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.
"The single dashboard is a valuable feature."
"We can manage the entire system across the network and troubleshoot the pain points."
"The observability on offer is the most useful aspect of the product."
"The most valuable feature I have found is the elastic container service."
"The biggest thing I liked was the combination of all the things - monitoring, log aggregation, and profiling."
"Even if we don't end up using Datadog, it revealed problems and optimizations to us that weren't obvious before."
"Overall, the Data UI and the usability of customer features continue to improve."
"We've found it most useful for managing Rstudio Workbench, which has its own logs that would not be picked up via Cloudwatch."
"The network map is crucial in identifying bottlenecks and determining what needs more attention."
"Its logs are most valuable."
"Power packs."
"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."
"The power flow is great."
"The solution provides good infra-monitoring features."
"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."
"One of the valuable features is rapid dashboards."
"I'm satisfied with ScienceLogicfor for what they can offer today because they can offer both serverless connectivity and agent connectivity."
"The tool is quite easy to deploy, and it offers very good support."
"The Wi-Fi side needs improvement."
"The technical support needs improvement."
"It can have an artificial intelligence component. Even though I can seamlessly look at end-to-end security, it would be better to have alerts and notifications powered by an AI engine. I am not sure if they have an AI component. We have not reached out to them or looked at it, but this is something that I keep on talking about within our company in terms of features. Such a feature would be good to have, and it would further optimize my Security Ops team's abilities."
"The ease of implementation needs improvement."
"More granular control over dashboard sharing. Timeboard sharing."
"I often have issues with the UI in my browser."
"At times, it can be hard to generate metrics out of logs."
"The product needs a better Datadog agent installation."
"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."
"The ability to find what you are looking for when starting out could be improved."
"I would like to see out-of-the-box standard dashboards for common services."
"They should improve database issues in HA and Failover mode, and provide documentation for all users , even if they are not customers."
"From a performance perspective, it needs to improve a lot."
"One important area we feel could be improved is the UI. It takes a lot of clicks to do very simple tasks."
"The product's reporting functionalities have certain shortcomings, making it an area where improvements are required."
"There are often bugs in new releases."
"They should add CLI command modes and scripts for high performance."
"It doesn't have the complete application-level topology. It could have service topology and business service monitoring. I would like to see how business service monitoring will function with agent-based installation, and how flexible and business-oriented it is for service modeling and service infrastructure. I have a lot of experience in using business service monitoring, service topology, and service hierarchy functionalities in similar products from BMC and Micro Focus (OpenView), and I want to see how these functionalities will look like in ScienceLogic."
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Datadog is ranked 2nd in IT Infrastructure Monitoring with 137 reviews while ScienceLogic is ranked 12th in IT Infrastructure Monitoring 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 Elastic Observability, whereas ScienceLogic is most compared with Dynatrace, LogicMonitor, SolarWinds NPM, Zabbix and ServiceNow Discovery. See our Datadog vs. ScienceLogic report.
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We monitor all IT Infrastructure Monitoring 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.