alongside repos
- • Enterprises needing audit/SSO governance on code
Starting from $4.00/user/mo
Free plan available
Dynatrace vs GitHub at a glance
Criterion-level leaders from verified research.
Scorecard preview
Criterion leaders based on verified research — open the Scorecard tab for evidence detail.
- Starting pricingGitHub
Dynatrace
GitHub
- Free planGitHub
Dynatrace
GitHub
- User / licence minimumDepends
Dynatrace
GitHub
- IntegrationsGitHub
Dynatrace
GitHub
- Security & adminTie
Dynatrace
GitHub
Which It Development is better for you?
Quick picks based on fit — not a universal ranking.
- → GitHub
Best for starting pricing
GitHub publishes a lower researched starting floor ($4/mo vs $58/mo for Dynatrace). Confirm currency, renewals, and add-ons — not a total TCO winner.
- → GitHub
Best for free plan
Dynatrace does not research a free plan; GitHub researches a free plan.
- → GitHub
Best for integrations
GitHub leads on integrations (8/10 vs 10/10) from approved SoftwareGlimpse editorial assessments — not hands-on lab testing.
The biggest differences
Where the products diverge most clearly on verified criteria.
Starting pricing
GitHub winsDynatrace
Trails GitHub on this criterion
GitHub
GitHub publishes a lower researched starting floor ($4/mo vs $58/mo for Dynatrace). Confirm currency, renewals, and add-ons — not a total TCO winner.
Free plan
GitHub winsDynatrace
Trails GitHub on this criterion
GitHub
Dynatrace does not research a free plan; GitHub researches a free plan.
Integrations
GitHub winsDynatrace
Trails GitHub on this criterion
GitHub
GitHub leads on integrations (8/10 vs 10/10) from approved SoftwareGlimpse editorial assessments — not hands-on lab testing.
Which should you choose?
Choose Dynatrace if
- Enterprises that will sign a DPS commit and deploy OneAgent broadly
- SRE teams that want full-stack APM plus Davis AI in one platform
- Buyers who already rejected per-host Datadog module math
Choose GitHub if
- Software teams needing Git source control as the system of record
- Organizations standardising on Actions for CI/CD alongside repos
- Enterprises needing audit/SSO governance on code
Related comparisons
Alternatives to consider
Datadog
Observability suite — infrastructure, APM, logs, and security signals with consumption/host pricing; Infrastructure Pro from $15/host/mo annual.
New Relic
Observability — Free 100 GB ingest + 1 full user; Standard from $10 first full user then $99; data $0.40/GB after 100 GB; Pro $349/full user annual.
Freshservice
Freshworks ITSM service desk — Starter $19, Growth $49, Pro $99 agent/mo annual. ITSM landscape; no cross-cluster comparisons.
Grafana Cloud
Managed Grafana observability — Free 10k series / 50 GB logs; Pro from $19/mo platform fee + usage ($6.50/1k series, $8/user).
How we compare
A short look at the comparison process. Full methodology
1
Collect
Collect official product information, pricing, and product evidence.
2
Normalize
Map evidence to the same category evaluation criteria for both products.
3
Compare
Evaluate both products against identical criteria — ties and depends are allowed.
4
Explain
Show why each product wins, loses, or ties, with evidence behind the outcome.
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- No invented scores or prices
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