Datadog vs. Woodler SMT

Datadog works really well with complex microservices architecture like any E-commerce platform which will be having multiple services but they all are interdependent to others so in this scenario Datadog will be best to monitor these as it will show the transactions also between those microservices. If you are using multiple services in your architecture whether it will be cloud services or on prem services Datadog will be the best choice to monitor all those service with in Datadog so that you can see everything in a single place. But if you are having small architecture and few services in that then in that scenario you can use Datadog but it will be little costly as compared to other but obviously the features are very well.

Incentivized

Woodler SMT is intended to be [a] specialized SQL Server monitoring tool. Unlike other monitoring systems, Woodler SMT does not take care [of] networks, AD, and other stuff along [with] company infrastructures. As for me, at least, this makes the Woodler SMT very strong in its area of expertise. If anybody is looking for [professional,] specialized SQL performance monitoring, the Woodler SMT would be the best choice. For general monitoring, this tool rather will not help.

• Create Dashboards as per application, environments, and Custom metrics in one panel.
• Log aggregation, one-stop Application monitoring tools for the whole infrastructure.
• Playbooks, SLA definition, success and error quotas, request visualizations.
• DB monitoring, Serverless stack monitoring.
• Alerting of Production incidents so we can quickly resolve the issues on time.

Incentivized

• It contains all the diagnostics information that you need for optimization of queries, deep analysis of SQL server state, and much more
• Regular deployment of a new versions with minor fixes but mainly with the new features.
• It helps to make operational decisions, how to improve the performance and also expansion of the whole environment.
• Buying this also contains excellent service from the Woodler support.

• 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

• Sysadmin access to your system.
• Consumes disk capacity on monitored server to store all the data.

There is some room for improvement, but the Datadog team sends out updates frequently, and the UI is user-friendly for engineers, with no significant loading issues or region-specific problems. That was one of the key reasons we preferred Datadog; our company has employees worldwide, and it wasn't difficult to transition to the tool.

Incentivized

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

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.

Incentivized

We like Woodler SMT because we can benefit from Woodler Support team to connect to our servers and help us with different issues.

• 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

• It saves the time of troubleshooting
• It increases user's satisfaction with products relaying on SQL Server's performance