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 8.0 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
Datadog
Quantum 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
Datadog
Quantum Metric
Free Trial
Yes
No
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
Optional
No setup fee
Additional Details
Discount available for annual pricing. Multi-Year/Volume discounts available (500+ hosts/mo).
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More Pricing Information
Community Pulse
Datadog
Quantum Metric
Considered Both Products
Datadog
Verified User
Anonymous
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, …
Datadog is an all in one solution. It has everything in one place so you don't have to go from application to application and try to figure out what exactly happened. No more stitching database errors from one third party to backend errors in another to front end errors in …
Datadog crushed the competition on price and offering more solutions in one product cutting down on implementation time and effort while ensuring that the "integration" between one of their offerings was completely compatible with any of the others. I'm sure it's not the case …
We've completely replaced New Relic with Datadog and find it easier to use and more comprehensive. Our AWS and Sentry usage will continue for now. But Datadog gives us a much broader coverage - we can monitor our AWS services and many other services that interact with them. …
Dynatrace was cheaper but, in my opinion, its setup, features, and overall user experience do not come close to what Datadog can offer, making it more of a pain to use and not worth the cheaper cost over Datadog (especially if migrating away from Datadog to dynatrace).
The first reason for selecting Datadog was of course it's pricing which is quite better in terms of competitor like Appdynamics and splunk. Second thing is versatile services which they are offering on one platform which means entire end to end services can be monitor at one …
It's a one-stop solution for all our needs whereas in other open-source tools, we have an operational overhead to keep and manage the uptime of these tools as well and also manage their versioning, upgrade, and patching cycle. Also if there are any bugs then we have to raise an …
One of the most important reason is single agent configuration for all kinds of monitoring. It also proved an auto upgrade feature of agents that reduces the overhead. It also provides range of options when it comes to data visualization and dashboards. It also provide tagging …
Kubernetes with Prometheus and other open-source options. It is prone to more toil to set up but the stack can be largely replicated in open source technologies.
New Relic was a good tool but had really pushy salespeople. They also released a product called infrastructure recently, and it was worse than their previous product (servers). The previous product was also free! Needless to say, we will not be going back to New Relic any time …
Easier to set up and integrate with other auxiliary tools. The cost was also a benefit along with self-service capabilities. We could set up Data Dog by ourselves, versus needing to bring additional consulting efforts to setup Dynatrace. Reliability of results (less false …
Ultimately, Datadog had the most already-built bridges into our existing infrastructure -- third parties that we're using for certain services are far more likely to work with Datadog than other systems. This means that, while expensive, Datadog has done a tremendous amount of …
Datadog has been harder to setup out-of-the-box compared to its alternatives, although it's graphs and dashboards have been more useful. Other tools handle individual tasks better. For example, Splunk has been the best logging tool I've used, and New Relic is great for CPU and …
It has been easier to work with Datadog for all our business needs and get things on their roadmap if we found it lacking. Currently we use a mix of various tools as they were existing prior to Datadog came. We are evaluating new offering like Datadog's latest log management to …
I am listing how Datadog is better than below chosen NotSensu - Datadog has more integrations and easy to use UI. Prometheus - Datadog Integration are more in number than, simple installation process
We are still trying other products, but people still like Datadog. After setting up a dashboard, it's great for monitoring instances on Datadog. Also, the DevOps team had a good time setting up Datadog. It means Datadog was way easier to set up compared to those others.
Geckoboard has nice dashboard options, however their third party system support isn't as strong as Datadog. Geckoboard did not support all the various server and development systems we use, whereas Datadog did. Also, Datadog has better alerting and monitoring options than …
Datadog empowers us to create dashboards and visualize the state of our infrastructure in real time. It gives us control over what we want to view and how. The graphs provide deep insight into trends and anamoly detectives. These features are lacking in some of the other …
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 …
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 …
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 …
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.
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. …
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 …
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 …
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 …
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 …
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.
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.
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 …
Manager, Measurement Strategy and Data Architecture
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.
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.
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.
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.
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
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
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.
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.
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.
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.
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.
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.