Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Datadog
Score 8.8 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
Quantum Metric
Score 7.6 out of 10
Enterprise companies (1,001+ employees)
Quantum Metric is designed to help organizations build better digital products faster. Their platform for Continuous Product Design gives business and IT teams a single version of truth which the vendor describes as fast, quantified, and grounded on what customers actually experience. The solution ultimately aims to help teams agree on priorities, build products customers love, and innovate with speed and confidence.N/A
Pricing
DatadogQuantum Metric
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
DatadogQuantum Metric
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
DatadogQuantum Metric
Considered Both Products
Datadog
Chose Datadog
Its the Enterprise level decision, definitely usability and features perspective Datadog is much more advanced.
Chose Datadog
Datadog is significantly more user-friendly than CloudWatch.In terms of capabilities, they're similar.
I would not call either of the best-in-class for any single feature, but Datadog feels more polished and ready to use overall.Multi-cloud monitoring is a clear differentiator …
Chose Datadog
Datadog dashboard is very intuitive and offer seamless integration into multi-cloud platform compared to its competitor.
Chose Datadog
I use Datadog because it concentrates all these features into a single tool, facilitating the learning curve that my platform and development engineering team needs in order to be able to set up the monitors/alerts/SLIs/SLOs as well as to diagnose a production issue. Its easier …
Chose Datadog
Datadog seems to be the most feature-rich of all the alternatives we've considered, however due to problems outlined earlier, some of the others have benefits. OpenTel can give us a way to make our platforms compatible with a variety of vendors, and can be done without …
Chose Datadog
Datadog is a more complex but complete solution than any of the other Log Aggregation, monitoring, or general observabilty tools that we have trialed. I found it easier to setup following useful and up-to-date documentation provided directly by Datadog instead of scattered …
Chose Datadog
Kibana
Datadog
… because within our usecase we have all the events in kibana but sampled traces in Datadog … but if we had all the traces it would have been much more useful
Chose Datadog
I think Datadog and sentry serve different needs. I like sentry to keep track of errors on our systems. And then I'll jump into Datadog to investigate those issues.
Chose Datadog
We have utilized a SIEM in the past, but it was a very manual process to set it up. Content packs make it very easy to set up and get alerting instantly. Datadog takes out a lot of headaches for our security team, since they no longer have to create custom alerts for every …
Chose Datadog
First think first - it's easy to use, and very easy to implement in any infrastructure. It provides a custom dashboard and monitors. I’ve used or evaluated Grafana, Prometheus, Amazon CloudWatch, and Dynatrace, and each tool has strong capabilities. Prometheus + Grafana provide …
Chose Datadog
Wavefront seems to be better at observability and allows more custom query language.
Chose Datadog
All other tools dont have all the features which Datadog provides.
Easy to use from UI where other may have complicated UI or no UI at all to create monitors. Consider like AWS grafana, we have limitation to create monitors from UI. There is no recurring downtime for monitors. …
Chose Datadog
UI of the Datadog is easy to understand and integration steps are easy to understand. It also provides the troubleshooting steps which are easy to understand. Supports multi cloud integrations which is very important for all the customers to know about the cloud service's …
Chose Datadog
we primarily use Kubernetes, and Prometheus is great for collecting time series metrics, especially in Kubernetes. and Grafana is used for dashboards. As these are open source, we host them and manage them internally. We choose Datadog because of its logs, traces, and …
Chose Datadog
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 …
Chose Datadog
1. Grafana is good, but a lot of integration is required for it to work. .that not the case of Datadog
2. Faster to set up Datadog instead of Grafana
3. Alerting in Datadog feels much easier thanin Grafana.
Chose Datadog
Datadog is best for cloud-native and fast-setup. It is more mature for infrastructure and real-time observability. The UI is more user-friendly and provides wide coverage of app insights.
Chose Datadog
I have tried and used a number of other tools similar to Datadog such as New Relic, Splunk, Prometheus, AWS cloudwatch and Dynatrace. New Relic and Splunk provide excellent monitoring and analytics, but Datadog’s consolidated dashboards and ease of setup combined with a wealth …
Chose Datadog
Our logs are very important, and Datadog manages them exceptionally well. We frequently use Datadog services for our investigations. Use case: Monitor your apps, infrastructure, APIs, and user experience.
Chose Datadog
ease of use and implementation, other than new relic (which I think is terrible in every possible way), the other two support opentelemetry better, have more manageable costs and comparable basic services, but they do not have the breadt of services dd does.
Chose Datadog
We moved to Datadog from Microsoft's Application Insights. Application Insights did a fine job in allowing us to view our application data, but it lacked the holistic view of all our infrastructure and other platforms that could not use Application Insights. Being able to …
Chose Datadog
In terms of usability, I’ve found Datadog significantly more approachable and powerful compared to Elasticsearch, especially for day-to-day operational monitoring. Datadog offers a much more cohesive, user-friendly interface out of the box, with built-in support for metrics, …
Quantum Metric
Chose Quantum Metric
It is used for different functions; Quantum Metrics shows great advantages in the control and administration of data generated by a website. It allows the report and knowledge of online records, also the errors registered. Recordings of login sessions on web pages help resolve …
Chose Quantum Metric
Nowadays user journey is very important and for big companies you must use softwares like that
Chose Quantum Metric
Quantum Metric has unmatched support and is easy to use. The simple data visualization gave us an excellent analysis on specific pages and was a game changer. In other words, other tools may offer the same, but that's all. An easy-to-understand breakdown of how customers spent …
Chose Quantum Metric
its well suited for the environments for the workloads of huge transactions,huge I/O,avoiding delays for the workloads which need immediate attention with great workflows.For the great transformations and data mining it would be helpful,for great customer behaviorial, it would …
Chose Quantum Metric
Impressive interface to help me with getting a detailed journey of where my user is and clearly define the challenges these users face while moving from one step to another, backed with data points.
Chose Quantum Metric
Other tools might provide the tool in a very similar way, but that's it. Quantum Metric actually helps remove the abstraction from the data, their support is available in a very fast manner, they help us set goals and reach them, also helping us track them through the tool. …
Chose Quantum Metric
Quantum Metric is more sophisticated than Hotjar in every way (also much more expensive). If you've been using Hotjar and are ready for the next level of service, you should investigate Quantum Metric. However, if you have been using Hotjar and the service provides everything …
Chose Quantum Metric
Better Tech support & training; More features in the tool; Better reporting; Faster load time.
Chose Quantum Metric
Quantum Metric is a huge leap up from Mouseflow, which is very basic. Quantum offers more filters so I'm not sifting through thousands of recordings to find one or two. My organization uses Adobe for our everyday analytics and not Quantum. They do different things and I don't …
Chose Quantum Metric
Quantum's support is unmatched, and implementing new tracking is a breeze. Quantum makes it easy to dive beneath the numbers and see the customer sessions behind them. It enables more empathy and behavioral understanding.
Quantum's visualizations aren't as easy to use, and the …
Chose Quantum Metric
I found Tealeaf has many limitations related to logs and reviewing user sessions. Quantum Metric does not have these limitations.
Chose Quantum Metric
In other tools we cannot see the user journey, in other tools we need to write multiple queries but here the choice of filter is very easy. We can easily filter out the required data without any complicated query. It shows the customer journey like a video and we can play it …
Chose Quantum Metric
Quantum Metric feels a lot better when used. It is much smoother and seems much more reliable. It does not get stuck as much and finds the sessions a lot quicker.
Chose Quantum Metric
I haven't used any other products similar to QM.
Chose Quantum Metric
I have used other tools like Dynatrace. Quantum Metric is better suited to look for errors and spot issues in user sessions, it has a more friendly UI.
Chose Quantum Metric
The biggest QM advantage is that you can see customer's actions on the live preview and almost immediately. So you can catch customers up, on the session, while the customer is still using your portal. There is a lot of information provided on the session, like API calls and …
Chose Quantum Metric
I like it more because it is much more quick for searches and replays, also making dashboards is much more easy with QM.
Chose Quantum Metric
We were using Clicktale at the same time as Quantum for Order Form Optimization recommendations but found that the amount of time invested and the quality of the tool from Quantum just seemed like a better fit for our organization.
Chose Quantum Metric
Quantum Metric was the one who could provide a solution which worked across all platforms. (iOS, Android and Web).
Chose Quantum Metric
We selected Quantum Metric for its great user experience, fast replay and easy reporting.
Features
DatadogQuantum Metric
Mobile Capabilities
Comparison of Mobile Capabilities features of Product A and Product B
Datadog
-
Ratings
Quantum Metric
8.7
Ratings
8% above category average
Responsive Design for Web Access00 Ratings8.40 Ratings
Mobile Application00 Ratings8.60 Ratings
Dashboard / Report / Visualization Interactivity on Mobile00 Ratings9.00 Ratings
Mobile App Analytics00 Ratings8.60 Ratings
Results and Analysis
Comparison of Results and Analysis features of Product A and Product B
Datadog
-
Ratings
Quantum Metric
9.1
Ratings
3% below category average
Heatmap tool00 Ratings9.30 Ratings
Click analytics00 Ratings9.20 Ratings
Scroll maps00 Ratings9.00 Ratings
Session Recording and Replay00 Ratings8.80 Ratings
User Segmentation00 Ratings9.00 Ratings
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DatadogQuantum Metric
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ManageEngine Site24x7
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All AlternativesView all alternativesView all alternatives
User Ratings
DatadogQuantum Metric
Likelihood to Recommend
8.9
(0 ratings)
9.2
(0 ratings)
Likelihood to Renew
1.0
(0 ratings)
7.5
(0 ratings)
Usability
8.7
(0 ratings)
7.7
(0 ratings)
Support Rating
5.0
(0 ratings)
8.7
(0 ratings)
Implementation Rating
1.0
(0 ratings)
9.1
(0 ratings)
User Testimonials
DatadogQuantum Metric
Likelihood to Recommend
Datadog works really well with complex microservices architecture like any E-commerce platform which will be having multiple services but they all are interdependent to others so in this scenario Datadog will be best to monitor these as it will show the transactions also between those microservices. If you are using multiple services in your architecture whether it will be cloud services or on prem services Datadog will be the best choice to monitor all those service with in Datadog so that you can see everything in a single place. But if you are having small architecture and few services in that then in that scenario you can use Datadog but it will be little costly as compared to other but obviously the features are very well.
Read full review
If you're looking to go beyond session replay and have a tool with intelligence to show you specific issues, and prioritize those, I think this is a good tool. Retailers that have had ups and downs, and are maybe seeing an increase in their online traffic/sales, who want a better view of how to improve the customer experience. You need a fairly mature digital analytics environment for this to make sense. If you have a more basic analytics environment, or you don't have the people/skills to use all the information QM can provide, it's probably not a good fit.
Read full review
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.
Read full review
  • Identifying user pain points and frustrations. Quantum Metrics has a data point called Rage Click which shows when a customer has clicked multiple times back to back on a particular section of the website.
  • Replaying a session to see everything that is loading on the front end to the customer, as well as the backed end of the website, has been critical in troubleshooting the experience.
  • Heatmaps are a awesome tool we have found very useful in showing engagement with different content on the page, how far user scroll & drop off and to see a split side by side view of the same page in an a/b test.
Read full review
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
Read full review
  • Quantum could share some use cases implemented by similar industries in accordance with the key problems as inputs.
  • We should be able to see some of the most common solutions that could be integrated within our product based on the step of the user journey I am at.
  • Expanding capabilities to integrate with high-level tools integrated.
Read full review
Likelihood to Renew
Definitely will not revisit after our issues and, in my opinion, poor support.
Read full review
Quantum is a nice tool and is user friendly however I believe there always room for improvement. We have experienced minor issues with a few sessions which were solved by Quantum support reps in a timely manner and some of the dashboards are not as robust as other tools we use
Read full review
Usability
There is some room for improvement, but the Datadog team sends out updates frequently, and the UI is user-friendly for engineers, with no significant loading issues or region-specific problems. That was one of the key reasons we preferred Datadog; our company has employees worldwide, and it wasn't difficult to transition to the tool.
Read full review
For a new user, it's pretty intuitive to onboard and start doing the basic functionalities. But QM has a lot of functionalities which can be leveraged by more team members (especially when you don't have analysts dedicatedly using this) if further enhancements to usability are made.
Read full review
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.
Read full review
I've been very impressed with the support Quantum Metric has provided. Our amazing Customer Success team has provided excellent service and has gone above and beyond in helping us use and understand the tool. We hold weekly calls with multiple teams and QM has been proactive in bringing things to our team's attention and making suggestions. The support has been one of the most important aspects of having QM and has allowed us to make great strides in improving how we use data and user research in our work.
Read full review
Implementation Rating
Documentation was difficult to work through, rollout was catastrophic (completely outage)
Read full review
No answers on this topic
Alternatives Considered
Datadog is a more complex but complete solution than any of the other Log Aggregation, monitoring, or general observabilty tools that we have trialed. I found it easier to setup following useful and up-to-date documentation provided directly by Datadog instead of scattered around many blogs or articles. I would love to have my own Grafana + Prometheus expert to setup all the peices we need but you're paying for expertise there instead of an experience with Datadog.
Read full review
Quantum Metric has unmatched support and is easy to use. The simple data visualization gave us an excellent analysis on specific pages and was a game changer. In other words, other tools may offer the same, but that's all. An easy-to-understand breakdown of how customers spent their time is provided. It makes it easier to empathize with others and understand their behaviors. Quantum Metric offers the whole package, unlike other tools.
Read full review
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.
Read full review
  • The service is not cheap, so don't commit unless you're going to use it.
  • Really improved our tech support process by allowing us to identify problems much sooner.
  • Helped identify potential frustrations, which could be eliminated to reduce friction at checkout.
Read full review
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.

Quantum Metric Screenshots

Screenshot of Industry specific Atlas guides helps improve sections of the user experience on a site or app.Screenshot of Quantum Metric Sales Funnel - Shows data in context with respect to previous weeks.Screenshot of Integrates NPS to quantify customer feedbackScreenshot of Performance timings can be calculated