DataRobot Reviews

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Ratings and Reviews
(1-3 of 10)

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Shanna Tellerman | TrustRadius Reviewer
Score 1 out of 10
Vetted Review
Verified User
Review Source
We attempted to use DataRobot in our finance and analytics organization. We believed it would help with a few specific projects. Specifically we wanted to use DataRobot to help predict shopping conversion behavior for our customer base and to help assign the right designers to the right projects.
I would not recommend this software to a company that does not have a data science team and engineering team fully ready to support the integration and use.
We were unable to make use of the software without a lot of investment on our side. While their team reaches out frequently the software is not designed for companies with smaller data sets and this should have been reviewed before the contract was signed and not after. Their team is available to support your existing team but they cannot make the software work if it's not applied to the right size data set or the right problems. I highly recommend uncovering these issues before signing a contract.
Jerry Gage-Anderson | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source
We are using DataRobot to solve Marketing use cases, such as propensity to buy, ideal customer profiles, lead scoring, and behavioral purchasing trends for customer engagement. For Finance, we are using it to forecast revenue more accurately.
  • The interface is easy to use and self-service, with intuitive design.
  • The product is easy to use for data analysts and business users without having to be a data scientist, but if you are one the product is robust, so data scientists can also get some use.
  • All of the screens have explanations of all data points, models, and this makes it easy to provide explanations at the executive level and can easily modify models on the fly.
  • Not having any data cleansing or ETL capabilities, as most of the time you need to clean the data or append data before running models.
  • There are constraints to how many models can be run, so this is frustrating, but this is how the pricing model works.
  • It would be nice to have some me plug and play APIs for Salesforce and other tools instead of having to build your own.
DataRobot is well suited for business analysts, data analysts, and data scientists. The platform explains its models and predictions in common language so that even executives and non-data analytical folks can understand.
Quick response from customer success team and customer-facing data scientists. We had problems that hadn’t been tackled before, and they networked to find out solutions to our problem quickly
August 17, 2018

A Review of DataRobot.

Score 9 out of 10
Vetted Review
Verified User
Review Source
We are using DataRobot as a department-wide software system for analytics on predictability on the Information Technology sector of our firm. Mainly we are utilizing the program for best practices in order to assist in company-wide decision making. It has addressed various manpower issues by yielding a level of automation that eases use of machine learning tasks, basically by displaying helpful predictive models.
  • DataRobot helps, with algorithms, to analyze and decipher numerous machine-learning techniques in order to provide models to assist in company-wide decision making.
  • Our DataRobot program puts on an "even playing field" the strength of auto-machine learning and allows us to make decisions in an extremely timely manner. The speed is consistent without being offset by errors or false-negatives.
  • It encompasses many desired techniques that help companies in general, to reconfigure in to artificial intelligence driven firms, with little to no inconvenience.
  • The importance of realizing that most software programming in the Predictive Analysis genre is not 100% ideal cannot be overstated. It's tough to locate a program that would fulfill every need of every business type and size. Though DataRobot is about as close as it gets, it may not be for every industry.
  • Though DataRobot helps to capture six sigma techniques, knowledge, and expertise of the best data scientists in the nation, it may end up causing rifts in intercompany personnel due to fear of job loss on a long term scale.
  • Though fairly priced for a firm of our size and capability, it may be out of market reach for smaller companies at this point. It's important for every firm to understand exactly what they need and can afford.
DataRobot is equipped to serve both cloud computing and on-premise work. Its comprehensive cloud module, channeled through Amazon sustains highly flexible machine learning programs. Lower than average costs are provided via cloud networking because there is no need to install hardware and the additional pricing that comes along with that. DataRobot assists in eliminating hassle by offering various methods of deployment in regard to predictive modeling. The program may not be appropriate for smaller startups of 20 or fewer employees, mainly because the exportable prediction code, and native batch scoring may not translate as well to a smaller firm.

DataRobot Scorecard Summary

What is DataRobot?

The DataRobot enterprise AI platform is presented as a solution that accelerates and democratizes data science by automating the end-to-end journey from data to value, and allows users to deploy AI applications at scale. DataRobot provides a centrally governed platform that gives users AI to drive business outcomes, that is available on the user's cloud platform-of-choice, on-premise, or as a fully-managed service.

The solutions includes tools providing data preparation enabling users to explore and shape data in preparation for machine learning, automate machine learning, the deploy, monitor, manage, and govern all AI models (i.e. MLOps), and the ability to generate time series models that predict the future values of a data series based on its history and trend.

Following the May 2021 acquisition, DataRobot will incorporate Zepl as a cloud-native, self-service notebook in its enterprise AI platform to, according to the vendor, drive productivity, efficiency, and collaboration for multiple personas. Zepl will allow data scientists who prefer to code to write their own tasks and custom models. Business analysts will be able to build models using DataRobot’s automation and then collaborate with their colleagues, via Zepl, on the same platform. The vendor also anticipates it will provide a more transparent view of the code behind DataRobot blueprints, increasing explainability within the platform.

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How DataRobot Works

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Frequently Asked Questions

What is DataRobot's best feature?

Reviewers rate Support Rating highest, with a score of 3.3.

Who uses DataRobot?

The most common users of DataRobot are from Mid-size Companies and the Information Technology & Services industry.