We compared Datadog and ScienceLogic across several parameters based on our users' reviews. After reading the collected data, you can find our conclusion below:
Features: Datadog users like its customizable displays, error tracking, and advanced AI/ML capabilities. ScienceLogic is highly regarded for its serverless and agent connectivity, versatile graphs and personalized dashboards, AIOps and event management capabilities, as well as its AI and machine learning features.
Room for Improvement: Datadog could enhance its usability and reduce its learning curve. Users said integration was another pain point. ScienceLogic can enhance its documentation, Power Packs, notification features, and automation options.
Service and Support: While many users spoke highly of Datadog’s support team, others reported slow support responses, especially in the Asia-Pacific region. ScienceLogic's customer service is generally considered responsive and professional. However, a few users reported delayed response times and support engineers with limited expertise.
Ease of Deployment: Datadog’s setup is considered straightforward, and users often receive help from a partner or vendor. ScienceLogic's initial setup is described as simple and efficient. The deployment process can be completed within a few hours or a couple of weeks.
Pricing: Opinions about Datadog's price are divided. Some users found it costly, but others thought it was acceptable. Some said the pricing model could be clearer and better explained. Opinions on the price of ScienceLogic were mixed. Pricing is determined by the number of network devices or endpoints, and there are no hidden charges.
ROI: Users said Datadog saved them time and improved visibility into security blind spots. ScienceLogic improves troubleshooting and minimizes network outages.
Comparison Results: Datadog is praised for its customizability, easy setup, and robust AI features, but some users say it has room for improvement in areas like usability and integration. Datadog’s pricing and customer service received mixed reviews. ScienceLogic is praised for its serverless and agent connectivity, effortless setup, and customized dashboards. However, it lacks detailed documentation and automation options.
"We can manage the entire system across the network and troubleshoot the pain points."
"We rely heavily on the API crawlers that Datadog uses for cloud integrations. These allow us to pick up and leverage the tags teams have already deployed without having also to make them add them at the agent level."
"The feature I have found most valuable is when I can reuse existing monitors and alerts for new dashboards."
"With Datadog I can look at the health of the technology stack and services."
"The most valuable aspect is for us to have everything in one place."
"Its logs are most valuable."
"The fact that everything is under a single pane of glass is really valuable, as developers don't have to spend their time copying correlation IDs across tools to find what they need."
"We have been able to set very specific CPU and memory alerts, at the very base level, then we started to pull real business value, like 99th percentile response rates for our API calls."
"The platform appeals to companies spanning many industries on a global scale."
"The most valuable features of ScienceLogic are AI and machine learning."
"It is very easy to configure because we are using an agent-less version. You can very quickly implement a collector for monitoring device servers."
"It is simple."
"Science Logic provides distributed and all-in-one concept in monitoring, you can easily customize the features in this product."
"The best feature is the highly flexible graphs."
"The power flow is great."
"The tool is quite easy to deploy, and it offers very good support."
"Its ITSM and EMS combination is really amazing. There is no need to purchase two products, one for ITSM and a second for EMS/NMS."
"The Wi-Fi side needs improvement."
"Graph filters for logs need to be set manually which works well for JSON but not for unstructured logs."
"One thing we have run into is that it is so easy to add monitoring that we turn on things without really understanding the costs."
"Ingesting data from various sources to monitor the log metrics of the system can always improve so that, if something goes wrong, the right teams are alerted."
"The Log Explorer could be better. I don't think it has log manipulation as Splunk does."
"The FinOps needs improvement."
"Datadog is expensive."
"The way data is represented can be limiting. When I first tried it out a long time ago, you could graph a metric and another metric, and they'd overlay, but you couldn't take the ratio between the two."
"The documentation leaves a lot to be desired for new users."
"They need a little more self-service."
"The product must educate its strategic partners for deployment."
"ScienceLogic should provide detailed documents to customer as the current documents are not sufficient."
"It was challenging onboarding users."
"Admins do not have direct access to the reporting."
"From a performance perspective, it needs to improve a lot."
"ScienceLogic does not have application monitoring. We definitely need something integrated within ScienceLogic to monitor applications so that we don't have to rely on monitoring tools to monitor other applications. At least the ones that are market leaders, such as SAP, Oracle, and others."
"The product is not user-friendly."
Datadog is ranked 2nd in Network Monitoring Software with 137 reviews while ScienceLogic is ranked 14th in Network Monitoring Software with 42 reviews. Datadog is rated 8.6, while ScienceLogic 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 ScienceLogic writes "Great integrations, power flow, and good support". Datadog is most compared with Dynatrace, Azure Monitor, New Relic, AWS X-Ray and AppDynamics, whereas ScienceLogic is most compared with Dynatrace, LogicMonitor, SolarWinds NPM, ServiceNow Discovery and Zabbix. See our Datadog vs. ScienceLogic report.
See our list of best Network Monitoring Software vendors, best Cloud Monitoring Software vendors, and best AIOps vendors.
We monitor all Network Monitoring Software 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.