DataRobot Reviews

Name: DataRobot
Brand: DataRobot
Rating: 4 (4 reviews)

4.3 out of 5

4 reviews
100% willing to recommend

390 followers

What is DataRobot?

DataRobot captures the knowledge, experience and best practices of the world’s leading data scientists, delivering unmatched levels of automation and ease-of-use for machine learning initiatives. DataRobot enables users to build and deploy highly accurate machine learning models in a fraction of the time.

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DataRobot is the #5 ranked solution in top Predictive Analytics solutions, #12 ranked solution in top AI Development Platforms, and #17 ranked solution in top AIOps solutions. PeerSpot users give DataRobot an average rating of 8.6 out of 10. DataRobot is most commonly compared to Datadog: DataRobot vs Datadog. DataRobot is popular among the large enterprise segment, accounting for 56% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a educational organization, accounting for 26% of all views.

Buyer's Guide

Predictive Analytics

November 2024

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Helped 814,763 peers since 2012

Featured reviews

Raviteja Guna

Data Scientist at a tech services company with 10,001+ employees

Based on your similar requirements, V10.0 has very cool features related to AI Generation. I would suggest the team, too. This is very good for data scientists or people who don't want to code. Even the documentation is well-maintained in terms of its capabilities. It's easy to navigate. The support documents are good. Even someone with basic IT knowledge can easily navigate. If you're an IT engineer, you can efficiently perform operations using it. We have deployed eight to nine use cases on DataRobot and have seen a tremendous response in accuracy and performance. We are pleased because we conducted a comparison. We took a model we built using a sample Python on a local machine and applied the same data and process using DataRobot Autopilot. The results were pretty amazing, with promising accuracy and recall. The accessibility is so easy. Even a college graduate with essential experience can use it. Suppose I do the same model in Databricks and want to monitor my MLOps pipeline. So, I need to use a third-party framework again, like MLflow, Kubeflow, Airflow, or whatever. I need to build my dashboards and everything, customization dashboards. However, everything is available in DataRobot. I can use it directly. They have a new option called DataRobot apps. So, on the predictions, we can even create customized apps. I can build my dashboard, and I can develop my applications. Overall, I rate the solution an eight out of ten.

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RangeshKunnavakkam

Consultant at Netsoft

I did a proof of concept (POC) at DISH Wireless (company name) before they were about to sign a contract. Currently, I'm working on another POC I used DataRobot extensively at DISH Wireless (my previous company). It's very user-friendly, and the data munching is fast. They have another product…

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reviewer1489314

Head of Data and Analytics at a manufacturing company with 501-1,000 employees

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. A data scientist can bring it to the maximum level, by fine-tuning it to create a lot of models. However, the BI can be used to build models and investigate their data, and they don't need to understand the mathematics behind it. This is one of the amazing things because on the business side you can use, Business One, BI, and marketing. All these people can work with DataRobot and can create a model or create their vision, and then the BI can build it. I rate DataRobot a ten out of ten.

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DataRobot mindshare

Product category:

As of November 2024, the mindshare of DataRobot in the Predictive Analytics category stands at 7.5%, down from 9.8% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Predictive Analytics

Key learnings from peers

Last updated Sep 16, 2024

Valuable Features

DataRobot automates feature engineering and offers intuitive MLOps operations, making it easier to manage and retrain models. Users appreciate the platform's ease of use and robust solutions for building and deploying models. The integrated end-to-end processes simplify tasks and address pain points.

"DataRobot is highly automated, allowing data scientists to build models easily."
"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."

Room for Improvement

Users point out that DataRobot could improve its deployment speed and model customization options. Some express a desire for more transparency in model decision-making processes. Limited integration with certain data sources frustrates users, and a few mention the platform's steep learning curve. Concerns about the frequency and impact of software updates are also noted, alongside the occasional challenge in accessing advanced features without extensive knowledge.

"There are some performance issues."
"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."

ROI

Users frequently note that DataRobot significantly improved predictive accuracy, streamlined workflows, and reduced manual tasks. Many experienced substantial cost savings and increased revenue. Time-to-market for new models shortened notably. DataRobot's automated machine learning capabilities led to better resource allocation and higher productivity. Some mentioned rapid integration into existing systems, enhancing efficiency. Decision-making processes were more data-driven and strategic. Many stated that its scalability addressed various business requirements effectively.

Pricing

DataRobot offers flexible pricing models, typically customized based on enterprise needs and usage. Users report satisfaction with the ROI and appreciate the scalable options. However, some indicate that costs can be high, especially for smaller teams, and suggest evaluating all features versus actual requirements. Enterprise buyers should consider both short-term and long-term costs when evaluating DataRobot.

"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."

Popular Use Cases

Healthcare startups use DataRobot to develop robotic process automation systems for insurance providers and hospitals, integrating machine learning for process intelligence. They utilize it to create models, monitor them as MLOps, and perform data preprocessing. AI and ML use cases in technology and IT sectors find it valuable. Various organizations engage in proof of concepts before contracts. Deployment models vary, with many preferring the cloud, though some data remains on-premise.

Service and Support

Users indicate that DataRobot's customer service is responsive and efficient. They appreciate timely resolutions and knowledgeable support staff. Users also mention that the support team provides thorough assistance, ensuring issues are addressed promptly. The service is noted for being approachable, with a positive attitude towards solving customer problems.

Deployment

Users describe DataRobot's initial setup as straightforward and quick, often completed within hours. They appreciate detailed documentation and helpful support. Some mention minor challenges with configuration but find the overall process intuitive. Feedback highlights the ease of integrating with existing systems and the minimal technical expertise required. Users also like how DataRobot's installation guides simplify the deployment, making the onboarding process efficient and user-friendly.

Scalability

DataRobot is praised for its impressive scalability, enabling seamless handling of increasing data volumes. Users find it well-suited for managing large datasets without significant performance drops. Its architecture supports both small scale and extensive enterprise-wide deployments efficiently. Many appreciate its automated processes, which minimize manual intervention, and its capacity to integrate with various data sources, making it a versatile choice for expanding business demands.

Stability

Users find DataRobot stable with reliable performance. They appreciate its ability to handle large datasets efficiently and maintain high uptime. Some note occasional minor glitches but affirm that these do not affect overall functionality. Frequent updates and robust support contribute to positive experiences. The software's adaptability to different environments is also highlighted, making it a trusted tool in varied scenarios.

These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.

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