We performed a comparison between Datadog and Logz.io based on our users’ reviews in five categories. After reading all of the collected data, you can find our conclusion below.
Comparison Results: Datadog is the winner in this comparison. According to reviews, Datadog appears to be a more mature and powerful solution. Logz.io does come out on top in the setup and pricing categories, however.
"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 useful feature for us, because of some of the issues we had previously, was the simplicity of log integrations. It's much easier with this platform to integrate log sources that might not have standard logging and things like that."
"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 querying and the log-retention capabilities are pretty powerful. Those provide some of the biggest value-add for us."
"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."
"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."
"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."
"The monitoring functionality, in general, and tagging infrastructure are great."
"We can handle debugging and find out why things are breaking in our applications."
"We find they have a very helpful alert system."
"The visibility into our network has allowed for quick diagnosis of failures, identification of underutilized or over-utilized resources, and allowed for cloud cost optimization opportunities."
"Its integration is most valuable because you can integrate it with various service providers such as AWS, .Net, etc."
"With Datadog I can look at the health of the technology stack and services."
"It has provided visibility with ease of implementation and allowed multiple teams to quickly onboard it."
"The infrastructure monitoring capabilities are really valuable. You can just log on and see everything that is happening within an IT environment."
"It is massively useful and great for testing. We can just go, find logs, and attach them easily. It has a very quick lookup. Whereas, before we would have to go, dig around, and find the server that the logs were connected to, then go to the server, download the log, and attach it. Now, we can just go straight to this solution, type in the log ID and server ID, and obtain the information that we want."
"The visualizations in Kibana are the most valuable feature. It's much more convenient to have a visualization of logs. We can see status really clearly and very fast, with just a couple of clicks."
"The other nice thing about Logz.io is their team. When it comes to onboarding, their support is incredibly proactive. They bring the brand experience from a customer services perspective because their team is always there to help you refine filters and tweak dashboards. That is really a useful thing to have. Their engagement is really supportive."
"Technical support could be better."
"Some basic reporting mechanisms have room for improvement. Customers can do analysis by building Activeboards, Devo’s name for interactive dashboards. This capability is quite nice, but it is not a reporting engine. Devo does provide mechanisms to allow third-party tools to query data via their API, which is great. However, a lot of folks like or want a reporting engine, per se, and Devo simply doesn't have that. This may or may not be by design."
"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."
"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."
"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."
"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."
"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."
"There's room for improvement within the GUI. There is also some room for improvement within the native parsers they support. But I can say that about pretty much any solution in this space."
"More pre-configured "Monitor Alerts" would be helpful."
"I've found that the documentation is lacking in certain regards."
"In the past two years, there have been a couple of outages."
"Ingesting data from various sources to monitor the log metrics of the system can always improve so that, if something goes wrong, the right teams are alerted."
"Delta traces on the Golang profiler are extremely expensive concerning memory utilization."
"Billing should be more transparent."
"There is occasional UI slowness and bugs."
"They could have better log reporting."
"When it comes to reducing our troubleshooting time, it depends. When there are no bugs in Logz.io, it reduces troubleshooting by 5 to 10 percent. When there are bugs, it increases our troubleshooting time by 200 percent or more."
"I would like granularity on alerting so we can get tentative alerts and major alerts, then break it down between the two."
"I would like them to improve how they manage releases. Some of our integrations integrate specifically with set versions. Logz.io occasionally releases an update that might break that integration. On one occasion, we found out a little bit too late, then we had to roll it back."
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Datadog is ranked 2nd in Log Management with 116 reviews while Logz.io is ranked 22nd in Log Management with 3 reviews. Datadog is rated 8.6, while Logz.io 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 Logz.io writes "Improved our troubleshooting by giving us visibility into what's going on". Datadog is most compared with Dynatrace, New Relic APM, Azure Monitor, Amazon CloudWatch and VMware Tanzu Observability by Wavefront, whereas Logz.io is most compared with Wazuh, Splunk, Elastic Security, Microsoft Sentinel and Coralogix. See our Datadog vs. Logz.io report.
See our list of best Log Management vendors.
We monitor all Log Management 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.
