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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:
 

ROI

Sentiment score
5.5
BigPanda offers efficiency benefits for managing over 10,000 events weekly, saving time and resources compared to tools like Netcool.
Sentiment score
9.1
DataRobot enhanced prediction accuracy, reduced analysis time, simplified processes, and improved efficiency, leading to better decisions and cost savings.
BigPanda offers significant time-saving, cost-saving, and resource-saving benefits.
Technical Lead
BigPanda saves time with its advanced features and manages large environments while requiring fewer resources compared to our previous tool, Netcool.
Software Engineer at Trianz
On average, we're saving about 10 to 15 hours per project.
Senior Data Reporting Analyst at University of Bradford
 

Customer Service

Sentiment score
6.5
BigPanda's customer service is responsive and helpful, with noted inconsistencies like slow emails and no phone support.
Sentiment score
8.1
DataRobot offers strong support and scalability but needs faster responses and better documentation for optimal user empowerment.
If BigPanda can consistently provide such competent contacts, I would rate the support ten out of ten, otherwise, it is an eight out of ten.
Engineer - Cloud and Infrastructure Services at a tech vendor with 10,001+ employees
Companies like CoreLogix, which is a log platform, achieve ten out of ten due to their responsiveness.
CEO / Co-Founder at Aiops ltd
For technical support, we have only had to address password resets and alert mismatching.
Technical Lead
They answer all my questions and share guidance on using DataRobot scripts if certain functionalities are not available in the UI.
Staff Specialist Data Scientist at a tech vendor with 5,001-10,000 employees
Being cloud-hosted enables automatic resource scaling, which supports collaboration across teams.
Senior Data Reporting Analyst at University of Bradford
 

Scalability Issues

Sentiment score
7.2
BigPanda is scalable and integrates well, although experiences vary based on configuration efforts and peak time performance.
Sentiment score
5.8
DataRobot is scalable, integrates easily, automates processes, supports multiple models, and handles large data volumes efficiently.
It handles large volumes of alerts without limitations.
We manage a large environment with over 50,000 servers and various monitoring tools like Dynatrace, New Relic, Splunk, Nagios, and Datadog.
Software Engineer at Trianz
I rate the scalability of BigPanda at eight.
Manager Observability at ICE
 

Stability Issues

Sentiment score
7.5
BigPanda is stable with minimal downtime and effective incident management, though occasional service interruptions are promptly addressed.
Sentiment score
7.9
DataRobot is praised for stability and reliability in edge analytics, improving consistently without significant issues during adjustments.
BigPanda is now stable.
I would rate the availability of BigPanda at nine because it's almost 99.99% available.
Manager Observability at ICE
However, when handling critical traffic, the BigPanda site can slow down, which we manage with a load balancer.
Software Engineer at Trianz
 

Room For Improvement

BigPanda requires enhancements in analytics, usability, integration, UI, and cost while improving accuracy, dashboards, and multi-cloud observability.
DataRobot users seek integration with AI tools, improved performance, better support, pricing, and enhanced UI for customization.
A 'deep dive' analysis feature would be appreciated to give detailed insights such as CPU usage and disk space analysis.
It would be beneficial if BigPanda leveraged AI to solve critical issues related to editing and sending alerts based on enrichment mapping files.
Software Engineer at Trianz
If BigPanda could integrate AI, it would enhance the platform significantly by offering chatbot functionality within the BigPanda UI.
Engineer - Cloud and Infrastructure Services at a tech vendor with 10,001+ employees
DataRobot is a UI-based tool, which means it cannot provide all the features I might manually implement through notebooks or Python.
Staff Specialist Data Scientist at a tech vendor with 5,001-10,000 employees
There is a lack of transparency in the models; sometimes it feels like a black box.
Senior Data Reporting Analyst at University of Bradford
 

Setup Cost

BigPanda offers cost-effective pricing at $200,000 annually, providing flexibility and competitive advantages for high-growth companies.
Opinions on DataRobot's $65,000 pricing vary; some find it competitive, while others see it as too costly.
The pricing for BigPanda is reasonable compared to other event management tools, given its advantages.
Software Engineer at Trianz
The setup cost was minimal because it's cloud-hosted, eliminating the need for heavy on-premises infrastructure, allowing us to start using it immediately after purchase.
Senior Data Reporting Analyst at University of Bradford
 

Valuable Features

BigPanda streamlines incident management with AI-driven alert deduplication, offering seamless integration and enhancing real-time incident resolution.
DataRobot streamlines MLOps by automating modeling, deployment, and monitoring, enhancing productivity and decision-making with efficient cloud integration.
Its automation has significantly improved incident response times, reducing the process to within one minute.
It can correlate multiple issues within a single device, create a single incident, and thus reduce noise and provide faster resolution.
Manager Observability at ICE
BigPanda improves service reliability with instant resolution, increased uptime, and reduced mean time to resolution, thus enhancing service quality.
Technical Lead
By automating highly technical aspects like model comparison, DataRobot enhances productivity and reduces project timelines from three months to less than one month.
Staff Specialist Data Scientist at a tech vendor with 5,001-10,000 employees
DataRobot has positively impacted our organization in many ways. First, it has improved efficiency; tasks such as model testing, feature engineering, and predictions that used to take us days or weeks can now be accomplished in hours.
Senior Data Reporting Analyst at University of Bradford
 

Categories and Ranking

BigPanda
Ranking in AIOps
11th
Average Rating
7.6
Reviews Sentiment
6.9
Number of Reviews
19
Ranking in other categories
IT Infrastructure Monitoring (28th), IT Alerting and Incident Management (10th)
DataRobot
Ranking in AIOps
14th
Average Rating
8.2
Reviews Sentiment
7.1
Number of Reviews
6
Ranking in other categories
Predictive Analytics (5th), AI Development Platforms (11th), AI Observability (18th), AI Finance & Accounting (5th)
 

Mindshare comparison

As of April 2026, in the AIOps category, the mindshare of BigPanda is 2.8%, down from 3.0% compared to the previous year. The mindshare of DataRobot is 1.3%, up from 0.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AIOps Mindshare Distribution
ProductMindshare (%)
BigPanda2.8%
DataRobot1.3%
Other95.9%
AIOps
 

Featured Reviews

Michael Wenn - PeerSpot reviewer
CEO / Co-Founder at Aiops ltd
Automated incident workflows have reduced alert noise and now improve response efficiency
In my opinion, the best feature of BigPanda is its speed in terms of deployment. It has very strong integration with all of the major platforms and workflows that organizations need. The biggest customers are enterprises like HSBC and Barclays. Implementing something effective for them that dramatically reduces meantime to repair and the number of incidents is substantially difficult, as projects can often extend three years with very small results. BigPanda is different; it is a tool relied on by many enterprises, fitting over existing toolsets rather than trying to replace them, which makes it non-competitive to many existing alerts and monitoring tools. It enhances existing systems to provide actionable intelligence for business solutions.
Naqash Ahmed - PeerSpot reviewer
Senior Data Reporting Analyst at University of Bradford
Automation has improved efficiency and decision-making while big data handling and transparency still need work
Aside from the many advantages of DataRobot, I believe there are areas that could be improved based on my experience. There is a lack of transparency in the models; sometimes it feels like a black box. For example, when I uploaded a large data set of about two gigabytes for processing, the time taken was slower than expected. Additionally, the handling of bigger data sets could be better, as it performs extremely well with smaller datasets but can lag with larger ones. The integration with some other tools used in our organization can also be challenging, and more flexibility for custom pre-processing and advanced model tuning would be beneficial. In terms of support and documentation, I believe improvements are needed. For instance, the response time from DataRobot could be quicker, which would be appreciated when we need assistance. The documentation is generally sufficient, but it can be lengthy and could use more real-world examples and step-by-step tutorials for better clarity. Lastly, creating a client community where users can share experiences and solutions might enhance the overall value and learning curve.
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Top Industries

By visitors reading reviews
Financial Services Firm
24%
Manufacturing Company
9%
Healthcare Company
7%
Retailer
5%
Financial Services Firm
14%
Manufacturing Company
13%
Educational Organization
8%
Construction Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business6
Large Enterprise11
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise1
Large Enterprise5
 

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 is your experience regarding pricing and costs for BigPanda?
The pricing of BigPanda includes considerations for pricing, licensing, and setup costs of the solution.
What is your experience regarding pricing and costs for DataRobot?
My experience with pricing, setup cost, and licensing reveals that the price points can be improved and DataRobot is not so cost-effective, especially for smaller organizations.
What needs improvement with DataRobot?
To improve DataRobot, I suggest enhancing model accuracy metrics and improving automation. The price points can also be improved. Another improvement that DataRobot needs is integrating the capabil...
What is your primary use case for DataRobot?
DataRobot serves as our data science platform for building machine learning models and the development environment for running models. We also use the best practice processes and governance that Da...
 

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: February 2026.
886,719 professionals have used our research since 2012.