Datadog vs. UXCam App Analytics

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
UXCam App Analytics
Score 9.0 out of 10
N/A
UXCam promises a thorough qualitative analysis of your app - every session, every screen and every user. The vendor says key benefits and capabilities include: Use Session Analysis to test assumptions about your app’s most important features and pinpoint user experience issues right where they occur. Use Screen UX analysis to understand the impact of every screen and increase conversion. Use User Analysis to gain a deep understanding of…N/A
Pricing
DatadogUXCam App Analytics
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
No answers on this topic
Offerings
Pricing Offerings
DatadogUXCam App Analytics
Free Trial
YesNo
Free/Freemium Version
YesNo
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
DatadogUXCam App Analytics
User Ratings
DatadogUXCam App Analytics
Likelihood to Recommend
9.0
(0 ratings)
9.0
(0 ratings)
Usability
10.0
(0 ratings)
-
(0 ratings)
Support Rating
8.9
(0 ratings)
-
(0 ratings)
User Testimonials
DatadogUXCam App Analytics
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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App is well suited for analyzing the customer behavior and flows. It helps in tracking the user funnel on the app. It can record the sessions so its helpful in qualitative research and analysis.

Secondly, it's very helpful in monitoring the performance of the app across different devices, analytics, etc. It helps in analyzing the frozen or crashed sessions.
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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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  • User flow mapping. It shows how users are navigating in the app.
  • App crashes
  • User session recordings
  • Segmentation on devices, OS versions, processors etc
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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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  • Loading time is high due to which we have to wait a lot sometimes
  • In heatmaps, more properties can be added eg. User cohort, experiment id
  • Provide filters to easily check the recordings by screen and feature dropoffs
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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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The pricing for UXCam App Analytics was promising and within our budgets. Reaching out to UXCam team was easy and within a week they presented the key features along with customisable pricing subscriptions we can opt for. The feedback around UXCam App Analytics was also positive as we checked from outside organisations. UXcam team also helped around integration with the tech team to make it swift.
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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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  • Improved conversions and funnels
  • Better user experience and NPS
  • Achieving our ambitious yearly targets well before year end
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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.

UXCam App Analytics Screenshots

Screenshot of User Analysis