Datadog vs. Splunk Log Observer

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

Great for organizations that need to centralize different types of logging across integration, qa, sandbox and production environments. Would be less impactful for organizations that don't have complex logging needs.

• 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

• Providing in-depth insights
• A related content feature which really helps us to figure out which service is breaking the infrastructure.
• The Log explorer which helps us to explore the entire log and pin point the errors/issues.
• Fast and powerful log investigation

Incentivized

• 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

• Integrating the system with Slack channels
• Saving the logs in different cloud provider
• Viewing the logs at more fine grained level based on user roles and permissions

Incentivized

I'm a Splunk specialist, and I'm involved in its use and improvement.

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

It gives access to data features for every level of users: from managers and executives to Analysts, each one with the correct level of observation and analysis.

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

Splunk support is very quick and efficient. Pre-sale specialists are very skilled and available.

Incentivized

Follow a training before starting.

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

I had not considered other products because Splunk Log Observer was in use in my company before I started working there.

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

• Significantly reduced the MTTR (Mean Time To Recovery), which in turn has improved the end-user experience tremendously.
• Meets compliance requirements of security policies, audit, regulation, and forensics.
• Helps us to track/manage the resource usage on our cloud instances which has a direct implication on the recurring cost.

Incentivized