We performed a comparison between Datadog and eG Enterprise based on our users’ reviews in five categories. After reading all of the collected data, you can find our conclusion below.
Features: Datadog offers valuable features like dashboards, reporting, error reporting, log centralization, user-friendliness for development teams, and flexibility with AI and ML capabilities. eG Enterprise excels in comprehensive monitoring modules, a user-friendly UI, and easy data collection with its algorithm. Datadog has room for improvement in several areas including user-friendliness, intuitive user interfaces, ease of learning, monitoring of external websites and SSL security, AI and ML concepts, and agent deployment. eG Enterprise could improve its licensing cost, implementation in Kubernetes, availability of cloud service options, and monitoring capabilities for containerized services or services deployed on OpenShift.
Service and Support: The opinions on customer service for Datadog vary, with some users appreciating the support team's efficiency and assistance, while others encountered delays or unresponsiveness. eG Enterprise is commended for its effective direct support approach and timely replies to customer inquiries.
Ease of Deployment: The setup process for Datadog is generally considered efficient and can be completed in a relatively short period of time, ranging from one hour to three days. Some users received assistance during the process, although a few found it complex. Integration with other platforms was smooth. eG Enterprise's setup is straightforward and relatively quick, taking two to three days for on-premise deployment and around two weeks for small or medium enterprise sites.
Pricing: Datadog's setup cost is subjective, with differing opinions on its affordability. It has a potentially confusing pricing model and expenses could escalate with specific functionalities. eG Enterprise presents a more economical subscription-based license, with reported pricing of around $100 per agent per month.
ROI: Users have reported different experiences with the ROI of Datadog, however, some have found it to be beneficial in terms of time savings and reducing blind spots. eG Enterprise has consistently received a perfect rating of five out of five for its positive ROI.
Comparison Results: Datadog is the preferred choice when compared to eG Enterprise. Users appreciate Datadog's simple setup process, seamless integration with other applications and platforms, and user-friendly interface. They also highlight the flexibility of Datadog in terms of additional features. Users find the dashboards, error reporting, log centralization, and troubleshooting capabilities of Datadog to be particularly valuable.
"We can manage the entire system across the network and troubleshoot the pain points."
"This is definitely a good product and I would consider them one of the leaders within the application monitoring and cloud monitoring space."
"The product has offered increased visibility via logging APM, metrics, RUM, etc."
"It brings in observability, monitoring, and alerting capabilities - all of which we need to operate at scale."
"The most valuable features of Datadog are the flexibility and additional features when compared to other solutions, such as AppDynamics and Dynatrace. Some of the features include AI and ML capabilities and cloud and analysis monitoring"
"The most valuable features have been: Sharable dashboards, TimeBoards, dogstatsd API, Slack Integration, Event logging API. CloudTrail Events, Tags, alerts, and anomaly detection. EBS Volume Snapshot Age, which they added upon request."
"The most valuable feature of Datadog is its logs."
"It has a high-level insight into the infrastructure model of the application and provides important detailed data on the host and metrics, which is the main concern of our customers."
"Having a clear view, not only of our infrastructure but our apps and services as well, has brought a great added value to our customers."
"It gives good insight into inside of what's going on with Exchange."
"What I like about eG Enterprise is that it's easy to use. It's a simple product. You can get up to seventy-five to eighty percent of the required information based on real user experience and diagnostics."
"The algorithm is the most valuable aspect of the solution."
"Sometimes when we face issues with the new technologies or very old technologies where we cannot enhance the service, they move to work with us directly and start doing some development on this area which is very good for us."
"User session details"
"eG Enterprise has a single pane of glass for observability and monitoring."
"Its ability to monitor failures and to restart a Windows service when it fails."
"The topology view which provides a visual representation of a service and quickly allows identification of errors or degraded performance."
"The Wi-Fi side needs improvement."
"Auto instrumentation on tracing has not been very easy to find in the documentation."
"We would really like to see more from the Service Catalog."
"Federated views for Datadog dashboards are critical as large companies utilize multiple instances of the product and cannot link the metrics or correlate the metrics together. This stunts the usage of Datadog."
"It would also be nice if we had more insight into our own usage of Datadog (agents and custom metrics). They provide a usage page which does help, but it is not in real-time."
"I would like the tooling to have better integration in Slack, specifically sending out reminders to the relevant people to take breaks, do a retrospective, and specify with emojis which messages to log."
"I'm not sure what kind of features are in the roadmap right now, but I encourage the development of features for defining your organization, and allowing the visibility of what kind of metrics you can get. Those features would be really useful for us."
"At times, it can be hard to generate metrics out of logs."
"They could have better log reporting."
"Back-end configuration is not easy to implement."
"I can understand why they designed the user interface (UI) the way they did, but sometimes in the management of the eG Manager, it can be a bit clunky."
"The solution needs to enhance the management dashboards."
"eG Enterprise's licensing could be cheaper. Even compared to Dynatrace, I think the price is quite expensive considering the APM functionalities, even though they have other benefits such as info monitoring."
"The UI looks a little dated and could do with a refresh."
"The integration must be improved."
"Needs to improve the networking monitor capabilities."
"The interface could be improved as it is not real intuitive. It is not user-friendly."
Datadog is ranked 1st in Application Performance Monitoring (APM) and Observability with 137 reviews while eG Enterprise is ranked 40th in Application Performance Monitoring (APM) and Observability with 21 reviews. Datadog is rated 8.6, while eG Enterprise is rated 8.2. The top reviewer of Datadog writes "Very good RUM, synthetics, and infrastructure host maps". On the other hand, the top reviewer of eG Enterprise writes "Great visibility, easy to set up, and has very responsive technical support". Datadog is most compared with Dynatrace, Azure Monitor, New Relic, AWS X-Ray and Elastic Observability, whereas eG Enterprise is most compared with Grafana, ControlUp, Zabbix, Dynatrace and AppDynamics. See our Datadog vs. eG Enterprise report.
See our list of best Application Performance Monitoring (APM) and Observability vendors, best Network Monitoring Software vendors, and best IT Infrastructure Monitoring vendors.
We monitor all Application Performance Monitoring (APM) and Observability reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.