Datadog vs. Microsoft Visual Studio Code

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Datadog
Score 8.6 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.
$18
per month per host
Microsoft Visual Studio Code
Score 9.3 out of 10
N/A
Microsoft offers Visual Studio Code, an open source text editor that supports code editing, debugging, IntelliSense syntax highlighting, and other features.
$0
Pricing
DatadogMicrosoft Visual Studio Code
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
DatadogMicrosoft Visual Studio Code
Free Trial
YesNo
Free/Freemium Version
YesYes
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
DatadogMicrosoft Visual Studio Code
Considered Both Products
Datadog
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 …
Microsoft Visual Studio Code

No answer on this topic

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User Ratings
DatadogMicrosoft Visual Studio Code
Likelihood to Recommend
9.4
(55 ratings)
8.7
(91 ratings)
Likelihood to Renew
-
(0 ratings)
9.4
(2 ratings)
Usability
9.2
(34 ratings)
9.1
(8 ratings)
Support Rating
8.9
(6 ratings)
9.7
(23 ratings)
User Testimonials
DatadogMicrosoft Visual Studio Code
Likelihood to Recommend
Datadog
Datadog may be better suited for teams that have a more out-of-the-box infrastructure, on the primary platforms Datadog supports. You may also have better results if you have a bigger team dedicated to devops and/or a bigger budget. We found that trying to adapt it to our use case (small team, .NET on AWS Fargate) wasn't feasible. We continually ran into roadblocks that required us to dig through documentation (and at times, having to figure out some documentation was wrong), go back and forth with support, and in my opinion, waste money on excessive and unintended usages due to opaque pricing models and inaccurate usage reports, as well as broken/non-functional rate sampling controls.
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Microsoft
As a general workhorse IDE, Microsoft Visual Studio Codee is unmatched. Building on the early success of applications such as Atom, it has long been the standard for electron based IDEs. It can be outshone using IDEs that are dedicated to particular platforms, such as Microsoft Visual Studio Code for .net and the Jetbrains IDEs for Java, Python and others. For remote collaborative development, something like Zed is ahead of VSCode live share, which can be quite flakey.
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Pros
Datadog
  • The thing which Datadog does really well, one of them are its broad range of services integrations and features which makes it one step observability solution for all. We can monitor all types of our application, infrastructure, hosts, databases etc with Datadog.
  • Its custom dashboard feature which helps us to visualize the data in a better way . It supports different types of charts through those charts we can create our dashboard more attractive.
  • Its AI powered alerting capability though that we can easily identify the root cause and also it has a low noise alerting capability which means it correlated the similar type of issues.
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Microsoft
  • Integrate with the git repository very well.
  • Integrated copilot chat is very helpful to write code snippets and helps beginners to start with coding and development.
  • Great library of available extensions is one of the best features in Microsoft Visual Studio Code.
  • Dedicated Testing option to configure pytest and others are quite handy to use.
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Cons
Datadog
  • 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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Microsoft
  • The customization of key combinations should be more accessible and easier to change
  • The auxiliary panels could be minimized or as floating tabs which are displayed when you click on them
  • A monitoring panel of resources used by Microsoft Visual Studio Code or plugins and extensions would help a lot to be able to detect any malfunction of these
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Likelihood to Renew
Datadog
Definitely will not revisit after our issues and, in my opinion, poor support.
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Microsoft
Solid tool that provides everything you need to develop most types of applications. The only reason not a 10 is that if you are doing large distributed teams on Enterprise level, Professional does provide more tools to support that and would be worth the cost.
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Usability
Datadog
There are so many features that it can be hard to figure out where you need to go for your own use case. For example, RUM monitoring us buried in a "Digital Experience" sidebar setting when this is one of our key use cases that I sometimes struggle to find in the application. It appears that ECS + Fargate monitoring was recently released which is great because we had to build a lambda reporting solution for ephemeral task monitoring. But this new feature was never on my radar until I starting clicking around the application.
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Microsoft
Microsoft Visual Studio Code earns a 10 for its exceptional balance of power and simplicity. Its intuitive interface, robust extension ecosystem, and integrated terminal streamline development. With seamless Git integration and highly customizable settings, it adapts perfectly to any workflow, making complex coding tasks feel effortless for beginners and experts alike.
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Reliability and Availability
Datadog
No answers on this topic
Microsoft
Overall, Microsoft Visual Studio Code is pretty reliable. Every so often, though, the app will experience an unexplained crash. Since it is a stand-alone app, connectivity or service issues don't occur in my experience. Restarting the app seems to always get around the problem, but I do make sure to save and backup current work.
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Performance
Datadog
No answers on this topic
Microsoft
Microsoft Visual Studio Code is pretty snappy in performance terms. It launches quickly, and tasks are performed quickly. I don't have a lot of integrations other than CoPilot, but I suspect that if the integration partner is provisioned appropriately that any performance impact would be pretty minimal. It doesn't have a lot of bells and whistles (unless you start adding plugins left and right).
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Support Rating
Datadog
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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Microsoft
Active development means filing a bug on the GitHub repo typically gets you a response within 4 days. There are plugins for almost everything you need, whether it be linting, Vim emulation, even language servers (which I use to code in Scala). There is well-maintained official documentation. The only thing missing is forums. The closest thing is GitHub issues, which typically has the answers but is hard to sift through -- there are currently 78k issues.
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Implementation Rating
Datadog
Documentation was difficult to work through, rollout was catastrophic (completely outage)
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Microsoft
No answers on this topic
Alternatives Considered
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.


Key features:


Logs, metrics, and APM (Application Performance Monitoring)


Real-time alerting and dashboards


Supports Kubernetes, AWS, GCP, and other integrations


RUM (Real User Monitoring) and Synthetics





✅ Best for backend, server, and distributed systems monitoring.
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Microsoft
Visual Studio Code stacks up nicely against Visual Studio because of the price and because it can be installed without admin rights. We don't exclusively use Visual Studio Code, but rather use Visual Studio and Visual Studio code depending on the project and which version of source control the given project is wired up to.
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Scalability
Datadog
No answers on this topic
Microsoft
It is easily deployed with our Jamf Pro instance. There is actually very little setup involved in getting the app deployed, and it is fairly well self-contained and does not deploy a large amount of associated files. However, it is not particularly conducive to large project, multi-developer/department projects that involve some form of central integration.
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Return on Investment
Datadog
  • 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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Microsoft
  • Saves money by replacing suites of tools such as Visual Studio, IntelliJ, etc.
  • Speeds development time and developer environment setup time
  • Strengthens code quality with integrated autoformatting and linting
  • Strengths Git practices by keeping version control tightly connected with the code
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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.