Datadog Reviews

Datadog has provided a positive ROI for many users, including improved DevOps, labor savings, reduced blindspots, and quicker debugging of live sites and has been a valuable addition to their tooling suite. Some have seen a high ROI or estimate it to be between 10x and 20x, while others believe it has saved months of time. 

There are some limitations to the solution, such as not providing an adequate network monitoring solution, which can decrease the ROI.

Datadog's pricing can be expensive, especially for smaller organizations, and the pricing model may be restrictive until a certain size is reached. The pricing structure can be confusing and complicated, and users need to be cautious around custom metrics and negotiate rates.

Licensing is based on the retention period of logs and metrics, and users need to be aware of licensing control to avoid high costs. Some features, such as APM, RAM, and Session Replays can be quite expensive or become get expensive fast.

Datadog's RUM session replay is very inexpensive compared to other solutions. 

It is recommended to keep an eye on usage and set up monitoring to avoid surprises with the cost. While the pricing level is rated reasonably, better visibility of the cost would give a better experience. 

• "The solution's pricing depends on project volume."
• "Licensing is based on the retention period of logs and metrics."
• "The solution is fairly priced but history and log storage can get costly depending on your needs."

Datadog is used for monitoring applications, log analysis, observability, and security. It is used to monitor infrastructure and apps, ensure proper functioning, and troubleshoot problems as well as for tracing, metrics, alarms, and real user metrics. It is implemented for all aspects of system monitoring and testing application endpoints. It is used for logging log messages and synthetic testing and monitoring features, and is used to monitor and alert ECS instances as well as other AWS services. Datadog is also used for recording loggers on various services across different teams and for ingesting data from various sources to monitor log metrics. It provides dashboard and alert capabilities for centralized dashboarding and telemetry viewing for teams across the organization.

Datadog's customer service and support are generally praised by reviewers. Many reviewers have found them responsive, knowledgeable, and helpful and are considered to be high-quality.

Some reviewers have had issues with support taking a long time to respond or with have been passed on to multiple engineers. However, these are rare occurrences.

Opinions on the initial setup for Datadog vary a lot. Some found it straightforward and easy, with helpful documentation and a good GUI. Others found it complex, requiring multiple teams or technical support. The ease of setup seemed to depend on factors such as the type of data collection and the size of the environment being monitored.

The solution is highly scalable and it is easy to expand usage. While the scalability is great, effort must be put into keeping ongoing costs reasonable.

Overall, the stability of Datadog is excellent, without any issues. It is considered to be very reliable. When there have been minor problems, they have been fixed quickly.