Likelihood to Recommend DataDog Is well suited to all of the Infrastructure Monitoring Solutions, DB monitoring, and other Network monitoring also. It's not well suited because it cannot give perfect Infrastructure recommendations for our use case but also For example: If we are using AWS DB to monitor performance insights then Datadog is less effective there because AWS gives very niche recommendations.
Read full review Good for below cases 1. There is a front end and need to correlate data with front end data 2. multiple microservices and need to check the health of each system 3. correlate data from various sources 4. Application performance is a key to be captured 5. application performance is a key metric.
Read full review Pros APIs, the ability to interact with the data we pull into data dog is key. We port the information over to Servicenow, so the ability to pull everything into DataDog, then Servicenow, is a key component of our success here at Wayfair. Simple Interface - clean, useful, effective. Allows users to use DataDog for one reason, get work done. Lightweight agent on hosts Read full review Detect and Troubleshoot, which allows team to eliminate errors. Dashboard creates a one stop location for environment health Provides visibility, access to logs and user data real time. Read full review Cons We had a couple "integrations" that had some issues during setup, but Support addressed them very quickly Unnecessary alerts about DataDog components...by the time I see them, they're almost always also fixed I wish there was a DataDog mobile app that would have dedicated alerts (configurable per alert to override Do Not Disturb setting) instead of relying on emails notifications that could be overlooked in the midst of many incoming emails around the same time. Read full review I wish Splunk Application Performance Monitoring could integrate with packet capture and analysis tools and provide the integrated analysis results on each tier of the application Read full review Usability The user interface is quite intuitive with the exception of the network map. As a deployer of software, it is trivial to setup.
Read full review Splunk is a great tool for log mining. It is less time-consuming and easy to use. It provides high security, it has customisable dashboards. Furthermore, it acts as a search head, and it gives real-time status. It has the ability to collect data from any source and multiple sources, and it can correlate them.
Read full review Support Rating 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.
Read full review Alternatives Considered 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.
Read full review It is good that the correlation analysis and the cause of the failure can be analyzed more extensively through the collection of many data. It is good because it provides a user interface (usability) well and can be used conveniently. It is good because it can utilize anomaly detection through various AI-based ML models.
Read full review Return on Investment Visibility into website issues and performance problems has improved our company communication. Handling and detecting site issues faster has improved customer satisfaction and retention. Configuration of the Datadog site can take a bit of time and we lost a bit of developer time during that process. Read full review It gave us more quicker alerts in a organize way to distribute to specific audience. Helped us to improve our uptime by getting pro-active alerts via emails More collaboration in a DevOps culture Read full review ScreenShots