BESTSELLER: Data Science for Decision Makers™ - AI, BI, organization, people & technology handbook

DataRobot BI & Analytics

Photo Daan van Beek
Author: Daan van Beek
Senior DataRobot BI advisor
Table of Contents

On this page, we are showcasing the main features of our 100% vendor-independent BI & Analytics survey about the software vendor DataRobot and its product portfolio (such as DataRobot Artificial Intelligence, DataRobot Core, and DataRobot AutoML). DataRobot BI & Analytics scores better in our study than Hitachi Vantara but quite worse than ThoughtSpot. Of all the categories in our research, DataRobot has the best performance in artificial intelligence and has the worst score in multidimensional models. We have been able to establish this objectively. Within the context of BI & Analytics, we have put together the main advantages and disadvantages of DataRobot platform, and listed them by theme (BI, Big Data, data analytics, AI, and data science). We also point out the key functionalities of the software products such as DataRobot Artificial Intelligence, DataRobot Core, and DataRobot AutoML et cetera.

How does DataRobot BI & Analytics score on different parts?

In our survey, we also judged all relevant products of DataRobot software. More than 720 evaluation criteria were examined. The bar chart below illustrates the strengths and weaknesses of DataRobot platform, in general terms. Please note that Passionned Group is 100% independent of the suppliers in our guide. We do not sell licenses, we do not make deals or have any relationship with the vendor. Among other things, we help and advise companies in the proper selection of BI tooling.

Score of DataRobot platform software.Figure 1: Scorecard of the BI provider DataRobot. A top supplier can get a maximum of 100%. Source: The BI & Analytics Guide 2024. Do you want to take a deep dive into our research design? Click here to download this guide.

The DataRobot analysis was conducted by tapping into a lot of public big data and from there it was analyzed in-depth. More than 2,357 documents were analyzed for this vendor. In this analysis process, both algorithms as the subject matter expertise of a BI consultant played an important role in drawing conclusions.The BI & Analytics Guide™ 2024 Image of The BI & Analytics Guide™ 2024In our 100% vendor-independent BI & Analytics Guide we have collected all the ins and outs of DataRobot for you. You get access to hundreds of (shorter) trainings, tech talks, lectures, demos, tutorials, and so on and always have the latest BI & AI news. This guide will additionally assist you in the further development of your knowledge about BI & Analytics.DataRobot in our BI & Analytics Guide

DataRobot and their complete BI & Analytics product portfolio

The software company DataRobot carries (a minimum of) 5 products in the realm of BI & Analytics. Based on relevance we list the products below:

What is DataRobot platform?

We do not display all the features here but, in this paragraph, we describe DataRobot platform, including some of its features and any related products. This product group consists of DataRobot Artificial Intelligence, DataRobot Core, DataRobot AutoML, and DataRobot MLOps. This product/group of products can be characterized by the following characteristics:

  • analytics
  • authentication
  • data management
  • data quality
  • machine learning
  • Python
  • R
  • repository
  • SaaS
  • two-factor authentication

Are you now curious about all features (100+) of DataRobot platform? Download the BI & Analytics Guide™ 2024 here.

Are you considering hiring an expert in DataRobot platform?

Do you want to hire a freelance DataRobot platform developer who can help you get started, and implement a beautiful DataRobot platform application? Our interim specialists are happy to help. Indeed, hiring DataRobot platform developers is not always expedient. Leave a message here and we will explore the possibilities of cooperation with you.

Screen shot of DataRobot platform software.
Picture of DataRobot platform tools.
DataRobot platform in action
Figures 2, 3, and 4: Overlying figures display how DataRobot platform operates. Click on an image to magnify. Credits: DataRobot & partners.

What is DataRobot Artificial Intelligence?

Other names by which this software product is known: DataRobot AI

In this section, we provide a description of DataRobot Artificial Intelligence, including some of its features and any related products. The product DataRobot Artificial Intelligence can be best characterized by the following characteristics:

  • artificial intelligence
  • automated machine learning
  • big data
  • cloud platform
  • generative AI
  • machine learning
  • natural language
  • natural language processing
  • neural network
  • time series

Are you now curious about all elements (100+) of DataRobot Artificial Intelligence? Download the BI & Analytics Guide™ 2024 here.

Screen shot of DataRobot Artificial Intelligence software.
Picture of DataRobot Artificial Intelligence tools.
DataRobot Artificial Intelligence in action
Figures 5, 6, and 7: Various figures show how DataRobot Artificial Intelligence functions. Click on the image to magnify. Credits: DataRobot & partners.

What is DataRobot AutoML?

We do not display all the features here but, in this paragraph, we describe the key elements of DataRobot AutoML, including some of its features and any related products. The tool DataRobot AutoML can be best characterized by the following features:

  • algorithms
  • artificial intelligence
  • automated machine learning
  • data science
  • forecasting
  • machine learning
  • machine learning models
  • Python
  • R
  • SDK

Do you want to know the intricacies of all properties (100+) of DataRobot AutoML? Open the BI & Analytics Guide™ 2024 here.

Screen shot of DataRobot AutoML software.
Picture of DataRobot AutoML tools.
DataRobot AutoML in action
Figures 8, 9, and 10: Various figures show how DataRobot AutoML runs. Click on an image to enlarge it. Credits: DataRobot & partners.

What is DataRobot MLOps?

We do not display all the features here but, in this paragraph, we report the (main) characteristics of DataRobot MLOps, including some of its features and any related products. This product can be characterized by the following properties:

  • automated machine learning
  • kubernetes
  • machine learning
  • machine learning models
  • Python
  • R
  • reporting
  • repository
  • SDK
  • TensorFlow

Are you curious about all elements (100+) of DataRobot MLOps? Then order the BI & Analytics Guide™ 2024 here.

Screen shot of DataRobot MLOps software.
Picture of DataRobot MLOps tools.
DataRobot MLOps in action
Figures 11, 12, and 13: Overlying figures display how DataRobot MLOps runs. Click on the image to magnify. Credits: DataRobot & partners.

Recent innovations of DataRobot platform tools and the version history

Recently, we see a positive trend in terms of BI & Analytics functionality. The latest innovations are in the areas of data discovery > analysis > financial analysis, business intelligence > reporting > custom SQL > custom SQL query, and data connectivity > Google Analytics.

We reviewed DataRobot’s current releases of its complete product portfolio. Below you can see the structure of the history of the different versions of the various BI & Analytics products of DataRobot:

  • DataRobot AutoML: 7.1
  • DataRobot MLOps: 9 8 7.1 7 6.0
  • DataRobot platform: 8 7.3 7.2 7.0 7 6 5 3.0.2

Behind each product, we show the version numbers, the most recent versions are mentioned first.

What are the licensing costs of DataRobot Artificial Intelligence, DataRobot Core, and DataRobot AutoML?

It is difficult to determine exactly what a license of DataRobot Artificial Intelligence, DataRobot Core, and DataRobot AutoML costs because it depends on the country, the number of users (or the number of CPUs in the case of server software), the connectors to data sources, and at what point in the year you request a quote. If you do this a few weeks before the end of DataRobot’s fiscal quarter, you may be in for a decent discount. In addition, nowadays it is recommended that you run the software in the cloud. You then only pay for what you actually use in resources. The purchase cost of DataRobot Artificial Intelligence, DataRobot Core, and DataRobot AutoML may not be the most important costs, but maintenance and support do show up in your budget every year.

What makes DataRobot BI & Analytics worth watching

In our study, we see that DataRobot in the field of BI & Analytics software has a number of specific features which are worth weighing in a tool selection. This makes DataRobot platform more or less unique: k-nearest neighbor, deep learning frameworks, image classification, decision flow, and generative pre-trained.

The advantages and disadvantages of DataRobot platform

Tag cloud of the DataRobot platform tools.Figure 14: Tag cloud with the strength-weakness analysis of DataRobot BI & Analytics

In the following sections, we describe all the advantages and disadvantages of DataRobot BI & Analytics, DataRobot Artificial Intelligence, DataRobot Core, and DataRobot AutoML. There is momentum, because: DataRobot can currently work on developing features that meet specific customer needs at this time (such as support for embedded analytics, waterfall chart, ad hoc reporting, line charts, star schema, Linux, caching, data warehousing, security assertion, and Informix). It may also be that a feature has not yet been adequately described.

We value your opinion

Leave a review about DataRobot BI & Analytics here. Your findings may then be taken into account and contribute to a better, even more balanced assessment of DataRobot platform.

1. DataRobot Artificial Intelligence

60%

The vendor DataRobot has a good score in our independent BI & Analytics survey of the theme ‘Artificial Intelligence’, given that they score 60% on this, relative to other vendors. We looked at the following criteria, among others: data science, Python, data mining, algorithms, natural language processing, and cognitive services. In doing so, we investigated the following products: DataRobot Artificial Intelligence. In total, we examined 181 criteria in this category. Are you planning to specialize further in the topic ‘Artificial Intelligence’? Then download here our BI & Analytics Guide.

2. DataRobot Decision Management

44%

The company has a moderate score in our independent BI & Analytics survey of the theme ‘Decision Management’ with a score of 44%, compared to other vendors. We considered the following factors: performance management, decision support, decision intelligence, decision-making platform, decision optimization, enterprise decision management, and real-time decisioning. In total, we examined 30 criteria within this section. Would you like to delve further into the topic ‘Decision Management’? Then download here our BI & Analytics Study. Or take a deep dive in the following content:

3. DataRobot BI Infrastructure

40%

The vendor DataRobot has a moderate performance in our recently updated, independent BI & Analytics study on the subject ‘BI Infrastructure’, given that they score 40% on this, compared to other vendors. We looked at the following criteria, among others: authentication, infrastructure, repository, embedded analytics, scalability, and high availability. In total, we examined 162 selection criteria within this main theme. Would you like to delve further into the topic ‘BI Infrastructure’? Then download here our BI & Analytics Guide 2024.

4. DataRobot Big Data

37%

The company has a moderate rating in our study on the section ‘Big Data’ with a score of 37%, relative to other vendors. We used the following selection criteria: streaming and unstructured data. In total, we examined 59 selection criteria within this main theme. Would you like to go into more depth with the topic ‘Big Data’? Then download here our BI & Analytics Guide. Or take a deep dive in the following content:

5. DataRobot Data Governance

34%

DataRobot has a moderate rating in our objective BI & Analytics survey on the subject ‘Data Governance’. The company scores 34% on this topic, compared to other vendors. The following criteria were used: data management, data quality, data catalog, data encryption, data lineage, and data acquisition layer. In total, we examined 91 features within this discipline. Are you planning to specialize further in the topic ‘Data Governance’? Then download here our BI & Analytics Guide.

6. DataRobot Real-time Analytics

33%

DataRobot has a moderate score in our 100% vendor-independent BI & Analytics survey on the section ‘Real-time Analytics’. The score amounts to 33%, relative to other vendors. The following criteria were used: real-time, real-time data, data ingestion, near real-time, real-time insights, and live connection. In total, we examined 19 criteria within this section. Are you excited about the topic ‘Real-time Analytics’? Then download here our BI & Analytics Study.

7. DataRobot Business Intelligence

30%

The vendor DataRobot has a moderate score in our objective BI & Analytics survey on the section ‘Business Intelligence’. The score amounts to 30%, relative to other vendors. We considered the following factors: reporting and dashboards. In total, we examined 73 criteria within this section. Would you like to delve further into the topic ‘Business Intelligence’? Then download here our BI & Analytics Study 2024.

8. DataRobot Data Connectivity

27%

The company has a poor score in our objective BI & Analytics survey on the subject ‘Data Connectivity’, given that they score 27% on this, relative to other vendors. We used the following selection criteria: Sharepoint, connectivity, native, Teradata, Google Analytics, and Amazon Redshift. In total, we examined 91 selection criteria within this main theme. Would you like to go into more depth with the topic ‘Data Connectivity’? Then download here our BI & Analytics Guide 2024.

9. DataRobot Analytics

27%

The company has a poor performance in our 100% vendor-independent BI & Analytics survey of the theme ‘Analytics’. The company scores 27% on this topic, compared to other vendors. We considered the following factors: analytics platform, customer analytics, retail analytics, marketing analytics, quality analytics, and operations analytics. In total, we examined 130 features within this discipline. Would you like to go into more depth with the topic ‘Analytics’? Then download here our BI & Analytics Guide.

10. DataRobot Self-service BI

23%

DataRobot has a poor score in our independent BI & Analytics survey on the subject ‘Self-service BI’, given that they score 23% on this, relative to other vendors. The following criteria were used: self-service data preparation, self-service reporting, self-service data discovery, self-service data analytics, self-service data visualization, self-service data exploration, and self-service analytics platform. In total, we examined 14 features within this discipline. Would you like to delve further into the topic ‘Self-service BI’? Then download here our BI & Analytics Guide.

11. DataRobot Data Discovery

19%

DataRobot has a poor performance in our study on the subject ‘Data Discovery’. The score amounts to 19%, compared to other vendors. We looked at the following criteria, among others: time series, data visualization, notifications, and standard deviation. In total, we examined 398 selection criteria within this main theme. Would you like to become more proficient in the topic ‘Data Discovery’? Then download here our BI & Analytics Guide.

12. DataRobot Performance Optimization

16%

DataRobot has a poor rating in our 100% vendor-independent BI & Analytics survey on the section ‘Performance Optimization’ with a score of 16%, compared to other vendors. We considered the following factors: data pipelines, materialized views, quantum computing, cached data, and cache settings. In total, we examined 29 aspects in this category. Are you excited about the topic ‘Performance Optimization’? Then download here our BI & Analytics Guide 2024.

13. DataRobot Data Integration

14%

The vendor DataRobot has a poor performance in our objective BI & Analytics survey on the section ‘Data Integration’, given that they score 14% on this, relative to other vendors. The following criteria were used: data warehousing and data virtualization. In total, we examined 76 criteria within this section. Would you like to go into more depth with the topic ‘Data Integration’? Then download here our BI & Analytics Guide.

14. DataRobot Mobile Business Intelligence

4%

DataRobot has a poor rating in our objective BI & Analytics survey on the subject ‘Mobile Business Intelligence’. The score amounts to 4%, compared to other vendors. The following criteria were used: Android and mobile server. In total, we examined 10 features within this discipline. Would you like to delve further into the topic ‘Mobile Business Intelligence’? Then download here our BI & Analytics Study.

15. DataRobot Multidimensional Models

0%

The vendor DataRobot has a poor rating in our study on the subject ‘Multidimensional Models’. The score amounts to 0%, compared to other vendors. We considered the following factors: ROLAP and tabular data models. In total, we examined 14 selection criteria within this main theme. Would you like to become more proficient in the topic ‘Multidimensional Models’? Then download here our BI & Analytics Guide.

Want to know more? Then order the BI & Analytics Guide™ 2024 here

In which sectors is DataRobot BI & Analytics most active?

In our current BI & Analytics survey, we also found out at which industries a supplier moves around. These are the industries where DataRobot is most frequently used: banking, energy, fashion, higher education, manufacturing, public sector, universities, and utilities.

DataRobot software is most used by…

The BI & Analytics software from DataRobot is most often mentioned in combination with the following functions/roles: analytics lead, business analysts, data analysts, data engineers, information steward, product marketing, and product marketing manager.

Hire a qualified DataRobot developer

Training and incompany training DataRobot BI & Analytics

We facilitate various training courses in the field of BI & Analytics but can also provide specific DataRobot training, for example as in-company. During the sessions, we investigate multiple software programs and their features including DataRobot Artificial Intelligence, DataRobot Core, and DataRobot AutoML. Of course, we color such a training with the ideas of the intelligent, data-driven organization.

In conclusion: DataRobot platform scores reasonably well

DataRobot has a minimal product portfolio with which it scores reasonably well in our BI & Analytics survey. DataRobot BI & Analytics innovates (approximately) at an average rate of more than 15 features per year, is active (for now) in many different sectors, and specializing in artificial intelligence.

About Passionned Group

logo of Passionned Group, the DataRobot BI & Analytics specialistPassionned Group helps organizations with data-driven working and the implementation of BI & Analytics solutions. We help large and small governments and businesses to advance as intelligent, data-driven organizations.

Get in touch with us

You May Also Like

Featured image Creatio CRM & Customer Interaction
Creatio CRM & Customer Interaction
Featured image Snowflake ETL & Data Integration
Snowflake ETL & Data Integration
Featured image CRMNEXT CRM & Customer Interaction
CRMNEXT CRM & Customer Interaction

A selection of our customers

Become a customer now

Do you also want to become a customer of ours? We are happy to help you with data-driven working or other things that will make you smarter.

Photo Daan van Beek - Business PartnerDAAN VAN BEEK MScBusiness Partner

Contact me directly

Fact sheet

___
customers
___
training courses
___
people trained
9.3
customer satisfaction
___
consultants & teachers
19
years of experience