No more typing reviews! Try our Samantha, our new voice AI agent.

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
8.8
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.
Previously we had five employees doing the entire workflow, and now we can do it with two employees because agents are being used to do the same which was previously being done by the employees.
Advisory Solutions Architect at Dell Technologies
On average, we're saving about 10 to 15 hours per project.
Senior Data Reporting Analyst at University of Bradford
 

Customer Service

Sentiment score
8.2
DataRobot's support is praised for its responsiveness and guidance, enhancing user experience despite minor scalability and documentation issues.
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
The DataRobot team was very helpful in answering the questions which the customer had.
Advisory Solutions Architect at Dell Technologies
Being cloud-hosted enables automatic resource scaling, which supports collaboration across teams.
Senior Data Reporting Analyst at University of Bradford
 

Scalability Issues

Sentiment score
6.5
DataRobot scales well but can become costly, leading users to reconsider affordability after initial discount periods.
Sentiment score
7.3
Sumo Logic Observability scales efficiently for diverse users, handling peak records with ease, supported by Fluent Bit and OpenTelemetry.
DataRobot is very scalable because the customer initially started with two licenses, and now they have around 20 licenses.
Advisory Solutions Architect at Dell Technologies
 

Stability Issues

Sentiment score
8.0
DataRobot is praised for stability, user satisfaction, and improvements, leading some to prefer it over Amazon SageMaker.
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 needs better integration, dataset handling, customization, model transparency, support, documentation, Python incorporation, generative AI, and pricing.
The system requires efficiency improvements in data usage, cost management, enrichment, search interface, query speed, and pre-built dashboards.
If DataRobot also adds those data transformation capabilities, then it will be an end-to-end tool and the customer will not have to procure many tools for doing the ingestion and transformation process.
Advisory Solutions Architect at Dell Technologies
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

DataRobot's pricing is seen as justified by some but costly for smaller organizations, affecting their purchase decisions.
<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 University of Bradford
 

Valuable Features

DataRobot automates model building and deployment, integrating diverse data sources, enhancing productivity, reducing timelines, and improving decision-making.
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 University of Bradford
DataRobot's one of the major features is model evaluation and model performance.
Advisory Solutions Architect at Dell Technologies
 

Categories and Ranking

DataRobot
Ranking in AIOps
15th
Average Rating
8.2
Reviews Sentiment
7.2
Number of Reviews
7
Ranking in other categories
Predictive Analytics (6th), AI Development Platforms (14th), AI Observability (28th), AI Finance & Accounting (8th)
Sumo Logic Observability
Ranking in AIOps
23rd
Average Rating
7.8
Reviews Sentiment
7.2
Number of Reviews
6
Ranking in other categories
Application Performance Monitoring (APM) and Observability (47th), Cloud Monitoring Software (33rd)
 

Mindshare comparison

As of June 2026, in the AIOps category, the mindshare of DataRobot is 1.6%, up from 0.6% compared to the previous year. The mindshare of Sumo Logic Observability is 2.0%, up from 0.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AIOps Mindshare Distribution
ProductMindshare (%)
DataRobot1.6%
Sumo Logic Observability2.0%
Other96.4%
AIOps
 

Featured Reviews

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.
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.
report
Use our free recommendation engine to learn which AIOps solutions are best for your needs.
896,942 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
15%
Manufacturing Company
13%
Construction Company
8%
University
7%
Financial Services Firm
16%
Construction Company
14%
Manufacturing Company
10%
Healthcare Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise1
Large Enterprise6
No data available
 

Questions from the Community

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?
DataRobot can actually be improved by having access to multiple data repositories. It is lacking in the ways in which it ingests data, in which it transforms the data because we need a separate dat...
What is your primary use case for DataRobot?
My main use case for DataRobot is to give an agentic AI flavor to my different customers because many of my customers are looking for a consumption tool when they are looking to implement GenAI in ...
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.
What advice do you have for others considering Sumo Logic Observability?
I would advise to have a demo with them to understand the pricing. Sumo Logic Observability used to charge per data ingest, but now they charge by queries, making it difficult to estimate the cost ...
 

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: April 2026.
896,942 professionals have used our research since 2012.