Datadog vs. SuperOps.ai

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.

Incentivized

SuperOps.ai is positioned to be and continues to move itself in ways to be the best MSP platform available. Their PSA is so easy to work with it could easily reach past the IT industry as a service delivery platform for nearly any other vertical utilizing service professionals. SuperOps.ai doesn't work well for companies requiring complex tax assessment and calculations like telcos. They are slated to address this in the near future. (Written in 07/2024)

Incentivized

• 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.

Incentivized

• RMM automations
• Innovative multitasking via tab layout
• Scripting outputs and feedback
• Pace of development
• Accessibility of staff, support, and community
• Contract mangement

Incentivized

• 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

Incentivized

• Unreliable uptime – Frequent outages disrupt operations.
• Poor support – Slow response times and unhelpful assistance.
• Limited integrations – Lacks compatibility with key third-party tools.
• Buggy interface – Glitches make navigation frustrating and inefficient.
• Downtime all the time

Definitely will not revisit after our issues and, in my opinion, poor support.

Incentivized

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.

Incentivized

In my opinion, SuperOps.ai is unreliable and inefficient. I feel frequent downtime makes it impossible to access critical data, and when issues arise, support is slow and unhelpful. In our case, we repeatedly requested access to backups, but they failed to provide a solution, leaving our business paralyzed during outages. Instead of streamlining operations, I believe it created more problems and wasted our time.

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.

Incentivized

Documentation was difficult to work through, rollout was catastrophic (completely outage)

Incentivized

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.

Incentivized

We haven't seen this pace of development or support from any other player in the market both newer entrants and veteran competitors alike

Incentivized

• 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.

Incentivized

• Wasted time and resources – Constant troubleshooting reduced productivity.
• Loss of revenue – Downtime and system failures disrupted client services.
• Increased operational costs – Had to invest in alternative solutions due to platform issues.
• Negative client impact – Poor performance damaged trust and credibility with customers.