AzureDevOps Server (formerly Team Foundation Server, or TFS) is a test management and application lifecycle management tool, from Microsoft's Visual Studio offerings. To license Azure DevOps Server an Azure DevOps license and a Windows operating system license (e.g. Windows Server) for each machine running Azure DevOps Server.
N/A
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
Pricing
Azure DevOps Server
Datadog
Editions & Modules
No answers on this topic
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
Offerings
Pricing Offerings
Azure DevOps Server
Datadog
Free Trial
No
Yes
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
Optional
Additional Details
—
Discount available for annual pricing. Multi-Year/Volume discounts available (500+ hosts/mo).
Jira has been growing in hardware design teams since is being integrated with CAD software. The best of Azure is that you can manage since level of access control to multiple types of teams. Another bonus is that Jira has more mobile features that let your team stay connected …
Because of the microsoft ecosystem and the product is also build on ms services cloud which uses azure internal services so it is easy to integrate. more reliant support available for the microsoft services because of the well established user community of the product and …
Azure DevOps is a fully integrated solution that solves all of the problems that our separate tools did in a much easier-to-use way. Before we implemented DevOps we had three different solutions that we had to integrate with each other and required a lot of manual intervention …
Managing projects is a breeze using Azure DevOps Server, and the tool also automates testing and checks to see if the project is within its scope. Intuitive, with a low learning curve for novice users; it's also simple to collaborate on projects and keep tabs on their progress …
Honestly speaking, GitHub is better in terms of version control and JIRA has better functionality when it comes to Agile boards, other than that, the UI could have been a bit better for Azure DevOps Server. In all other areas, I feel overall Azure DevOps Server is better.
In my opinion, DevOps covers the development process end to end way better than JIRA or GitHub. Both competitors are nice in their specific fields but DevOps provides a more comprehensive package in my opinion. It is still crazy to see that the whole suite can be used for free. …
I was new to the agile methodology when it was first introduced to the Enterprise. Different project teams opted to leverage different project management tools, two of the most common being Jira and DevOps. For someone overcoming a huge learning curve already, I felt that …
My organization already has an established Microsoft relationship which allowed us to move faster in procuring the product. The alternative would require my large organization to move at a snail's pace at procurement. This is not necessarily a hindrance for most other …
I was not involved in the purchase decision for this product. Since I have started working at my company, we have always used [Azure DevOps Server]. So I can't comment on how it performs vs its competitors. I have used many project management tools that are not as robust, but I …
I've used and currently use JIRA, which is a similar software to Azure DevOps Server. Azure DevOps Server is more detailed and comprehensive than JIRA. They both offer many of the same features and capabilities but Azure has a better overall interface and is more in-depth. It …
Azure DevOps Server is a fantastic tool and my favorite for organization and management of large application building projects. It was selected for its ease of use with a user-friendly design that allows any team members, particularly outside of developers, to quickly get up to …
At the time we brought Azure DevOps in-house it really was the only game in town. Our company migrated from Visual SourceSafe to TFS to Azure DevOps without any issues or downtime. Git isn't overly intuitive so I never recommend it and shy away from it. I loved it when …
Microsoft Azure DevOps is the one that integrates everything you can possibly use and provides a solution that eases your developing process. It has a strong support community and well-written documentation. No matter what you do, you will always find the right pipeline. It is …
Azure DevOps server has quite an upper hand while we compare it with other tools in the market. Its not just a tool in fact its been a complete suit. If we look out at other products available as alternative options to Azure DevOps Server, they are meant for a specific purpose …
TFS gives and edge over JIRA for inbuilt version controlling that TFS has. TFS provides a GIT version control repository that offers centralized TFVC and distributed GIT Version control. Version controlling is a key feature that promoted TFS over JIRA in the implementation of a …
The advantage of Team Foundation Server is the integration capability with Microsoft technologies and products, such as Visual Studio. Although this is an important consideration, Team Foundation Server is not a straightforward tool and needs to be improved to work seamlessly …
Git and GitHub are very popular right now and they are OK. But they do not integrate automated Testing and Building... The Work Item Management of Jira is about as complicated as the one of TFS so we use Trello. The other Source Control Systems are more complex to use because …
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 …
In our case it was best suited when we started working remotely, we were able to track everything in out projects easily, able to share our codes, give reviews for the codes and also create integration and deployment CI/CD plans for the release and testing. It helped our team members with the productivity, early prototyping and release. Create summarised reports of different aspect of our projects. Even in other scenarios it is one of the best tools to use for collaboration and project management. I haven't found any specific scenario where it is not appropriate
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.
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
Because we are a Microsoft Gold Partner we utilize most of their software and we have so much invested in Team Foundation Server now it would take a catastrophic amount of time and resources to switch to a different product.
For standard users the interface is friendly. but if you are a manager some tools are a little confusing to use, like the query system that you always need to create from scratch. Templates should be more helpful for queries and for standard procedures that you need to duplicate PBIs over time. The search history of Work Items is a little painful to 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.
I have not had to use the support for Azure DevOps Server. There have never been any issues where I was not able to figure it out or quickly resolve. Our Scrum Master has used support before though, and the service has always been prompt and clear with a customer-focus
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.
Azure DevOps is a fully integrated solution that solves all of the problems that our separate tools did in a much easier-to-use way. Before we implemented DevOps we had three different solutions that we had to integrate with each other and required a lot of manual intervention to make sure they worked correctly.
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.
It has streamlined the pipeline and project management for our agile effort.
It has helped our agile team get organized since that is a new methodology being leveraged within the Enterprise.
The calendar has improved visibility into different OOOs across the project team since we all come from different departments across the larger organization.