Datadog vs. Goliath Performance Monitor

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
Goliath Performance Monitor
Score 10.0 out of 10
N/A
Goliath Performance Monitor is an IT infrastructure monitoring platform from Goliath Technologies in Conshohocken, Pennsylvania.N/A
Pricing
DatadogGoliath Performance Monitor
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
DatadogGoliath Performance Monitor
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
DatadogGoliath Performance Monitor
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User Ratings
DatadogGoliath Performance Monitor
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
DatadogGoliath Performance Monitor
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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GPM is well suited to environments where there is a high volume of Citrix traffic coupled with a lot of different hardware infrastructure endpoints. Large scale multi-user operations where performance issue detection and resolution are key are the primary areas where GPM excels. Use of the GPM product is less appropriate when trying to monitor response times in a JVM application 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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  • GPM does exceptionally well at gathering and presenting deep metrics from our Citrix servers and storing them in the GPM database server. This is a vital strength for any system monitoring tool and allows administrators to address almost any system related performance question.
  • The MonitorIT front end console does a great job of providing graphical views the summarize data from a multitude of locations. This is particularly important in that it allows administrators to focus in on the reasons for performance issues in a proactive manner before hearing from the end users, especially given the large volumes of detailed data captured by the system
  • The MonitorIT product is also very adept at gathering metrics across the processing continuum, providing metrics for system resources, service availability and end-to-end user activity. This is a great strength of the system and allows us to develop Tableau visualizations in addition to the extensive reports and dashboarding capabilities of the GPM product.
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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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  • From a purely personal level I would like to see MonitorIT be able to consume data from our clinical/operational databases instead of relying only on taking data in via the agent, log files and scripted sysoutput.
  • I think some improvements are possible in the area of custom monitoring of file systems, especially for the detection of missing file scenarios and file volume/rates. GPM only monitors traditional file system metrics like I/O, availability and space utilization, but custom scripting is possible within the design of the system.
  • Improvements in documenting the data model of the GPM database schema would also be very useful to advanced users of the system especially when additional external reporting tools are used to extend the GPM usefulness
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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 eventually settled on GPM because of its very obvious strength and depth with Citrix monitoring. Our entire clinical system is deployed over a Citrix infrastructure so it was essential to choose a system whose key focus was Citrix monitoring. GPM's functionality is unrivaled when it comes to Citrix monitoring which is immediately apparent when one witnesses the deep internals of the Citrix platform being collected and reported on, in close to real-time.
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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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  • GPM has had a decent positive ROI particularly in terms of identifying systemic issues and prevention of system downtimes or resource depletion etc. The GPM product shines a spotlight on configuration and design flaws and as a result makes the systems more stable and responsive, saving us time and effort in diagnosing and reporting on system problems. unfortunately these are quite intangible but nevertheless invaluable business objectives for us, but we can say that downtimes and slowness events have dropped consistently year on year since we deployed GPM.
  • Our overall objectives with the GPM project was to deploy a system that could be deployed centrally in our Corp datacenter while monitoring devices and users out in the facilities across the East, Central and West geographic regions. The cost of the endpoint agents was quite modest and provided great functionality at this price point. In this respect our business objectives are well satisfied and the system has been a complete success.
  • An important aspect of our business objective was to have a monitoring system that didn't require constant maintenance and babysitting, and as such the GPM system has worked out fantastically in that we only use 1-2 staff resources to monitor all the systems mentioned earlier in this review.
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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.