We performed a comparison between Datadog and HPE OneView based on real PeerSpot user reviews.
Find out in this report how the two IT Infrastructure Monitoring solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The platform appeals to companies spanning many industries on a global scale."
"Flame graphs are pretty useful for understanding how GraphQL resolves our federated queries when it comes to identifying slow points in our requests. In our microservice environment with 170 services."
"The performance of Datadog is good."
"The flexibility to create notebooks and dashboards and fully customize them gives us a lot of power to track the exact services and endpoints we are working on."
"The most valuable features are logging, the extensive set of integrations, and easy jumpstart."
"Its logs are most valuable."
"It brings in observability, monitoring, and alerting capabilities - all of which we need to operate at scale."
"The tools are powerful and intuitive to set up."
"Firmware compliance is one of the most valuable features."
"It monitors all our servers, and if there is any problem it straight away sends us an alert. If It's a faulty component, we can see it from there. It sends an alert."
"Have a single plane of glass across all of the server platforms."
"The best part is that you can integrate a two-way network. Earlier we could not manage the storage and ToR switch. Now we can create a LAN with our storage without any interface. In terms of switch management, it is now easy to understand the current configuration. It provides centralized management. It provides a single pane, and you can easily do all updates in one shot. It is a great product."
"We cannot function without this solution. "
"The OneView Global Dashboard is very user-friendly and it can be used for monitoring the power consumption and temperature of the data center and racks."
"Easy to see if all my servers are on correct firmware levels, with SPP packaging."
"It's rather simple to use, and that's very important for us."
"Since the Datadog platform has so many separate features, solving so many use cases, there are often inconsistencies in feature availability and interoperability between products."
"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."
"It seems that admin cost control granularity is an afterthought."
"It lacks consistency in the APIs."
"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."
"For three to four months, we have been experiencing real-time delays. For example, if we're monitoring incoming traffic, the real-time status should be displayed up to a certain point. However, due to delays or issues with Datadog, the real-time data might only be updated at an earlier time. We are experiencing consistent delays in data updates from Datadog, with the most recent data often being delayed by about an hour. This issue has been ongoing for the past four months."
"It could use some additional features when working with metrics like Grafana or like New Relic has. Datadog does not use library technologies like Dynatrace does. Datadog has machine learning too, but it does not have this option in all layers of monitoring like infrastructure service process in applications."
"I found the solution to be stable, I did not experience any bugs or glitches. However, some of the managing team did."
"I have to chop it up into smaller parts, because I have an installation in Europe and it covers the whole world. That is not so good. They need to be more localized, so I am going to chop it up into smaller bits."
"We've had issues, for example, with RAM."
"It's a little slow sometimes. Overall, I think it does what it's supposed to do. I think that as they evolve it, it'll get quicker."
"The solution could add storage, integration services, and end-to-end support for Cisco switches or other competitor products."
"I had some minor difficulties with upgrading, but the solution still works fine."
"Use it, but do not think it is going into the clouds, because it is not. There is room for improvement."
"Those features, coming in version 4, that we're looking for are the discovery, primarily. But I think the scope-based access control is of interest, although, we didn't see any directory integration, so that, in itself, seems like it's still limited."
"We have a version 3 and a version 1.2, but the upgrade process from the 1.2 to the 3 is kind of an issue."
Datadog is ranked 2nd in IT Infrastructure Monitoring with 137 reviews while HPE OneView is ranked 16th in IT Infrastructure Monitoring with 80 reviews. Datadog is rated 8.6, while HPE OneView is rated 8.0. The top reviewer of Datadog writes "Very good RUM, synthetics, and infrastructure host maps". On the other hand, the top reviewer of HPE OneView writes "Provides firmware compliance and the ability to connect to iPO". Datadog is most compared with Dynatrace, Azure Monitor, New Relic, AWS X-Ray and Elastic Observability, whereas HPE OneView is most compared with Cisco Intersight, Dell CloudIQ, Zabbix, Lenovo XClarity Orchestrator and ServiceNow IT Operations Management. See our Datadog vs. HPE OneView report.
See our list of best IT Infrastructure Monitoring vendors.
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