Datadog vs. Splunk Real User Monitoring (RUM)

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.

Incentivized

Splunk RUM was really helpful in identifying brute force attacks as we used Splunk query language and were able to identify how many failed login attempts were made from which country and blacklisted those IP's. Since Splunk entirely depends on Splunk query language, if there are no logs or you delete the logs you can't perform analysis, as there is no stream of live data and also it depends on how frequently your data can be indexed.

Incentivized

• 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

Incentivized

• End-to-end visibility enables me to see each transaction from start to finish thereby making it easy to know where exactly an anomaly is coming from.
• They have a really kind and helpful customer support.
• Application monitoring.
• End user performance metrics.

• 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.

Incentivized

• The setting baseline for AI-driven troubleshooting requires more documentation to implement.
• Room for integration with open sourced or inhouse monitoring tools.
• Required more flexibility on setting up mobile OS performance metrics.

Incentivized

The user interface is quite intuitive with the exception of the network map. As a deployer of software, it is trivial to setup.

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

Splunk Real User Monitoring (RUM) has a much better artificial intelligence engine. It also has a much better and more intuitive user interface. Splunk RUM also allows end-to-end visibility into the front and the backend. Technical support and customer service are also much better than Goliath. Query performance is faster than Goliath.

Incentivized

• 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.

Incentivized

• Splunk is a single platform to perform all your analysis from front end to backend and all services.
• Splunk licensing is quite costly.
• Splunk is an excellent tool for data engineering and cyber security purpose.

Incentivized