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DataRobot vs Sysdig Secure comparison

 

Comparison Buyer's Guide

Executive Summary

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 AI Observability
66th
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
6
Ranking in other categories
Predictive Analytics (5th), AI Development Platforms (15th), AIOps (15th), AI Finance & Accounting (4th)
Sysdig Secure
Ranking in AI Observability
16th
Average Rating
8.2
Reviews Sentiment
7.1
Number of Reviews
12
Ranking in other categories
Container Security (13th), Cloud Security Posture Management (CSPM) (18th), Cloud-Native Application Protection Platforms (CNAPP) (12th), Cloud Detection and Response (CDR) (5th)
 

Mindshare comparison

As of January 2026, in the AI Observability category, the mindshare of DataRobot is 0.6%, down from 1.1% compared to the previous year. The mindshare of Sysdig Secure is 1.0%, up from 0.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Observability Market Share Distribution
ProductMarket Share (%)
Sysdig Secure1.0%
DataRobot0.6%
Other98.4%
AI Observability
 

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.
MM
DevSecOps Engineer at a outsourcing company with 1,001-5,000 employees
Runtime threat detection has improved and security teams prioritize real Kubernetes risks
The best feature Sysdig Secure offers is threat detection. The threat detection feature on Sysdig Secure stands out compared to other solutions I have seen or used because Sysdig sees the actual behavior inside the container or kernel and correlates it with Kubernetes infrastructure, which makes detection both earlier and more precise in a cloud-native environment. Sysdig Secure has positively impacted our organization by improving visibility into our Kubernetes environment and focusing on real risk, which has reduced alert noise, improved threat detection at runtime, and made vulnerability management more efficient by prioritizing issues that actually affect running workloads.

Quotes from Members

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

Pros

"By automating highly technical aspects like model comparison, DataRobot enhances productivity and reduces project timelines from three months to less than one month."
"DataRobot is highly automated, allowing data scientists to build models easily."
"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."
"DataRobot can be easy to use."
"Tasks such as model testing, feature engineering, and predictions that used to take us days or weeks can now be accomplished in hours."
"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."
"Sysdig Secure has many strong foundational features like compliance and benchmark, security, network access management, and vulnerability management."
"I have not seen any stability issues so far."
"The tool has the capability to conduct scans initially. It can perform scans on your virtual machines, physical machines, containers, and container images. A standout feature is its ability to scan offline container images stored in your container registry. Additionally, it can scan runtime images in your cluster or on your host machine. This allows for the detection of vulnerabilities in running containers, including loaded libraries. Notably, the tool can identify which library vulnerabilities are already present in your system. An added advantage is its capacity to take action beyond threat detection. It has the ability to block access and respond to encountered threats."
"We appreciate this feature, especially when combined with CD monitoring. The implementation of requested features has been remarkable, such as scanning for compliance in CRM processes for the US government. We heavily rely on this feature to assess compliance with federal requirements."
"Sysdig Secure has positively impacted our organization by improving visibility into our Kubernetes environment and focusing on real risk, which has reduced alert noise, improved threat detection at runtime, and made vulnerability management more efficient by prioritizing issues that actually affect running workloads."
"The most valuable feature is the level of support that we get. Our solutions or customer success representative is very valuable. I see them as an extension of our security team."
"In terms of measurable outcomes, I have seen a reduction in vulnerabilities, as Sysdig Secure can tell us how many vulnerabilities are present on a day-to-day report basis, which has improved our efficiency by more than 50% and helps us stay compliant with necessary regulations."
"From a container-based standpoint, it offers excellent scalability to its users...I would tell those planning to use the solution that, from a container standpoint, it's excellent."
 

Cons

"There is a lack of transparency in the models; sometimes it feels like a black box."
"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."
"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."
"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."
"Generative AI has taken pace, and I would like to see how DataRobot assists in doing generative AI and large language models."
"They should make it specific with a couple of features only."
"Sysdig's biggest weakness is dashboarding and reporting. You have access to the data and can get everything you need, but we need the ability to summarize the information quickly in a format that senior leaders can understand. We report to the executive level and global board. I need to roll all that in-depth information into a quick summary, and their maturity level isn't there. I'm seeing that on the future road map, but it isn't there now."
"Perhaps, it could support more custom implementations, as our company utilizes custom implementations rather than standard ones. Configuring it requires a deep understanding and adjustment to our specific needs, which took some time. Other than that, I'm unsure about potential improvements. We were considering the possibility of compartmentalizing their tools. Currently, in Sysdig Secure, they bundle multiple features, and we are unable to use them individually. For instance, if we only need compliance scanning, we have to deploy the entire secure package. This is because of the way their agent functions, but I can't delve into more details."
"Reporting can definitely be better. Live dashboards should be configurable for a longer period of time rather than 30 days. Being able to go back in time to compare six months ago to today would be valuable."
"I give it an eight because of the bugs, specifically the fix version bug where sometimes there is no fix version shown, and I wish Sysdig Secure would create a customizable UI that orders features by importance to enhance user experience."
"Banks and financial institutions cannot use Sysdig Secure because it doesn't sell SaaS-hosted versions for under two hundred working nodes."
"Sysdig Secure works well for us, but there are a few areas for improvement, such as the alerting and notification system being more flexible for complex workflows, and some dashboard and reporting features could be more customizable to match specific team needs."
"The solution needs to improve overall from a CSPM standpoint since they can't compete with Wiz or Orca."
 

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."
"In comparison to other cloud solutions, it's reasonably priced. However, when compared to in-house built open-source projects, it might be considered somewhat costly. The cost depends on whether someone sees the support provided by Sysdig as an advantage or if it's deemed unnecessary. Personally, I find the support to be excellent and consider it a good value."
"I am always going to say that it could be a little bit cheaper. I do feel that it is a little bit on the expensive side."
"Sysdig is competitive. The quality matches the pricing. Obviously, everyone wants things to be cheaper, but if you're realistic, you acknowledge that quality service comes with a price. Sysdig is the gold standard for Kubernetes, and I wouldn't choose anything else. We live in Kubernetes. Everything is containerized, so that means a lot to us, and we're willing to make an investment."
"It is quite costly compared to other tools."
"The solution's pricing depends on the agents...In short, the price depends on the environment of its user."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Manufacturing Company
12%
Computer Software Company
10%
Retailer
8%
Financial Services Firm
21%
Computer Software Company
13%
Manufacturing Company
7%
Comms Service Provider
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business6
Midsize Enterprise2
Large Enterprise5
 

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 do you like most about Sysdig Secure?
The proactiveness of the support has been fantastic. Every time we mention something in a meeting that we're trying to do, he proactively takes that as an investigation topic and looks into it. He'...
What needs improvement with Sysdig Secure?
Sysdig Secure works well for us, but there are a few areas for improvement, such as the alerting and notification system being more flexible for complex workflows, and some dashboard and reporting ...
What is your primary use case for Sysdig Secure?
Our primary use case for Sysdig Secure is runtime threat detection and vulnerability management.
 

Overview

 

Sample Customers

Harmoney, Zidisha, ONE Marketing, DonorBureau, Trupanion, Avant
SAP Concur, Goldman Sachs, Worldpay, Experian, BigCommerce, Arkose Labs, Calendly, Noteable, Bloomreach. More here: https://sysdig.com/customers/
Find out what your peers are saying about DataRobot vs. Sysdig Secure and other solutions. Updated: December 2025.
881,114 professionals have used our research since 2012.