"It's very, very versatile."
"The most valuable feature is definitely the ability that Devo has to ingest data. From the previous SIEM that I came from and helped my company administer, it really was the type of system where data was parsed on ingest. This meant that if you didn't build the parser efficiently or correctly, sometimes that would bring the system to its knees. You'd have a backlog of processing the logs as it was ingesting them."
"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."
"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 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."
"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."
"Devo provides a multi-tenant, cloud-native architecture. This is critical for managed service provider environments or multinational organizations who may have subsidiaries globally. It gives organizations a way to consolidate their data in a single accessible location, yet keep the data separate. This allows for global views and/or isolated views restricted by access controls by company or business unit."
"The most valuable feature is that it has native MSSP capabilities and maintains perfect data separation. It does all of that in a very easy-to-manage cloud-based solution."
"Having a wealth of information has helped us investigate outages, and having historical data helps us tune our system."
"I have found error reporting and log centralization the most valuable features. Overall, Datadog provides a full package solution."
"The solution is sufficiently stable."
"Sometimes it's more user friendly for development teams. There are some parts of Datadog that are more understandable for development teams. For example, the APM in Datadog works more manually and works like the tools in New Relic or Grafana, or Elastic. It is easier to understand for software development teams."
"The application performance monitoring is pretty good."
"The most valuable features are logging, the extensive set of integrations, and easy jumpstart."
"Because of our client focus, it is easy for us to sell. This is because it is easy to use and easy to set up."
"Straightforward to integrate and automate."
"I like the monitoring feature."
"Google's technical support is very good."
"Provides visibility into the performance uptime."
"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."
"Devo has a lot of cloud connectors, but they need to do a little bit of work there. They've got good integrations with the public cloud, but there are a lot of cloud SaaS systems that they still need to work with on integrations, such as Salesforce and other SaaS providers where we need to get access logs."
"The Activeboards feature is not as mature regarding the look and feel. Its functionality is mature, but the look and feel is not there. For example, if you have some data sets and are trying to get some graphics, you cannot change anything. There's just one format for the graphics. You cannot change the size of the font, the font itself, etc."
"One major area for improvement for Devo... is to provide more capabilities around pre-built monitoring. They're working on integrations with different types of systems, but that integration needs to go beyond just onboarding to the platform. It needs to include applications, out-of-the-box, that immediately help people to start monitoring their systems. Such applications would include dashboards and alerts, and then people could customize them for their own needs so that they aren't starting from a blank slate."
"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."
"From our experience, the Devo agent needs some work. They built it on top of OS Query's open-source framework. It seems like it wasn't tuned properly to handle a large volume of Windows event logs. In our experience, there would definitely be some room for improvement. A lot of SIEMs on the market have their own agent infrastructure. I think Devo's working towards that, but I think that it needs some improvement as far as keeping up with high-volume environments."
"Technical support could be better."
"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."
"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."
"In the past two years, there have been a couple of outages."
"Lacks some flexibility in the customization."
"Its pricing model can be improved. Its settings should be improved for a better understanding of billing. They should also provide some alerts when there is an increase in the usage. For example, if there is 20% more increase from one week to another, the customer should get an alert."
"More pre-configured "Monitor Alerts" would be helpful."
"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 can have a more modernized pricing mechanism. We're actually working with them to figure out how to become more modular and have a better and more modernized pricing mechanism. The issue with Datadog is that you have to buy the whole suite of different products, and you kind of get stuck in the old utilization of 40% of their suite. Most organizations today break down between application development, networking, and security. Therefore, there should be a way to break down different modules into just app dev, infosec, networking, etc. Customers have various needs across their business lines, and sometimes, they're just not willing to have tools that they're not using 100%. AppDynamics is probably a little bit better in terms of being modular."
"Datadog could improve the flexibility with AI and ML concepts. This will allow customers to be more leveraged towards publishing."
"It could be more stable."
"Lacking sufficient operations documentation."
"While we are satisfied with the overall performance, in certain cases we must add additional metrics and additional tools like Grafana and Dynatrace."
See how Devo allows you to free yourself from data management, and make machine data and insights accessible.
Datadog is ranked 2nd in Application Performance Management (APM) with 33 reviews while Google Stackdriver is ranked 17th in Application Performance Management (APM) with 3 reviews. Datadog is rated 8.4, while Google Stackdriver is rated 8.0. 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 Google Stackdriver writes "Provides visibility into the performance uptime and the overall health of our cloud applications". Datadog is most compared with Dynatrace, New Relic APM, Azure Monitor, Splunk and AWS X-Ray, whereas Google Stackdriver is most compared with Azure Monitor, AWS X-Ray, Elastic Security, Amazon CloudWatch and New Relic APM. See our Datadog vs. Google Stackdriver report.
See our list of best Application Performance Management (APM) vendors, best Log Management vendors, and best Cloud Monitoring Software vendors.
We monitor all Application Performance Management (APM) 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.
