Home/Compare/Datadog vs Sentry

Datadog vs Sentry

Infra + APM monitoring vs developer-focused error tracking.

2 views 0 community votesCommunity winner: Sentry
Best rated
Sentry
4.7 · 1,600 reviews
Best entry price
Free tiers available
Zero-cost starting plan
Most reviewed
Datadog
1,800 verified reviews · 0 community votes
Overall winner
Sentry logo
Sentry
4.7 · 1,600 reviews

Edges ahead by 0.1 pts in overall rating across 2 compared products.

View winner
Overall rating trend
Last 6 months
Datadog logo
Datadog
1,800 reviews
4.6
+0.20
Sentry logo
Sentry
1,600 reviews
4.7
-0.05

Which one is right for you?

Quick guidance based on team size, budget and priorities.

Choose Datadog if…
  • You're one of buyers that need dedicated support and SLAs.
  • You're one of products where end-user adoption is critical.
  • You're one of self-serve teams without a procurement process.
Datadog
4.6
Learn more
Choose Sentry if…
  • You're one of orgs standardizing across many departments.
  • You're one of .
Sentry
4.7
Learn more

Product comparison

Comparing 2 products

Datadog logo

Datadog

A unified observability and security platform for monitoring dynamic cloud-scale environments.

4.6
(1,800)
Sentry logo

Sentry

A developer-centric platform for real-time error tracking and comprehensive application performance monitoring.

4.7
(1,600)
Winner
Ratings & reviews
Overall rating
4.6
4.7
Review volume
1,800
1,600
Community preference
0%
0%
Key features
Featured by editors
Not available
Not available
Public pricing
Not available
Not available
Free tier available
Not available
Not available
Self-serve signup
Not available
Not available
Pricing modelSubscriptionSubscription
Pricing
Starting at

Contact sales

Custom enterprise

Contact sales

Custom enterprise

Resources
Official links
Editor's verdict

Infra + APM monitoring vs developer-focused error tracking.

Capability deep-dive

Feature parity across deployment, security, support and integrations.

Deployment & Access

Cloud-hosted (SaaS)
Yes
Yes
Self-serve signup
No
No
Mobile / native apps
No
Yes
Public API access
Yes
Yes

Security & Compliance

SSO / SAML
Yes
Yes
SOC 2 Type II
Yes
Yes
GDPR-ready
Yes
Yes
Role-based permissions
Yes
Yes

Support & Onboarding

24/7 support
Yes
Yes
Dedicated CSM
No
No
Guided onboarding
Yes
Yes
Knowledge base
Yes
Yes

Integrations & Extensibility

Zapier / Make
Yes
Yes
Webhooks
Yes
Yes
Marketplace / apps
Yes
Yes
Custom scripting / SDK
Yes
Yes

Best for

Segment
Datadog
Sentry
Startups
Fair
Fair
Mid-market
Excellent
Excellent
Enterprise
Excellent
Excellent
Regulated
Excellent
Excellent
Rating distribution
Datadog
1,800 reviews · 4.6
5
52%
4
37%
3
6%
2
4%
1
1%
Sentry
1,600 reviews · 4.7
5
53%
4
35%
3
8%
2
3%
1
1%

Datadog vs Sentry — FAQ

Is Datadog better than Sentry?+

Based on aggregated reviews, Sentry scores 4.7/5 across 1,600 reviews vs 4.6/5 for Datadog. The gap is meaningful but the right choice depends on your workflow — see the "Choose if…" panels above.

How much does Datadog cost compared to Sentry?+

Both products offer starter tiers with no upfront cost. Real spend depends on seats, usage and add-on features, so run a 14-day pilot before committing.

Can I switch from Datadog to Sentry?+

Yes. Both platforms provide export tooling and open APIs. Plan for a data migration window (typically 1–3 weeks), user re-training, and a parallel-run period so power users aren't left stranded.

Which one is easier to get started with?+

Sentry offers a self-serve free entry point, which usually means faster time-to-value. Enterprise-oriented options require a sales conversation but include hands-on onboarding.

Do Datadog and Sentry integrate with the same tools?+

There's meaningful overlap — both plug into common productivity and analytics stacks. Check the Integrations matrix above for the specific connectors and API surface you need.

Bottom line

Sentry takes the edge on aggregated user sentiment (4.7★ vs 4.6★) and is the safer default for teams that value polish and community volume. Pick Datadog if your priorities lean toward zero-cost adoption, self-serve teams, and fastest time-to-value. Whichever you pick, run a 14-day pilot with a real dataset before rolling out.