We performed a comparison between DataRobot and Devo based on real PeerSpot user reviews.
Find out what your peers are saying about Datadog, Dynatrace, New Relic and others in AIOps."We especially like the initial part of feature engineering, because feature engineering is included in most engines, but DataRobot has an excellent way of picking up the right features."
"DataRobot can be easy to use."
"The user experience [is] well thought out and the workflows are logical. The dashboards are intuitive and highly customizable."
"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 strength of Devo is not only in that it is pretty intuitive, but it gives you the flexibility and creativity to merge feeds. The prime examples would be using the synthesis or union tables that give you phenomenal capabilities... The ability to use a synthesis or union table to combine all those feeds and make heads or tails of what's going on, and link it to go down a thread, is functionality that I hadn't seen before."
"The querying and the log-retention capabilities are pretty powerful. Those provide some of the biggest value-add for us."
"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."
"Scalability is one of Devo's strengths."
"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 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."
"If we could include our existing Python or R code in DataRobot, we could make it even better. The DataRobot that we have is specific to an industry, but most of the time we would have our own algorithms, which are specific to our own use case. If we had a way by which we could integrate our proprietary things into DataRobot with a simple integration, it would help us a lot."
"The business departments will love to work with DataRobot because they use the tool to investigate their data, such as targeting what they want to investigate. They don't need any data scientists near them. They can investigate at eye level and bring into the BI tool, or can bring it to the data scientist. Data scientists can use this tool to bring increase the solution to the maximum. All the others can use it, but not to the maximum."
"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."
"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."
"We only use the core functionality and one of the reasons for this is that their security operation center needs improvement."
"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'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."
"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."
Earn 20 points
DataRobot is ranked 20th in AIOps while Devo is ranked 10th in AIOps with 21 reviews. DataRobot is rated 8.0, while Devo is rated 8.4. The top reviewer of DataRobot writes "Easy to use, priced well, and can be customized". 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". DataRobot is most compared with Amazon SageMaker, RapidMiner, Microsoft Azure Machine Learning Studio, Datadog and Alteryx, whereas Devo is most compared with Splunk Enterprise Security, IBM Security QRadar, Microsoft Sentinel, LogRhythm SIEM and Wazuh.
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