Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Buddy
Score 9.0 out of 10
N/A
Buddy (formerly Springloops) is a SVN/Git source code management tool focused on web development teams. It allows users to code in parallel and share code safely concentrating on results, not on lost changes or overwritten files. With quick deployments, users get rapid collaboration in protected space.
$75
per month
Datadog
Score 8.7 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
Pricing
BuddyDatadog
Editions & Modules
Free (for freelancers)
$0
per month
On-premises (for teams)
$35
per month per user
Pro (for teams)
$75
per month
Hyper (for teams)
$200
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
BuddyDatadog
Free Trial
NoYes
Free/Freemium Version
YesYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeOptional
Additional DetailsDiscount available for annual pricing. Multi-Year/Volume discounts available (500+ hosts/mo).
More Pricing Information
Community Pulse
BuddyDatadog
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BuddyDatadog
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All AlternativesView all alternativesView all alternatives
User Ratings
BuddyDatadog
Likelihood to Recommend
10.0
(1 ratings)
9.4
(55 ratings)
Likelihood to Renew
10.0
(1 ratings)
-
(0 ratings)
Usability
10.0
(1 ratings)
9.2
(34 ratings)
Support Rating
10.0
(1 ratings)
8.9
(6 ratings)
User Testimonials
BuddyDatadog
Likelihood to Recommend
Buddy (BDY, Sp. z o. o. Sp. k)
Springloops is the best tool for deployment to any environment. Especially, the auto-deployment feature on development servers is essential for the early stages of development. The built-in source control mechanisms are a perfect combination of ease of use and a rich feature set that allows the development team to have an easier and more complete view of each part of the project. A section that is lacking is time tracking - but then this is not the main usage of the service.
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Datadog
As per my experience, Datadog is best suited for complex, cloud-native environments where unified observability is critical, as it integrates seamlessly with AWS and Azure. Moreover, it provides deep visibility into latency and error rates. Datadog pricing is less appropriate for Startups with a tight budget and for organizations needing advanced incident management.
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Pros
Buddy (BDY, Sp. z o. o. Sp. k)
  • Easy of use - clear user interface
  • Fast deployment to all environments
  • Great combination of source control and project management
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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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Cons
Buddy (BDY, Sp. z o. o. Sp. k)
  • We would love to have a more flexible management for resources (users, storage)
  • More advanced web hooks would be a plus
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Datadog
  • In my experience, .NET Tracing Agent caused severe and untraceable performance issues
  • In my opinion, usage and billing structures were opaque and surprising
  • In my experience, documentation was incomplete, contradicting or sometimes completely wrong, even for common infrastructure (AWS Fargate)
  • I feel support was unhelpful at times, and bounced us back and forth to other teams
  • In my opinion, multiple methods of sample rate control were ineffective, adding to excessive usage and cost
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Likelihood to Renew
Buddy (BDY, Sp. z o. o. Sp. k)
Apart from being a great versioning control system Springloops offers the options to automatically deploy code to multiple systems. This feature alone is a determining factor to renew Springloops over and over again. Another important factor is that it offers a full set of tools that help the team during the development cycle. No switching between time-tracking to project management. This is a real time-saver.
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Datadog
Definitely will not revisit after our issues and, in my opinion, poor support.
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Usability
Buddy (BDY, Sp. z o. o. Sp. k)
Easy to use, automatic deployments, comments on projects are only a few factors. Multiple servers per project is another must-have feature. User permissions and rights offer granular control on access to the system
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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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Support Rating
Buddy (BDY, Sp. z o. o. Sp. k)
I rarely use it but when I need it the team is there. During the initial steps of Springloops, I had close contact with one of the founders. He provided support to me over Skype! He didn't have to but he did. We had a couple of long talks about some issues I was facing. He has there regardless of time. It was a great experience
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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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Implementation Rating
Buddy (BDY, Sp. z o. o. Sp. k)
No answers on this topic
Datadog
Documentation was difficult to work through, rollout was catastrophic (completely outage)
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Alternatives Considered
Buddy (BDY, Sp. z o. o. Sp. k)
Springloops has a built-in feature that is lacking from Bitbucket (at least on the out-of-the-box functionality). Deployment of projects to various servers/development stages. The process is so easy and painless that even remote servers can act as local environments. This is a feature that differentiates Springloops from other solutions that require other tools to perform the same task.
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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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Return on Investment
Buddy (BDY, Sp. z o. o. Sp. k)
  • A total time saver - just commit changes and Springloops can handle the deployments
  • Total control of source code and commits - you never have to think about those things again
Read full review
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.
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.