"Its ability to quickly inventory our resources, figure out interdependencies across them, and assemble a topology of your environment is brilliant. There is a price associated with it. Whenever you target a NetApp environment, it is included in the price but whenever you want to add different vendors, like VMware and Cisco, the price greatly spikes. Inventorization helps us a lot to visualize the environment."
"Cloud Secure is definitely the most valuable feature and being able to see file level activity. It gives real-time alerting on possible ransomware attacks and provides file security review. It helps us to see if something abnormal is happening on the system before it's too late."
"Among the most valuable features are the queries and reporting that allow us to look at the utilization of resources, at how well the storage is performing, and to report on which resources are being used by which business units. We can track usage across the entire environment, across applications, business units, cost centers, etc."
"It is good for giving an overview of the systems and for tracking long-term trends. It is handy for root cause analysis, e.g. it can eliminate whether storage is the cause of an issue."
"The most valuable features are logging, the extensive set of integrations, and easy jumpstart."
"The most valuable features are the dashboards and the reporting."
"Datadog's ability to group and visualize the servers and the data makes it relatively easy for the root cause analysis."
"Having a wealth of information has helped us investigate outages, and having historical data helps us tune our system."
"I like that you can build out a dashboard pretty quickly. There are some things that come out of the box that you don't really need to do, which is great because they're default settings."
"Its integration is most valuable because you can integrate it with various service providers such as AWS, .Net, etc."
"Straightforward to integrate and automate."
"The ability to send notifications based on metadata from the monitor is helpful."
"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."
"When I did need support because I was having problems with the solution, the first or the second line just didn't understand it. They were providing this only on a software as a service basis. So, they were asking all the wrong questions."
"There is room for improving the creating and managing or modifying of reports. That is still a difficult task to do and requires knowledge beyond the storage itself. I would love to see reporting improved so that we can create reports by dragging and dropping pieces into a report form and publish a report that way."
"In a perfect world we would have something built, right out-of-the-box, that can identify what we call "noise," and reduce the amount of data. You're presented with so much data when you first start the data collectors. For example, it brings back a lot of change rates that happen just because of standard computing, like profile changes and that sort of thing. Being able to identify things like that and categorize them and strip it down—and it probably can do that, I just haven't gotten there yet—would be very beneficial."
"Their pricing model needs improvement."
"The error traceability is an area that can be improved."
"I think better access to their engineers when we have a problem could be better."
"I'm still exploring the trial version, and it is fine. One thing that I haven't been able to figure out is how to retrieve a report. This is something that could be improved. I probably need to navigate to a place to access the reports."
"I'd like to see better pricing and more integration in the next release."
"The pricing model could be simplified as it feels a bit outdated, especially when you look at the billing model of compute instances vs the containers instances."
"It would be ideal if the product offered a bit more monitoring from our dashboard."
"Datadog lacks a deeper application-level insight. Their competitors had eclipsed them in offering ET functionality that was important to us. That's why we stopped using it and switched to New Relic. Datadog's price is also high."
"Datadog has a lot of documentation, but a lot of that documentation assumes you know how the service works, which can lead to confusion."
"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."
NetApp Cloud Insights is an infrastructure monitoring tool that gives you visibility into your complete infrastructure. With Cloud Insights, you can monitor, troubleshoot and optimize all your resources including your public clouds and your private data centers.
ScienceLogic is the global leader in hybrid IT monitoring for the network of everything. Over 25,000 global service providers, enterprises, and government organizations rely on ScienceLogic to significantly enhance IT efficiency, optimize operations, and ensure business continuity. ScienceLogic is the first monitoring solution to provide a comprehensive view of all IT components through a single pane of glass, whether they reside in a public cloud environment or on-premises. With over 1,500 dynamic management apps and custom dashboarding capabilities, we deliver the scale, resiliency, and automation needed to simplify the constantly evolving task of managing IT resources, services, and applications.
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Datadog is ranked 2nd in Network Monitoring Software with 26 reviews while ScienceLogic is ranked 22nd in Network Monitoring Software with 1 review. Datadog is rated 8.4, while ScienceLogic is rated 10.0. The top reviewer of Datadog writes "Provides insightful analytics and good visibility that assist with making architectural decisions". On the other hand, the top reviewer of ScienceLogic writes "It is stable and very easy to configure". Datadog is most compared with Dynatrace, Splunk, ELK Logstash, New Relic APM and Azure Monitor, whereas ScienceLogic is most compared with Dynatrace, LogicMonitor, SolarWinds NPM, IBM Tivoli NetCool OMNIbus and Splunk.
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