Datadog vs. Sentry

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Datadog
Score 8.4 out of 10
N/A
Datadog is a monitoring service for IT, Dev and Ops teams who write and run applications at scale, and want to turn the massive amounts of data produced by their apps, tools and services into actionable insight.
$1.27
per month (billed annually) per host
Sentry
Score 9.1 out of 10
N/A
Sentry provides engineering teams with tools to detect and solve user-impacting bugs and other issues.
$26
per month
Pricing
DatadogSentry
Editions & Modules
Log Management
$1.27
per month (billed annually) per host
Infrastructure
$15.00
per month (billed annually) per host
Standard
$18
per month per host
Enterprise
$27
per month per host
DevSecOps Pro
$27
per month per host
APM
$31.00
per month (billed annually) per host
DevSecOps Enterprise
$41
per month per host
Team
$26
per month
Business
$80
per month
Developer
Free
Enterprise
Contact sales team
Offerings
Pricing Offerings
DatadogSentry
Free Trial
YesYes
Free/Freemium Version
YesYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeOptionalNo setup fee
Additional DetailsDiscount available for annual pricing. Multi-Year/Volume discounts available (500+ hosts/mo).
More Pricing Information
Community Pulse
DatadogSentry
Best Alternatives
DatadogSentry
Small Businesses
InfluxDB
InfluxDB
Score 8.8 out of 10
GitLab
GitLab
Score 8.7 out of 10
Medium-sized Companies
Sumo Logic
Sumo Logic
Score 9.4 out of 10
GitLab
GitLab
Score 8.7 out of 10
Enterprises
NetBrain Technologies
NetBrain Technologies
Score 9.2 out of 10
GitLab
GitLab
Score 8.7 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
DatadogSentry
Likelihood to Recommend
9.0
(0 ratings)
8.3
(0 ratings)
Usability
10.0
(0 ratings)
-
(0 ratings)
Support Rating
8.9
(0 ratings)
-
(0 ratings)
User Testimonials
DatadogSentry
Likelihood to Recommend
A one-stop solution for everything you need. Multiple functionalities are tailored to meet specific business needs. Logs are essential for any business, and Datadog manages logs effectively. Rum sessions are something new to me and have given us a new perspective on how to reverse engineer issues that we see for our customers.
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[Sentry] is honestly an amazing product. It allows us to detect errors in real time complete with stack traces and any extra accompanying information the developer wants to provide in the alert. With the alerting into Slack it has allowed us to quickly triage and tag in people who need eyes on a specific issue. It would be really useful in any Saas product environment.
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Pros
  • Create Dashboards as per application, environments, and Custom metrics in one panel.
  • Log aggregation, one-stop Application monitoring tools for the whole infrastructure.
  • Playbooks, SLA definition, success and error quotas, request visualizations.
  • DB monitoring, Serverless stack monitoring.
  • Alerting of Production incidents so we can quickly resolve the issues on time.
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  • It collects very detailed information on problems that happen to our users while using the platform
  • It supplies very good tools in order to aggregate the collected data and analyze it
  • It integrates with Slack, making it easier to "monitor it in real time"
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Cons
  • Alert windows cause lag in notifications (e.g. if the alert window is X errors in 1 hour, we won't get alerted until the end of the 1 hour range)
  • I would appreciate more supportive examples for how to filter and view metrics in the explorer
  • I would like a more clear interface for metrics that are missing in a time frame, rather than only showing tags/etc. for metrics that were collected within the currently viewed time frame
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  • if we could decrease the costing via some kind of sampling of errors.
  • sometimes same error is in loop and Sentry will count all the events for pricing if there is any way this can be reduced.
  • self hosted capabilities or using own storage to reduce cost.
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Usability
Datadog's user interface is quite friendly and easy to navigate. With menus clearly categorized, and ability to bookmark important dashboards, one can easily find what they're looking for. For dashboards, ability to move and resize visualizations and group them, is really helpful to organize dashboards. Automatic suggestions from Datadog for important visualizations based on the metrics and logs would provide another level of ease of use.
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No answers on this topic
Support Rating
The support team usually gets it right. We did have a rather complicate issue setting up monitoring on a domain controller. However, they are usually responsive and helpful over chat. The downside would be I don’t think they have any phone support. If that is important to you this might not be a good fit.
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No answers on this topic
Alternatives Considered
I selected Datadog because of its features and the wide range of integration support. As I already told it supports more that 600+ integrations which helps and organization to keep everything in a single place and also its AI feature which is reducing the time for root cause analysis. Its custom dashboards features which helps us to visualize the data in a more attractive way.
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We actually ended up using both because New Relic is a more robust overall IT infrastructure monitoring product. However, sentry is more developer oriented on the backend and more client friendly on the front end as far as showing results and the dashboard etc. It can provide product level insights that New Relic does not.
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Return on Investment
  • Saved us (time & money) from developing our own monitoring utilities that would pale in comparison
  • Alerts allow us to remedy issues before our customers even know about them
  • Tracking resource usage over time allows us to better plan for future needs, before it becomes a pain-point.
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  • Error tracking is a must in any modern dynamic website or app. By looking into the error notifications I'm able to fix errors before anyone even has a chance to complain about them!
  • Surprisingly, many website issues aren't showing up in Sentry, because they don't trigger exceptions. I'm interested in seeing if I can use Sentry to catch manually-triggered exceptions for "undesirable states" that my website can find itself in. Of course, that means I have to figure out how to have my client code recognize that it's in an undesirable state...
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ScreenShots

Datadog Screenshots

Screenshot of the out-of-the-box and customizable monitoring dashboards.Screenshot of Datadog's collaboration features, where users can discuss issues in-context with production data, annotate changes and notify their teams, see who responded to that alert before, and discover what was done to fix it.Screenshot of where Datadog unifies traces, metrics, and logs—the three pillars of observability.Screenshot of some of Datadog's 400+ built-in integrations.Screenshot of Datadog's Service Map, which decomposes an application into all its component services and draws the observed dependencies between these services in real timeScreenshot of centralized log data, pulled from any source.