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 IBM Log Analysis with LogDNA is well suited if you are using other IBM cloud product ecosystems. It's very mature and supports HIPAA-compliant configurations if you need to store PI/PHI data. We particularly use it for audit requirements but understand the limitation with the retention period is for 30 days only. Also you need to configure if your IBM cloud service doesn't have any log collection or report tool. Log collection agents are widely supported for most of infrastructure in cloud.
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 Easier integration with other IBM cloud resources Flexible access control setup using RBAC Supports other infrastructure as well, like Kubernetes and VMs 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 Ability to create KPI charts and metrics dashboards out of the box 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 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 If you use other IBM product ecosystems, IBM Log Analysis with LogDNA is the obvious choice, as it supports seamless integration and better access control with IBM cloud access group setups. IBM Log Analysis with LogDNA was flexible and has wide support for various infrastructure implementations and is also controlled by the same IAM access setup. It can be configured for any IBM cloud services or platform logs or for infrastructure by installing the agent.
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 Most of IBM cloud services support easier integration for log analysis. We are able to achieve compliance with various audit log reports, which improves governance and control over various cloud resources we have. Also IBM Log Analysis with LogDNA helps in troubleshooting and analysis for application logs in real time. This helps with improved issue resolution timings. Read full review ScreenShots