DataRobot vs Zenoss Cloud comparison

DataRobot and Zenoss are both solutions in the AIOps category. DataRobot is ranked #16 with an average rating of 8.7, while Zenoss is ranked #20. DataRobot holds a 0.6% mindshare in AIOP, compared to Zenoss’s 0.5% mindshare. Additionally, 100% of DataRobot users are willing to recommend the solution, compared to 100% of Zenoss users who would recommend it.

DataRobot

Read 5 DataRobot reviews

246 Views
112 Comparison Views

100% willing to recommend

Zenoss Cloud

Read 8 Zenoss Cloud reviews

191 Views
137 Comparison Views

100% willing to recommend

DataRobot

Zenoss Cloud

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Executive SummaryUpdated on Sep 16, 2024

Zenoss Cloud and DataRobot are competitive products in the tech sector. DataRobot seems to have the upper hand due to its advanced AI features.

Features: Zenoss Cloud offers comprehensive monitoring, alerting capabilities, and cloud-based solutions. DataRobot provides machine learning automation, advanced predictive analytics, and AI-driven insights.

Room for Improvement: Zenoss Cloud needs better documentation, enhanced integration options, and more intuitive user interfaces. DataRobot requires improved scalability, a more intuitive configuration process, and better onboarding support.

Ease of Deployment and Customer Service: Zenoss Cloud is praised for straightforward deployment and responsive customer service, while DataRobot has mixed reviews on deployment ease but is noted for strong customer support once implemented.

Pricing and ROI: Zenoss Cloud users feel the pricing aligns well with its features and see a good ROI. DataRobot users find the initial setup cost high but feel the long-term ROI justifies the expense due to the advanced analytical features.

To learn more, read our detailed DataRobot vs. Zenoss Cloud Report (Updated: March 2025).

Buyer's Guide

DataRobot vs. Zenoss Cloud

March 2025

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

DataRobot

Ranking in AIOps

16th

Average Rating

8.6

Reviews Sentiment

7.2

Number of Reviews

Ranking in other categories

Predictive Analytics (5th), AI Development Platforms (12th)

Zenoss Cloud

Ranking in AIOps

20th

Average Rating

8.4

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Application Infrastructure (33rd), Event Monitoring (14th), Network Monitoring Software (76th), Server Monitoring (23rd), IT Infrastructure Monitoring (53rd), Container Monitoring (10th), Cloud Monitoring Software (40th)

Mindshare comparison

As of April 2025, in the AIOps category, the mindshare of DataRobot is 0.6%, up from 0.2% compared to the previous year. The mindshare of Zenoss Cloud is 0.5%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

AIOps

Featured Reviews

SagarYadav

Staff Specialist Data Scientist at BMC Software, Inc.

Automating model comparison speeds up development and reduces timelines

DataRobot is equipped with a GUI-based approach that simplifies the process of feature engineering and model training. It provides AutoML capabilities, which allow for comparing thousands of models and selecting the best-suited one based on business requirements. By automating highly technical aspects like model comparison, DataRobot enhances productivity and reduces project timelines from three months to less than one month.

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ClaudiaChen

Cloud Architect - Senior Technology Architect at Telstra

Generates close to real-time alerts so users can resolve issues, but needs more integration and public cloud monitoring features

As Zenoss Service Dynamics is more for network-centric devices and you want to monitor, for example, a server, its services, IP addresses, and interfaces, if it's a network and you're going to monitor multiple items, you'll be charged multiple times. This is what Zenoss Service Dynamics needs to improve to make sure that customers pay just one fee to monitor the entire server. What I'd like to see in Zenoss Service Dynamics in the future is a public cloud monitoring feature, particularly for the Azure public cloud. Another additional feature I'd like to see in the next release of the solution is integration with the Azure public cloud because I know that there are some services from Azure that Zenoss Service Dynamics is currently unable to monitor.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"DataRobot can be easy to use."

"It's easy to do MLOps operations. It's a lot easier to manage jobs and see the logs if there's any drift in a model."

"DataRobot is highly automated, allowing data scientists to build models easily."

"By automating highly technical aspects like model comparison, DataRobot enhances productivity and reduces project timelines from three months to less than one month."

"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."

"The most valuable feature is the flexible discovery mechanism."

"They have also accommodated many state-of-the-art technologies like Docker and ZooKeeper."

"The product offers good documentation that helps with initial training."

"The custom built integration is one of the most valuable features because you can see all the especially critical items."

"What I like most about Zenoss Service Dynamics is that it monitors the devices and gives close to real-time alerts. For example, in case the device is not available, Zenoss Service Dynamics generates an alert so my team can resolve the issue."

"Its Docker Container concept is mind blowing. It is the first monitoring tool which comes with Docker features."

"It's easy to use."

Cons

"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."

"DataRobot is a UI-based tool, which means it cannot provide all the features I might manually implement through notebooks or Python. In this aspect, I see room for improvement in its functionality."

"There are some performance issues."

"Generative AI has taken pace, and I would like to see how DataRobot assists in doing generative AI and large language models."

"There is room for improvement with the administrative part. They introduced Control Center to manage things in Zenoss 5. The services that Zenoss provides remained the same, but the administrative part, since they introduced Docker, etc., has become a little complex"

"The AI aspect needs to improve."

"As Zenoss Service Dynamics is more for network-centric devices and you want to monitor, for example, a server, its services, IP addresses, and interfaces, if it's a network and you're going to monitor multiple items, you'll be charged multiple times. This is what Zenoss Service Dynamics needs to improve to make sure that customers pay just one fee to monitor the entire server. What I'd like to see in Zenoss Service Dynamics in the future is a public cloud monitoring feature, particularly for the Azure public cloud. Another additional feature I'd like to see in the next release of the solution is integration with the Azure public cloud because I know that there are some services from Azure that Zenoss Service Dynamics is currently unable to monitor."

"There was a problem with Zenoss and storage monitoring."

"The inclusion of a feature to show a graphical view of the network would be a helpful improvement."

"Now it is stable, but they should design threshold parameters in percentage instead of raw values."

"It would be ideal if the product offered sound alerts."

Pricing and Cost Advice

"The price of DataRobot is good because if you take the price of the solution which is approximately $65,000, it is less than a data scientist. There are very few data scientists available."

"We dropped the plan to use DataRobot, because we found the pricing to be on the higher sise. We liked DataRobot a lot, but due to the pricing, we dropped that idea."

"There are additional costs you'll have to pay apart from the license fee for Zenoss Service Dynamics. I can't remember exactly how much my company is paying because I don't handle the finance part, but the cost is paid annually. On a scale of one to five, with one being the cheapest and five being the most expensive, I'm rating the solution three out of five."

"It is very cost-effective compared to the tools I worked with in the past. The company is gaining a lot with respect to the cost factor. It provides agentless monitoring and in a very cheap way."

"The pricing depends on the environment, the number of services, and the size of the data center. It can go from $100,000 to a million dollars."

"It depends on the customer, what he wants."

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Top Industries

By visitors reading reviews

Educational Organization

20%

Financial Services Firm

13%

Manufacturing Company

Computer Software Company

24%

Financial Services Firm

13%

Manufacturing Company

Insurance Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What needs improvement with DataRobot?

DataRobot is a UI-based tool, which means it cannot provide all the features I might manually implement through notebooks or Python. In this aspect, I see room for improvement in its functionality.

See all answers

What is your primary use case for DataRobot?

In our day-to-day use, I utilize DataRobot to speed up our development process through its GUI capability. Once I set up our connection with a back-end data set, whatever the project I work on next...

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What advice do you have for others considering DataRobot?

I would recommend DataRobot because if there is something not included in the UI, I have the freedom to use its Python API, which extends the capability for different use cases. Additionally, I wou...

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What is the best network monitoring software for large enterprises?

In my experience, I worked with many monitoring software, but the one that gave me the most functionalities of a large-scale company is Zenoss, due to its ability to monitor completely hybrid and a...

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Microsoft Azure Machine Learning Studio vs DataRobot

Compared 11% of the time

Altair RapidMiner vs DataRobot

Compared 10% of the time

Alteryx vs DataRobot

Compared 8% of the time

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Compared 15% of the time

Centreon vs Zenoss Cloud

Compared 12% of the time

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Product Reports

Buyer's Guide

Predictive Analytics

March 2025

Download DataRobot product report

Buyer's Guide

Zenoss Cloud

March 2025

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Also Known As

No data available

Cloud Monitoring, Zenoss Service Dynamics

Overview

DataRobot captures the knowledge, experience and best practices of the world’s leading data scientists, delivering unmatched levels of automation and ease-of-use for machine learning initiatives. DataRobot enables users to build and deploy highly accurate machine learning models in a fraction of the time.

DataRobot

Zenoss Cloud revolutionizes IT infrastructure monitoring with a service-centric approach, prioritizing the overall health of services and applications. Harnessing the power of Artificial Intelligence and Machine Learning (AIOps), Zenoss Cloud offers end-to-end visibility across servers, networks, storage, and applications. Real-time monitoring, event correlation, and automated remediation ensure immediate insights and efficient issue resolution. The customizable dashboards empower users to tailor visualizations to their needs, while scalability accommodates diverse infrastructures. Zenoss Cloud guarantees improved application performance, reduced downtime, and enhanced IT efficiency, making it an ideal choice for businesses of all sizes, from small enterprises seeking simplicity to large corporations requiring advanced scalability. Experience unified monitoring and proactive management with Zenoss Cloud, a comprehensive solution that transforms IT infrastructure optimization in today's complex environments.

Zenoss

Sample Customers

Harmoney, Zidisha, ONE Marketing, DonorBureau, Trupanion, Avant

2degrees, Rackspace, State of North Dakota, El Paso Independent School District, NWN Corporation

Buyer's Guide

DataRobot vs. Zenoss Cloud

March 2025

Free Report: DataRobot vs. Zenoss Cloud

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