DataRobot vs LogicMonitor comparison

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DataRobot

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Executive SummaryUpdated on Sep 16, 2024

LogicMonitor and DataRobot are two prominent tools in the tech landscape, each catering to different monitoring and machine learning needs. LogicMonitor seems to have the upper hand in terms of pricing and customer support, while DataRobot stands out for its advanced features and robustness.

Features: LogicMonitor's valuable features include comprehensive infrastructure monitoring, scalability, and integration capabilities. DataRobot is praised for its automated machine learning, ease of use in building models, and predictive analytics.

Room for Improvement: LogicMonitor users suggest enhancements in reporting features, better customization options, and usability improvements. DataRobot users recommend improvements in deployment flexibility, increased transparency in algorithm selection, and technical advancements.

Ease of Deployment and Customer Service: LogicMonitor offers a quick and straightforward deployment process and receives favorable reviews for customer support. DataRobot’s deployment is perceived as more complex by users, but its customer service is also well-received.

Pricing and ROI: LogicMonitor is noted for its cost-effectiveness and delivers a higher ROI according to user reviews. DataRobot, although more expensive, is considered to provide substantial value through advanced features.

To learn more, read our detailed DataRobot vs. LogicMonitor Report (Updated: September 2025).

DataRobot vs. LogicMonitor

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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 (14th)

LogicMonitor

Ranking in AIOps

13th

Average Rating

9.0

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

Application Performance Monitoring (APM) and Observability (26th), Network Monitoring Software (24th), IT Infrastructure Monitoring (23rd), Container Monitoring (7th), Cloud Monitoring Software (18th)

Mindshare comparison

As of October 2025, in the AIOps category, the mindshare of DataRobot is 0.5%, up from 0.5% compared to the previous year. The mindshare of LogicMonitor is 4.2%, up from 3.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

AIOps Market Share Distribution
Product	Market Share (%)
LogicMonitor	4.2%
DataRobot	0.5%
Other	95.3%

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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Henry-Steinhauer

Systems Engineer at LifePoint Health

They have an active community of users who are willing to share their experiences and how they have extended the solution to do unusual things.

I'm a learn-by-example person, so it would be nice to have a cookbook for enterprise management. They have a rich API process, but there aren't many examples of how to do enterprise-style work. It is peculiar about how to do it for one device, but not necessarily thousands. LogicMonitor can effortlessly pull data from one item at a time. I have yet to find an excellent way to get LogicMonitor to show me all the WAN devices and how they're doing in terms of capacity.

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

"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 can be easy to use."

"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."

"It is easy to set up and monitor an entire facility. This is crucial because we have around 80 facilities that require monitoring. LifePoint is a hub-and-spoke environment, so it is essential to understand all of the WAN interfaces."

"We have very fine-tuned alerting that lets us know when there are issues by identifying where exactly that issue is, so we can troubleshoot and resolve them quickly. This is hopefully before the customer even notices. Then, it gives us some insight into potential issues coming down the road through our environmental health dashboards."

"LogicMonitor helps us prevent potential downtime. It's pretty good. It generates low-level warnings that aren't necessarily preemptive but can still alert us to issues we should investigate. These warnings allow us to correlate data and identify areas where we should take action, even if the issues aren't critical."

"We only have one monitoring tool, and that is LogicMonitor. It does pretty much everything we need under one roof. They are very good at rapidly releasing new features. It's not like we have to wait six months or a year between new features and data sources. There is very quick development. If there is something that doesn't do it for us, I know I can just raise it with support or our delivery representative, and there is a good chance that that will be looked at. If it's not too much effort, we will see it released in the next few months. So, the solution is very good from that perspective. We have everything in LogicMonitor."

"LogicMonitor saves time in terms of its ability to proxy a connection through a device. For example, if you are troubleshooting a device, which you may want to connect to, you can proxy this connection through the platform. As a support resource, I don't need to use multiple platforms to connect to a device to further investigate the issue. It is all consolidated. From that perspective, it saves time because a resource now only needs to use one platform."

"The dashboards are the big seller for us. When our customers can see those graphs and are able to interact with the data, that is valuable. They can easily adjust time ranges and the graphs display the data fast. We've used other tools in the past, where you'd say, "Hey, I want the last three months of data on a graph," and it would just sit there and crunch for five minutes before you'd actually see the data. With LogicMonitor, the fast reliability of those dashboards is huge."

"LogicMonitor is good for getting a full view of your topologies. They have LiveMaps, which give you a visual representation of your infrastructure."

"LogicMonitor improved on-premises infrastructure monitoring in several ways. One key feature was dynamic resource allocation, although we didn't utilize it much in our system. The main functionalities we benefited from were email alerts, network mapping, and dashboards."

More LogicMonitor pros

Cons

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

"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."

"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."

"LogicMonitor should always improve AI because we are always striving for real intelligence. An additional feature we'd like to see in the next release of LogicMonitor is more in the area of identification of when the dominant workload is working. There are certain devices and applications that have cycles of their own. Some are used primarily during prime time, and some are used during the overnight timeframe, and better identification and classification of those workloads would be helpful. For example, we could then do some more planning about, for this particular set of devices, as it has a prime time environment, and we don't want to see a 24-hour average, as we want to see what is the 75th or 90th percentile utilization during the prime time when it is being used, whenever that prime time is."

"We are working with LogicMonitor to get flexibility to see the absolute running numbers, rather than doing an average. They can keep the average for customers who want it, but there should be a way to at least show the real numbers, which are coming every second on the screen."

"There is a lack of automation, especially in terms of remediating problems. The problem is seen and identified, but there is a need and a gap where LogicMonitor can help us automate the remediation of the problem."

"LogicMonitor's reporting capabilities definitely could use an improvement. We have made do with the dashboarding and done what we can to make that work for our customers. However, there are definitely customers who would like a PDF or some kind of report along those lines, where we have been utilizing other tools to provide them. The out-of-the-box LogicMonitor reporting is the only thing that we have been less than impressed with."

"Role-based permissions could be better and updating modules could be smoother."

"One thing I would like to see is parent/child relationships and the ability to build a "suppression parent/child." For example, If I know that a top gateway is offline and I can't talk to it anymore, and anything that's connected below it or to it is also going to be offline, there is no need to alarm on those. In that situation it should create one ticket or one alarm for the parent. I know they're working towards that with their mapping technology, but it's not quite to that level where you can build out alarm logic or a correlation logic like that."

"I'd like to see more automation in the tool, especially around remediation."

"Their Logs feature is quite new. It is not as feature-rich as we would like it to be. There have been a couple of conversations internally around other log management tools, like Splunk, which may do more for us than LM Logs. The benefit of LogicMonitor is that our staff know how to use it, so we don't really want to move away from it, if we don't have to. I fully expect there to be more development in this area. It is their newest feature, so it is understandable that it hasn't evolved as some of the other stuff. It would be good to see a bit more development in this area, but I think the monitoring side of things is spot on."

More LogicMonitor cons

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."

"The pricing can be a little aggressive. Right now, it's a bit much for smaller organizations to adopt it. But comparatively, it also provides good features."

"I know we are saving at least several hundred thousand dollars in that we're not buying Cisco Prime."

"As a managed service provider, we have the highest level of licensing that they offer, so we don't have any extra fees. I believe there are some add-ons for some of the lower tiers of LogicMonitor service, but that's not something that we use with our agreement."

"The licensing side of things with LogicMonitor, is quite simple. It is one license per device. Recently, you have additional licenses with things, like LM Cloud, which does confuse things a bit. Because it's very hard to estimate how many licenses you're going to need until you're monitoring it, so it's quite hard through that process to give a customer price to say, "This is how much this services will cost.""

"LogicMonitor is competitively priced at the same level as other vendors, like Datadog."

"We've had customers who have reduced their costs by not having multiple platforms for monitoring. That said, especially with super-large environments, the cost model for LogicMonitor is the one area where we run into issues."

"We pay for the enterprise tech support."

"It can handle scaling. It is like any other cloud service. There is a cost associated with scaling, so we currently don't monitor all of our environments. We monitor just the customer-facing production environments. It would be nice if we could monitor our dominant environments, but we will have to pay a lot more due to the scaling issue. So, there's a balance there between what we would like and what we are willing to pay for."

More LogicMonitor pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

15%

Manufacturing Company

11%

Computer Software Company

11%

Retailer

Computer Software Company

15%

Manufacturing Company

11%

Financial Services Firm

11%

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	10
Midsize Enterprise	9
Large Enterprise	8

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.

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...

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...

What is the best network monitoring software for large enterprises?

It actually depends on the exact purpose or requirements. Some tools are better for only network devices while others are better from a cloud monitoring or APM monitoring perspective. You can check...

What do you like most about LogicMonitor?

LogicMonitor helps us prevent potential downtime. It's pretty good. It generates low-level warnings that aren't necessarily preemptive but can still alert us to issues we should investigate. These ...

What is your experience regarding pricing and costs for LogicMonitor?

The pricing can vary yearly or monthly, depending on the clients we're working with and their size and scale. For example, the pricing for a customer with ten thousand licenses versus a hundred lic...

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Product Reports

Predictive Analytics

Download DataRobot product report

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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

LogicMonitor offers flexible IT monitoring with customizable dashboards and robust alerting capabilities. It integrates seamlessly with third-party apps like ServiceNow and provides a single-pane view for diverse IT environments, aiding in proactive issue resolution and enhancing operational efficiency.

LogicMonitor stands out with its capability to monitor diverse infrastructures including Cisco Voice systems, data centers, and virtual environments. Supporting servers, storage, networking devices, and applications, it provides seamless integration with cloud services like AWS and Azure. Users leverage its scalability and flexibility, benefiting from dynamic thresholds, anomaly detection, and detailed visualization. All these features contribute to improved management of IT assets and streamlined operations. Users suggest improvements in mapping, reporting, and automation for remediation, desiring more customizations and an expansive application performance monitoring toolset.

What are LogicMonitor's key features?

Customizable Dashboards: Allows personalization of monitoring views.
Robust Alerting: Offers advanced alert configurations.
API and Plugin Support: Ensures integration with apps like ServiceNow.
Dynamic Thresholds: Facilitates proactive issue resolution.
Anomaly Detection: Aids in identifying potential issues early.

What ROI should users look for in reviews?

Operational Efficiency: Enhanced by detailed visualizations and dashboards.
Scalability: Supports growing IT environments effortlessly.
Proactive Management: Facilitated by flexible alerting and monitoring.
Flexibility: Customization in monitoring diverse environments.

LogicMonitor is widely implemented across industries, providing monitoring for infrastructure in sectors like telecommunications, cloud computing, and managed services. Managed service providers particularly value its ability to track client environments, deliver proactive alerts, and generate comprehensive reports, while its integration with cloud platforms like AWS and Azure offers users centralized management and visibility into IT assets worldwide.

Sample Customers

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

Kayak, Zendesk, Ted Baker, Trulia, Sophos, iVision, TekLinks, Siemens

DataRobot vs. LogicMonitor