We performed a comparison between Datadog and Devo based on real PeerSpot user reviews.
Find out in this report how the two Log Management solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."Thanks to the logs, we manage to make better reports through Jira and also to trace the request with more facility than we would be able to do otherwise."
"The fact that everything is under a single pane of glass is really valuable, as developers don't have to spend their time copying correlation IDs across tools to find what they need."
"The solution has improved the organization by providing good insights into app performance and offering good dashboards."
"The solution has helped our organization with custom events to track specific cases."
"The performance of Datadog is good."
"It has saved us a lot of trouble in implementation."
"The most valuable features have been: Sharable dashboards, TimeBoards, dogstatsd API, Slack Integration, Event logging API. CloudTrail Events, Tags, alerts, and anomaly detection. EBS Volume Snapshot Age, which they added upon request."
"The application performance monitoring is pretty good."
"It's very, very versatile."
"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."
"The ability to have high performance, high-speed search capability is incredibly important for us. When it comes to doing security analysis, you don't want to be doing is sitting around waiting to get data back while an attacker is sitting on a network, actively attacking it. You need to be able to answer questions quickly. If I see an indicator of attack, I need to be able to rapidly pivot and find data, then analyze it and find more data to answer more questions. You need to be able to do that quickly. If I'm sitting around just waiting to get my first response, then it ends up moving too slow to keep up with the attacker. Devo's speed and performance allows us to query in real-time and keep up with what is actually happening on the network, then respond effectively to events."
"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."
"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."
"The alerting is much better than I anticipated. We don't get as many alerts as I thought we would, but that nobody's fault, it's just the way it is."
"The thing that Devo does better than other solutions is to give me the ability to write queries that look at multiple data sources and run fast. Most SIEMs don't do that. And I can do that by creating entity-based queries. Let's say I have a table which has Okta, a table which has G Suite, a table which has endpoint telemetry, and I have a table which has DNS telemetry. I can write a query that says, 'Join all these things together on IP, and where the IP matches in all these tables, return to me that subset of data, within these time windows.' I can break it down that way."
"Those 400 days of hot data mean that people can look for trends and at what happened in the past. And they can not only do so from a security point of view, but even for operational use cases. In the past, our operational norm was to keep live data for only 30 days. Our users were constantly asking us for at least 90 days, and we really couldn't even do that. That's one reason that having 400 days of live data is pretty huge. As our users start to use it and adopt this system, we expect people to be able to do those long-term analytics."
"The real issue with this product is cost control."
"The product could be improved by providing remote control to agents, enabling them to execute automation and collections without requiring another automation tool or integration."
"Once Datadog has gained wide adoption, it can often be overwhelming to both know and understand where to go to find answers to questions."
"We would like to see smaller or shorter tutorials and video sessions."
"Datadog could always lower the price!"
"When I started using it years ago, it had stability problems. I remember, specifically, we ran everything in Docker containers. There were some problems getting it into a Docker container with very specific memory limits."
"The setup was a bit complex."
"Once agents are connected to the Datadog portal, we should be able to upgrade them quickly."
"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."
"I would like to have the ability to create more complex dashboards."
"There's always room to reduce the learning curve over how to deal with events and machine data. They could make the machine data simpler."
"The overall performance of extraction could be a lot faster, but that's a common problem in this space in general. Also, the stock or default alerting and detecting options could definitely be broader and more all-encompassing. The fact that they're not is why we had to write all our own alerts."
"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."
"Some third-parties don't have specific API connectors built, so we had to work with Devo to get the logs and parse the data using custom parsers, rather than an out-of-the-box solution."
"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."
"An admin who is trying to audit user activity usually cannot go beyond a day in the UI. I would like to have access to pages and pages of that data, going back as far as the storage we have, so I could look at every command or search or deletion or anything that a user has run. As an admin, that would really help. Going back just a day in the UI is not going to help, and that means I have to find a different way to do that."
Datadog is ranked 3rd in Log Management with 137 reviews while Devo is ranked 17th in Log Management 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 and LogRhythm SIEM. See our Datadog vs. Devo report.
See our list of best Log Management vendors and best AIOps vendors.
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