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."
"The single dashboard is a valuable feature."
"The ability to easily drill down into log queries quickly and efficiently has helped us to resolve several critical incidents."
"The ingestion points are unlimited and support customization. We haven't had anything yet that we haven't been able to integrate with it."
"We've found it most useful for managing Rstudio Workbench, which has its own logs that would not be picked up via Cloudwatch."
"It provides more cloud data. They tend to just get the way a service would be designed on the cloud."
"The service catalog helped improve our organization by giving a good view of the flow for our microservices applications."
"Their interface is probably one of the easiest things to use because it lets non-developers and non-engineers quickly get access to metrics and pull business value out of them. We could put together dashboards and give it to people who are non-technical, then they can see the state of the world."
"The observability pipelines are the most valuable aspect of the solution."
"The tools are powerful and intuitive to set up."
"It is simple."
"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."
"ScienceLogic allows us to create and customize a user-friendly dashboard."
"The tool is quite easy to deploy, and it offers very good support."
"It has good monitoring capabilities across cloud environments, data centers, and hybrid environments."
"One of the valuable features is rapid dashboards."
"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."
"Power packs."
"The Wi-Fi side needs improvement."
"The technical support needs improvement."
"Billing should be more transparent."
"The product needs a better Datadog agent installation."
"I found the documentation can sometimes be confusing."
"The pricing should be less of a surprise."
"I've only been using Datadog for a few months, and at first, it was frankly overwhelming in terms of both the UI and the available capabilities."
"While I like the ease of use, when compared with Tenable Nessus they could still improve their usability."
"I would like testing for data in the future."
"We need to learn more about the session reply feature inside of DD."
"Addressing duplicate IPs: There is the ability to edit the DB and fix this, but adding some logic to understand them would be a plus."
"They should improve their support process and add chat."
"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's reporting functionalities have certain shortcomings, making it an area where improvements are required."
"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."
"ScienceLogic could improve the implementation, it could be made easier."
"ScienceLogic should provide detailed documents to customer as the current documents are not sufficient."
"One important area we feel could be improved is the UI. It takes a lot of clicks to do very simple tasks."
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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.
See our list of best IT Infrastructure Monitoring vendors, best Network Monitoring Software vendors, and best Cloud Monitoring Software vendors.
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.