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."
"Going from viewing a metric to creating a monitor alerting on a metric is very easy."
"The observability pipelines are the most valuable aspect of the solution."
"The solution has helped out organization gain improved visibility."
"The dashboards are great."
"The installation step is pretty straightforward."
"We've found it most useful for managing Rstudio Workbench, which has its own logs that would not be picked up via Cloudwatch."
"I have found the logging and tracing features the most valuable."
"It is easy to navigate the menu and create tests."
"The solution provides good infra-monitoring features."
"Power packs."
"Best feature of all is detailed monitoring of services, processes, ports and SSL certificates and or web content."
"The best feature is the highly flexible graphs."
"Dynamic Component Mapping is key and unique."
"When it comes to features, the power pack is the most valuable."
"The flexibility to support most technologies. The way ScienceLogic gathers data from multiple sources is vital to our customers. As we work with new customers (often with different technology requirements), ScienceLogic is flexible enough to support our clients’ varying network needs."
"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."
"I'm not sure if Datadog can monitor K8s deployments in real-time. For instance, being able to see a deployment step by step visually. This would be helpful if there were any incidents during the deployment."
"ECS could be improved by including more tutorials for beginners to reduce the barriers to entry."
"They could have better log reporting."
"The installation is easy for me. However, if you are new to this solution it might not be so easy."
"I find the training great. That said, it is set for the LCD (lowest common denominator). Of course, this is very helpful to sell the product, yet, to really utilize the product, you need to get more detailed."
"Once agents are connected to the Datadog portal, we should be able to upgrade them quickly."
"Geo-data is also something very critical that we hope to see in the future."
"It lacks consistency in the APIs."
"The product must educate its strategic partners for deployment."
"We want to understand: how does the back end work? What if some problem occurs? What we can do? They need to provide more information."
"ScienceLogic should provide detailed documents to customer as the current documents are not sufficient."
"There are often bugs in new releases."
"They should add CLI command modes and scripts for high performance."
"They should improve database issues in HA and Failover mode, and provide documentation for all users , even if they are not customers."
"It was challenging onboarding users."
"The product is not user-friendly."
Datadog is ranked 2nd in Network Monitoring Software with 136 reviews while ScienceLogic is ranked 12th in Network Monitoring Software with 41 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, Zabbix and ServiceNow Discovery. 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.