We compared Amazon CloudWatch and ScienceLogic based on our users' reviews in five categories. We reviewed all of the data, and you can find the conclusion below.
Features: Amazon CloudWatch users liked the solution’s simplicity, intuitive interface, and ability to handle large workloads. Users also praised CloudWatch’s comprehensive monitoring and alerts. 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: Some reviews mentioned that Amazon CloudWatch could improve performance and dashboard visualization. Others noted that the solution lacked compatibility with some databases. ScienceLogic can enhance its documentation, Power Packs, notification features, and automation options.
Service and Support: Customers generally have positive opinions about Amazon's customer service. They commended the support team for its availability and timely issue resolution. 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: Amazon CloudWatch is generally described as easy to set up. 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: Amazon CloudWatch offers a flexible pricing structure based on usage and processing without any separate licensing cost. Some users said that scaling up can be costly due to the need for additional storage space. 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: Amazon CloudWatch offers a return on investment by minimizing the need for manual monitoring. ScienceLogic improves troubleshooting and minimizes network outages.
Comparison Results: Reviewers say that Amazon CloudWatch is a simple, intuitive solution that can handle large workloads, but some mentioned dashboard visualization and customizability as areas for improvement. ScienceLogic is praised for its serverless and agent connectivity, effortless setup, and customized dashboards. However, it lacks detailed documentation and automation options.
"Amazon CloudWatch's best feature stems from its ability to monitor app performance."
"I can put it in a simple term, its simplicity is always there."
"Every time we get an alarm or have an incident, CloudWatch is always there. We use it not only for resources we've spun up in the cloud, but also for some of our on-premises resources."
"The monitoring features are valuable."
"Scheduling is a valuable feature."
"It's a very simple logging system."
"We can set CPU thresholds using the solution."
"Our team finds it overall quite useful."
"It has good monitoring capabilities across cloud environments, data centers, and hybrid environments."
"Best feature of all is detailed monitoring of services, processes, ports and SSL certificates and or web content."
"Dynamic Component Mapping is key and unique."
"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."
"One of the valuable features is rapid dashboards."
"The most valuable features of ScienceLogic are AI and machine learning."
"Power packs."
"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."
"Amazon CloudWatch's pricing needs improvement."
"Incorporating a straightforward method or a plug-and-play solution for integrating these databases with our systems, facilitating smooth data transfer, and enabling the creation of dashboards for monitoring and analysis would be beneficial."
"The dashboard and the UI could improve in Amazon CloudWatch. Additionally, they should focus on visibility inside the servers with AI and machine learning integrations. This would allow users who are using the solution to see what is happening within the system better."
"Right now, in relation to monitoring services, there are too many services and too many metrics per service."
"The product should provide more features."
"Better reporting is always something needed. That could be an answer to just about anything. But you always want better reporting, better dashboards, things that are just more dynamic and more accessible."
"The configuration capabilities could be better."
"The solution should provide human-readable metrics."
"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."
"ScienceLogic should provide detailed documents to customer as the current documents are not sufficient."
"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."
"It was challenging onboarding users."
"One important area we feel could be improved is the UI. It takes a lot of clicks to do very simple tasks."
"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."
"The product's reporting functionalities have certain shortcomings, making it an area where improvements are required."
"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."
Amazon CloudWatch is ranked 9th in Cloud Monitoring Software with 40 reviews while ScienceLogic is ranked 12th in Cloud Monitoring Software with 42 reviews. Amazon CloudWatch is rated 8.0, while ScienceLogic is rated 8.6. The top reviewer of Amazon CloudWatch writes "Instantaneous response when monitoring logs and KPIs". On the other hand, the top reviewer of ScienceLogic writes "Great integrations, power flow, and good support". Amazon CloudWatch is most compared with Zabbix, Datadog, Google Cloud's operations suite (formerly Stackdriver), Dynatrace and SolarWinds NPM, whereas ScienceLogic is most compared with Dynatrace, LogicMonitor, SolarWinds NPM, Datadog and ServiceNow Discovery. See our Amazon CloudWatch vs. ScienceLogic report.
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We monitor all Cloud 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.
