We performed a comparison between Datadog and syslog-ng based on real PeerSpot user reviews.
Find out in this report how the two Log Management solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."I like the amount of tooling and the number of solutions they sold with their monitoring. Datadog was highly intuitive to use."
"The Datadog suite has allowed us to easily integrate log collection into all of our services and quickly detect unexpected changes in system data to declare security incidents."
"I have found the logging and tracing features the most valuable."
"Going from viewing a metric to creating a monitor alerting on a metric is very easy."
"It is easy to navigate the menu and create tests."
"We have a better grasp of what is occurring during the deployment cycle. If something fails, we have an idea what has failed, where it has failed, and how it failed to better mitigate the situation."
"Datadog documentation on web pages has improved a lot and is pretty easy to follow and find."
"The network map is crucial in identifying bottlenecks and determining what needs more attention."
"Syslog-ng has built-in features that we can use to create alerts for a SIEM solution. It isn't a true SIEM solution, but it's sufficient for the time being."
"The ability to extract and store the logs is the most valuable feature of syslog-ng."
"Syslog-ng provides easy access to all my logs. It helps me show managers and other clients precisely where an incident occurred. I also like it because you can integrate syslog-ng with multiple solutions to allow real-time monitoring."
"For us, the most valuable feature is the use of compound search for searching logs at a specific time, by a specific user, or specific behavior."
"Syslog-ng has a separate config file in addition to the core configuration."
"We need more advanced querying against logs."
"We would like to see some versioning system for the Synthetic Tests so that we could have a backup of our tests since they are time-consuming to make and very easy to damage in a moment of error."
"The on-premise version is very difficult to upgrade."
"Datadog does not have the feature where you can monitor external websites or check the SSL secure for websites."
"This service could be less costly."
"The real issue with this product is cost control."
"I've found that the documentation is lacking in certain regards."
"Datadog could always lower the price!"
"Syslog-ng has built-in features that we can use to create alerts for a SIEM solution. It isn't a true SIEM solution, but it's sufficient for the time being."
"It's hard to find people who know how to use syslog-ng. I often find problems with configurations, and solutions aren't integrated correctly with syslog-ng. For example, there might be data with extra decimals, or the collector agents are incorrectly named. It isn't a problem with the solution; it's a lack of professionals."
"The filtering has room for improvement."
"There is room for improvement in terms of observability."
"There is always the potential for additional integration and protocol extensions."
Datadog is ranked 3rd in Log Management with 137 reviews while syslog-ng is ranked 18th in Log Management with 5 reviews. Datadog is rated 8.6, while syslog-ng is rated 8.6. The top reviewer of Datadog writes "Very good RUM, synthetics, and infrastructure host maps". On the other hand, the top reviewer of syslog-ng writes "It's a user-friendly open-source solution that can replace or augment a commercial product in some cases". Datadog is most compared with Dynatrace, Azure Monitor, New Relic, AWS X-Ray and Elastic Observability, whereas syslog-ng is most compared with SolarWinds Kiwi Syslog Server, Graylog, Grafana Loki, Logstash and LogRhythm SIEM. See our Datadog vs. syslog-ng report.
See our list of best Log Management vendors.
We monitor all Log Management 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.