We performed a comparison between Datadog and Devo based on real PeerSpot user reviews.
Find out in this report how the two AIOps solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The visibility that it provides is valuable. It is helping in being proactive around incident management. It is helping us to be able to get more visibility into our customers' applications so that we can assist them at the application layer. We also provide them the infrastructure from an AWS standpoint. We are able to make sure that our customers are aware of certain critical things around the analytical piece of either the network or the application. We're able to call customers before they even know about the issue. From there, we can start putting together some change management processes and help them a bit."
"We've been able to glean from the monitors what servers are down, and can alert the team in Slack."
"Datadog has clear dashboards and good documentation."
"It is great that creating an incident is possible from Slack while having all the relevant data in Datadog."
"We have been able to set very specific CPU and memory alerts, at the very base level, then we started to pull real business value, like 99th percentile response rates for our API calls."
"I like the amount of tooling and the number of solutions they sold with their monitoring. Datadog was highly intuitive to use."
"The ingestion points are unlimited and support customization. We haven't had anything yet that we haven't been able to integrate with it."
"The CCM, Workflows, Logs, APM, and RUM are all useful aspects of the solution."
"Devo helps us to unlock the full power of our data because they have more than 450 parsers, which means that we can ingest pretty much any type of log data."
"Being able to build and modify dashboards on the fly with Activeboards streamlines my analyst time because my analysts aren't doing it across spreadsheets or five different tools to try to build a timeline out themselves. They can just ingest it all, build a timeline out across all the logging, and all the different information sources in one dashboard. So, it's a huge time saver. It also has the accuracy of being able to look at all those data sources in one view. The log analysis, which would take 40 hours, we can probably get through it in about five to eight hours using Devo."
"The user experience [is] well thought out and the workflows are logical. The dashboards are intuitive and highly customizable."
"The most powerful feature is the way the data is stored and extracted. The data is always stored in its original format and you can normalize the data after it has been stored."
"The real-time analytics of security-related data are super. There are a lot of data feeds going into it and it's very quick at pulling up and correlating the data and showing you what's going on in your infrastructure. It's fast. The way that their architecture and technology works, they've really focused on the speed of query results and making sure that we can do what we need to do quickly. Devo is pulling back information in a fast fashion, based on real-time events."
"The user interface is really modern. As an end-user, there are a lot of possibilities to tailor the platform to your needs, and that can be done without needing much support from Devo. It's really flexible and modular. The UI is very clean."
"In traditional BI solutions, you need to wait a lot of time to have the ability to create visualizations with the data and to do searches. With this kind of platform, you have that information in real-time."
"One of the biggest features of the UI is that you see the actual code of what you're doing in the graphical user interface, in a little window on the side. Whatever you're doing, you see the code, what's happening. And you can really quickly switch between using the GUI and using the code. That's really useful."
"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 would be great if usage metrics were automatically created and we could create custom metrics, instead we ended up building some of our own stuff to track and alert on our own usage."
"As a new customer, the Datadog user interface is a bit daunting."
"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."
"Their security features could be improved. We looked at their Security Monitoring feature but it was early in its development. Datadog are just getting into the security space so I'm sure this will improve in the future."
"There are things about it that we would like to be fixed, such as it is taking averages of average. This results in data that we don't expect."
"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."
"One thing we have run into is that it is so easy to add monitoring that we turn on things without really understanding the costs."
"There are some issues from an availability and functionality standpoint, meaning the tool is somewhat slow. There were some slow response periods over the past six to nine months, though it has yet to impact us terribly as we are a relatively small shop. We've noticed it, however, so Devo could improve the responsiveness."
"Where Devo has room for improvement is the data ingestion and parsing. We tend to have to work with the Devo support team to bring on and ingest new sources of data."
"I would like to have the ability to create more complex dashboards."
"We only use the core functionality and one of the reasons for this is that their security operation center needs improvement."
"Some of the documentation could be improved a little bit. A lot of times it doesn't go as deep into some of the critical issues you might run into. They've been really good to shore us up with support, but some of the documentation could be a little bit better."
"The biggest area with room for improvement in Devo is the Security Operations module that just isn't there yet. That goes back to building out how they're going to do content and larger correlation and aggregation of data across multiple things, as well as natively ingesting CTI to create rule sets."
"Technical support could be better."
"Their documentation could be better. They are growing quickly and need to have someone focused on tech writing to ensure that all the different updates, how to use them, and all the new features and functionality are properly documented."
Datadog is ranked 1st in AIOps with 137 reviews while Devo is ranked 10th in AIOps with 21 reviews. Datadog is rated 8.6, while Devo is rated 8.4. The top reviewer of Datadog writes "Very good RUM, synthetics, and infrastructure host maps". On the other hand, the top reviewer of Devo writes "Keeps 400 days of hot data, covers our cloud products, and has a high ingestion rate and super easy log integrations". Datadog is most compared with Dynatrace, Azure Monitor, New Relic, AWS X-Ray and Elastic Observability, whereas Devo is most compared with Splunk Enterprise Security, IBM Security QRadar, Microsoft Sentinel, LogRhythm SIEM and Sumo Logic Security. See our Datadog vs. Devo report.
See our list of best AIOps vendors and best Log Management vendors.
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