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DataRobot vs Sumo Logic Observability 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
9.0
DataRobot enhanced prediction accuracy, reduced analysis time, simplified processes, and improved efficiency, leading to better decisions and cost savings.
Sentiment score
7.0
Sumo Logic Observability improved operational efficiency, reduced downtime, and provided better issue resolution, visibility, stability, and proactive IT management.
On average, we're saving about 10 to 15 hours per project.
Senior Data Reporting Analyst at a educational organization with 1,001-5,000 employees
 

Customer Service

Sentiment score
7.5
DataRobot excels in customer service and scalability, but could improve response speed and documentation for large datasets.
Sentiment score
7.8
Sumo Logic Observability's customer service is highly rated, with quick responses and helpful support, particularly for advanced and OpenTelemetry issues.
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 a educational organization with 1,001-5,000 employees
 

Scalability Issues

Sentiment score
4.6
DataRobot is scalable, integrates easily, automates processes, supports multiple models, and handles large data volumes efficiently.
Sentiment score
7.3
Sumo Logic Observability scales efficiently for diverse users, handling peak records with ease, supported by Fluent Bit and OpenTelemetry.
 

Stability Issues

Sentiment score
7.7
DataRobot is praised for stability and reliability, with enhancements improving user satisfaction across diverse analytics scenarios.
Sentiment score
8.8
Sumo Logic Observability is highly reliable, with users experiencing no issues and rating its reliability a perfect ten for enterprises.
 

Room For Improvement

DataRobot faces customization, integration, and performance challenges; improved AI support, transparency, and community engagement are needed.
The system requires efficiency improvements in data usage, cost management, enrichment, search interface, query speed, and pre-built dashboards.
There is a lack of transparency in the models; sometimes it feels like a black box.
Senior Data Reporting Analyst at a educational organization with 1,001-5,000 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
 

Setup Cost

<p>DataRobot provides scalable, cost-effective AI solutions with flexible pricing tailored to enterprise needs and usage volume.</p>
<p>Sumo Logic Observability provides flexible, competitive pricing for enterprises, but additional costs may apply for advanced features and high data volumes.</p>
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 a educational organization with 1,001-5,000 employees
 

Valuable Features

DataRobot automates feature engineering and model testing, enhancing productivity and decision-making with user-friendly, scalable integration.
Sumo Logic Observability offers real-time alerting, apps, team collaboration, easy integration, and a flexible query language, boosting incident resolution.
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 a educational organization with 1,001-5,000 employees
 

Categories and Ranking

DataRobot
Ranking in AIOps
15th
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
6
Ranking in other categories
Predictive Analytics (5th), AI Development Platforms (15th), AI Observability (66th), AI Finance & Accounting (4th)
Sumo Logic Observability
Ranking in AIOps
14th
Average Rating
7.8
Reviews Sentiment
7.2
Number of Reviews
6
Ranking in other categories
Application Performance Monitoring (APM) and Observability (24th), Cloud Monitoring Software (21st)
 

Mindshare comparison

As of January 2026, in the AIOps category, the mindshare of DataRobot is 1.0%, up from 0.5% compared to the previous year. The mindshare of Sumo Logic Observability is 1.4%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AIOps Market Share Distribution
ProductMarket Share (%)
Sumo Logic Observability1.4%
DataRobot1.0%
Other97.6%
AIOps
 

Featured Reviews

Naqash Ahmed - PeerSpot reviewer
Senior Data Reporting Analyst at a educational organization with 1,001-5,000 employees
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.
Shamshir Nangla - PeerSpot reviewer
Site Reliability Engineer at LHV Bank
Getting up and running is easy, even for a newbie but management of searches definitely needs improvement
Operational effectiveness with regards to when there's an issue, when there's a reactive issue, people are able to, or as well as proactively, actually, because we use their PagerDuty integrations. We use queries in Sumo Logic to trigger alerts based on logging. That allows us to proactively identify issues as they're happening. With those same alerts, obviously, with that platform, you can use it to reactively start looking at troubleshooting issues as they're happening right then and there or incidents. So it's been very, very good for alerting and for troubleshooting issues. For predicting issues before they happen, it is not very good. They have a feature called anomaly detection, but I think it's quite premature compared to other stuff out there. So it's good for alerts and for troubleshooting operational effectiveness. When your operations are down or segregated, it's perfect because it will help you diagnose the issues.
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Manufacturing Company
12%
Computer Software Company
10%
Retailer
8%
Computer Software Company
11%
Transportation Company
10%
Financial Services Firm
10%
Healthcare Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for DataRobot?
While pricing falls more under my IT colleagues, from my perspective, the overall experience feels justified. The premium pricing is reasonable for the value provided, and I'd say it's worth the in...
What needs improvement with DataRobot?
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 ...
What is your primary use case for DataRobot?
My main use case for DataRobot is to perform predictive analysis and automation of machine learning workflows. I use it to quickly build, test, and deploy models without extensive coding. One of th...
What needs improvement with Sumo Logic Observability?
The speed of queries could be improved. When using more advanced functions, especially with large datasets like the 90-day log retention we had, queries could be slow, sometimes taking up to five m...
What is your primary use case for Sumo Logic Observability?
We used it for log observability – log aggregation specifically.
 

Overview

 

Sample Customers

Harmoney, Zidisha, ONE Marketing, DonorBureau, Trupanion, Avant
Information Not Available
Find out what your peers are saying about DataRobot vs. Sumo Logic Observability and other solutions. Updated: December 2025.
881,082 professionals have used our research since 2012.