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BigPanda vs DataRobot comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Sep 16, 2024

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

BigPanda
Ranking in AIOps
18th
Average Rating
7.2
Reviews Sentiment
6.7
Number of Reviews
15
Ranking in other categories
IT Infrastructure Monitoring (51st), IT Alerting and Incident Management (12th)
DataRobot
Ranking in AIOps
16th
Average Rating
8.6
Reviews Sentiment
7.2
Number of Reviews
5
Ranking in other categories
Predictive Analytics (5th), AI Development Platforms (12th)
 

Mindshare comparison

As of April 2025, in the AIOps category, the mindshare of BigPanda is 3.1%, up from 2.5% compared to the previous year. The mindshare of DataRobot is 0.6%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AIOps
 

Featured Reviews

Ankit-Mathur - PeerSpot reviewer
Offers comprehensive alert monitoring and a user-friendly interface but requires manual validation to provide accurate alerts
For new users, I would advise using BigPanda for its comprehensive alert monitoring and integration with ServiceNow. Its mapping capabilities and user-friendly interface make it valuable for incident analysis and prioritization. As users become more familiar with the tool, its full potential will become apparent, enhancing efficiency and effectiveness over time. It is easy for someone to learn to use BigPanda for the first time. We start with basic examples that everyone can understand, then provide verbal introductions followed by hands-on training over two weeks. We encourage making mistakes and asking questions to ensure understanding. It depends on the trainer's approach, but with proper guidance, anyone can learn effectively. Overall, I would rate BigPanda as a five out of ten. For it to be a perfect ten, it would need to consistently provide accurate alerts without requiring manual validation. This means it should effectively suppress similar incidents, eliminating the need for constant monitoring. Once it reaches this level of reliability, BigPanda would be exceptional.
SagarYadav - PeerSpot reviewer
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.

Quotes from Members

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

Pros

"We have also made extensive use of the outbound integrations to ticketing systems (JIRA) and collaboration tools (Slack). The main driver for us has been getting all alerting into a single UI and enabling us to streamline our incident management process."
"Easy integration - We've had challenges in the past integrating all of our various monitoring sources and tools into one central system. BigPanda, with the integrations that it already has, as well as offering webhook/REST API, has made it very easy for us to plug everything in."
"BigPanda integrates well with other solutions, such as WatchGuard,"
"The most valuable features of BigPanda are the API integration was good. It enables us to do faster onboarding."
"The event correlation is really good and it is able to reduce the noise. It is a good tool for anomaly detection."
"Alert aggregation was the primary requirement. BigPanda pulls all this together into a single UI for us, allowing us to see related alerts grouped together into an incident, and enables us to easily create a JIRA ticket and Slack channel to manage an issue."
"The program is very stable."
"BigPanda improves service reliability with instant resolution, increased uptime, and reduced mean time to resolution, thus enhancing service quality."
"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."
"By automating highly technical aspects like model comparison, DataRobot enhances productivity and reduces project timelines from three months to less than one month."
"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."
"DataRobot is highly automated, allowing data scientists to build models easily."
 

Cons

"Lacks sufficient dashboard features."
"I am not sure if we can pull reports of bulk incidents in different formats like PDF, Excel, or CSV. This feature would allow us to extract monthly incident reports similar to ServiceNow."
"The observability can be enriched with regards to infrastructure and the application-integrated environment. The dashboard and reports could be improved."
"The UI for this solution could be improved. It is very hard to find what you are looking for."
"BigPanda can improve the correlations. We didn't see any big value. It is still good at the same event deduplication, event processing, and ticket creation, but I was more looking at event analysis and event correlation. In that area, it is still no big difference between the other solutions on the market. All of them, are in the same immature stage."
"BigPanda sometimes creates false incidents and workarounds, causing financial disturbances because we pay for each incident."
"We had to use a partner for the deployment."
"The usability needs to improve, because it is a pure code environment."
"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."
"Generative AI has taken pace, and I would like to see how DataRobot assists in doing generative AI and large language models."
"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."
 

Pricing and Cost Advice

"BigPanda is cheaper than the competitors."
"The price of BigPanda is in the middle compared to other solutions."
"They were great to work with on pricing/licensing. Given we are a high-growth company, we needed a flexible site license."
"We pay $200,000 USD per year."
"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."
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Top Industries

By visitors reading reviews
Financial Services Firm
23%
Computer Software Company
19%
Manufacturing Company
10%
Insurance Company
7%
Educational Organization
20%
Financial Services Firm
13%
Manufacturing Company
8%
Computer Software Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

Any advice about APM solutions?
There are many factors and we know little about your requirements (size of org, technology stack, management systems, the scope of implementation). Our goal was to consolidate APM and infra monitor...
What do you like most about BigPanda?
One of the most valuable features of BigPanda is its user-friendly interface.
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...
 

Comparisons

 

Overview

 

Sample Customers

Nagios, ServiceNow, ITSM, NOC, CMDB Evolved, RemedyIncident Management Process
Harmoney, Zidisha, ONE Marketing, DonorBureau, Trupanion, Avant
Find out what your peers are saying about BigPanda vs. DataRobot and other solutions. Updated: March 2025.
847,625 professionals have used our research since 2012.