Azure DevOps (formerly VSTS, Microsoft Visual Studio Team System) is an agile development product that is an extension of the Microsoft Visual Studio architecture. Azure DevOps includes software development, collaboration, and reporting capabilities.
$2
per GB (first 2GB free)
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 Services
Datadog
Editions & Modules
Azure Artifacts
$2
per GB (first 2GB free)
Basic Plan
$6
per user per month (first 5 users free)
Azure Pipelines - Self-Hosted
$15
per extra parallel job (1 free parallel job with unlimited minutes)
Azure Pipelines - Microsoft Hosted
$40
per parallel job (1,800 minutes free with 1 free parallel job)
Basic + Test Plan
$52
per user per month
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 Services
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 is fantastic for project management and customer facing portal. It is not good for pure development (no integration with Git, pipeline management, automated testing features). If DevOps were to integrate and adopt the project features of Jira as well as the customer facing …
The moment I have been working with this tool everything has benn operating efficiently. The software development process has borne positive results under scalable environment. The cost of running Azure DevOps Services us much lower as compared to other tools in the market. It …
ADO has better linking than Confluence and is adaptable for a specific need, whereas Confluence might be a bit more rigid, but it's also sort of along the same lines as to what can be done with both tools. ADO also had an ease of use to it and can do a bunch of stuff with it, …
Jira is super clunky and doesn't behave in a modern fashion. monday.com is too flexible and doesn't provide enough feature set. AWS is the most competitive, but it's hard to wrap your brain around all of the features and offerings provided by amazon. ADO does a better job of …
Azure DevOps has a drag and drop editor so that you can quickly drag build steps into a build or release pipeline. This is much faster than looking up the correct yaml syntax. Additionally, its support for Microsoft and Azure is great. If you're on the .net stack or you use …
Microsoft Planner is used by project managers and IT service managers across our organization for task tracking and running their team meetings. Azure DevOps works better than Planner for software development teams but might possibly be too complex for non-software teams or …
Trello is simple to use, but it's only for a Kanban board. Jira might be the same, but I don't really have enough experience with Jira to fully compare them. When I used it, it missed certain functionalities that I was used to in Azure DevOps. Visually it's a lot different too.
Azure DevOps Services have huge functionality and are well supported by Microsoft as well. You will get plenty of features in the marketplace and learning documentation.
Writing the Docker Images, Storing them in Azure Container Registry and then Deploying onto Azure Kubernetes Services is an Easier process which no other software/product is currently providing in the market. Best till date in terms of End to End deployment and maintaining …
Azure DevOps is widely used because of its collaboration and integration with various other tools. Here the assign of the sub task is quite easy compare to Jira. Also Azure Devops can we integrate easily with Git for better code representation and versioning. It reporting is …
Azure DevOps is a completed product and ecosystem. It offers a robust ecosystem that does everything that is needed. The above products do lack features like pipelines tasks, third-party integrations. Besides all cloud benefits, the main advantage of Azure DevOps Services …
Currently, we use both products, however, we use more the Atlassian suite. We have started recently using Azure DevOps for specific implementations and projects. We don't have any plan yet to migrate all our projects to Azure DevOps, we may in the next couple of years. …
We tested alternatives for Azure DevOps over time. We tested GitHub a while ago and back then lack of some features that now hast, like the project boards and private repositories. We will check GitHub next year.
We also tested AWS CodeCommit and found it very cryptic, …
Beside all cloud benefits, the main advantage Azure DevOps Services compared to Azure DevOps Server is the easier remote access for third party team members, and always up to date software. On the other hand, on prem deployment (Azure DevOps Server) makes complex access or …
The greatest strength of Azure DevOps Services (formerly VSTS) is that it's a one-stop solution for all agile project management instead of setting up bits of different software put together for each and every need. Azure DevOps Services (formerly VSTS) has a great ecosystem …
I prefer Azure Devops over all other code repository / ci/cd systems that I've used in the past. All features are integrated into a single service (back log, repo mgmt, deployment pipelines, artifacts, etc.). The tools are easy to use and super powerful.
Our company is already using a lot of Azure services and it makes more sense to start using Azure DevOps Services (formerly VSTS) when we needed a CI/CD tool. We tested different features of Azure DevOps Services (formerly VSTS) and found out that the build and release …
One of the foremost reasons that acted in favor of Azure DevOps was its all-in-one packed web portal which enabled easy access to all the CI/CD tools and kits. Customizable screens, notifications via Teams/mails, project views, etc. Most other tools/products offer only part of …
While GitLab has the same features as Azure DevOps, and a potentially more competitive price, its project management features are a bit more primitive. It could be helpful for small projects, but ultimately for our larger projects we went with Azure DevOps. Bitbucket has good …
Azure DevOps provides a full workflow from planning through to development through to production. After the acquisition of GitHub by Microsoft, GitHub is becoming more fully-featured with the features being ported becoming more polished in the transition. Both are great …
DevOps is more full-featured than its on-prem predecessor or any of the above with the possible exception of the Atlassian suite. I would say those two are roughly comparable. However, the ease of integration is much better with DevOps and other Microsoft products (although …
They are really close. Azure DevOps is better because of the deep integration with Microsoft technologies. Jira is better on the customization side. However, Azure DevOps is really improving on that front. They are releasing new features every other week now. Azure DevOps also …
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 …
ADO is well suited for the visibility of day-to-day tasks and responsibilities as well as things such as Features, user stories, etc. Off the top of my head, I can't think of any scenario where it might not be well suited, as you can customize ADO to your liking to a degree.
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.
Flexible Requirements Hierarchy Management: AZDO makes it easy to track items such as features or epics as a flat list, or as a hierarchy in which you can track the parent-child relationship.
Fast Data Entry: AZDO was designed to facilitate quick data entry to capture work items quickly, while still enabling detailed capture of acceptance criteria and item properties.
Excel Integration: AZDO stands out for its integration with MS Excel, which enables quick updates for bulk items.
Need to make the changes so that it doesn't occupy most of the CPU utilization and memory
Execution of Bulky SQl Queries leads to either the SQl being out of exception or the VS being unresponsive
Integration with Microsoft products is easy, but with non-Microsoft products it is more difficult, and you have to make a lot of configuration changes to integrate
With every upgrade of the Visual Studio, like from VS 2010 to VS 2013 , we need to upgrade our hardware/machine, as the VS hardware requirement also increases
If code is getting compiled in one visual studio, like in VS 2010, that the same code could possibly give an error when compiled in VS 2013, due to certain changes in keyword, data format, etc., with the VS upgrade
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
I don't think our organization will stray from using VSTS/TFS as we are now looking to upgrade to the 2012 version. Since our business is software development and we want to meet the requirements of CMMI to deliver consistent and high quality software, this SDLC management tool is here to stay. In addition, our company uses a lot of Microsoft products, such as Office 365, Asp.net, etc, and since VSTS/TFS has proved itself invaluable to our own processes and is within the Microsoft family of products, we will continue to use VSTS/TFS for a long, long time.
Azure DevOps is a powerful, complex cloud application. As such there are a number of things it does great and something where there is room for improvement. One of those areas would be in usability. In my opinion it relies too much on search. There is no easy way to view all projects or to group them in a logical way. You need to search for everything.
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.
When we've had issues, both Microsoft support and the user community have been very responsive. DevOps has an active developer community and frankly, you can find most of your questions already asked and answered there. Microsoft also does a better job than most software vendors I've worked with creating detailed and frequently updated documentation.
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.
Jira is fantastic for project management and customer facing portal. It is not good for pure development (no integration with Git, pipeline management, automated testing features). If DevOps were to integrate and adopt the project features of Jira as well as the customer facing interfaces, I feel it would be a complete project management system.
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.