DataRobot BI & Analytics
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 Infor but slightly worse than ThoughtSpot. DataRobot is outstanding in BI infrastructure and comes out the least strong in the category 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.
- Pros and cons DataRobot
- What is Artificial Intelligence?
- Avoid the 7 Big Data pitfalls
- Data Science program (Master's track)
Gather objective knowledge about DataRobot Artificial Intelligence, DataRobot Core and DataRobot AutoML
How does DataRobot BI & Analytics score on different parts?
Figure 1: Scorecard of the BI provider DataRobot. A top supplier can get a maximum of 100%. Source: the BI & Analytics Guide 2022. Do you want to take a deep dive into our research design? Click here to download this guide.
In our survey we also judged all relevant products of DataRobot software. More than 690 evaluation criteria were examined. The bar chart below illustrates the strengths and weaknesses of DataRobot platform. 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 relationship with the vendor. Among other things, we help and advise companies in the proper selection of BI tooling.
The DataRobot analysis was conducted by tapping into a lot of public big data and from there it was analyzed in-depth. More than 943 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.
In our 100% vendor-independent BI & Analytics Guide we have collected all the ins and outs of DataRobot BI & Analytics 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 guide you in the further development of your knowledge about BI & Analytics. Download now.
DataRobot and their complete BI & Analytics product portfolio
The software company DataRobot carries (a minimum of) 4 products in the realm of BI & Analytics. Based on relevance we list the products below:
What is DataRobot platform?
We do not display here all the features 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 and DataRobot AutoML. This product / group of products can be characterized by the following characteristics:
- BI infrastructure > Application Programming Interface
- BI infrastructure > scalability > cloud platform
- analytics
- artificial intelligence > data science
- artificial intelligence > machine intelligence
- artificial intelligence > machine learning > automated machine learning
- artificial intelligence > machine learning > machine learning models
- data discovery > time series
Are you now curious about all features (100+) of DataRobot platform? Download the BI & Analytics Guide™ 2022 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 an DataRobot platform application? Or do you want implement an application for one of the related products like DataRobot Artificial Intelligence and DataRobot Core? 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.
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:
- BI infrastructure > open source
- BI infrastructure > scalability > cloud platform
- artificial intelligence > algorithms
- artificial intelligence > data science
- artificial intelligence > machine learning > machine learning models
- artificial intelligence > natural language processing
- data governance > data management
- regressions
Are you now curious about all elements (100+) of DataRobot Artificial Intelligence? Download the BI & Analytics Guide™ 2022 here.
What is DataRobot Core?
In this paragraph, we give you insight in the key behaviors of DataRobot Core, including some of its features and any related products. DataRobot Core can be characterized by the following characteristics:
- BI infrastructure > scalability > cloud platform
- analytics
- artificial intelligence > data science
- artificial intelligence > machine learning > automated machine learning
- artificial intelligence > machine learning > machine learning models
- data discovery > time series
- data governance > data management > data preparation
- decision management > decision intelligence
Do you want to know everything about all properties (100+) of DataRobot Core? In that case open the BI & Analytics Guide™ 2022 here.
What is DataRobot AutoML?
We do not display here all the features but, in this paragraph, we describe the key elements of DataRobot AutoML, including some of its features and any related products. DataRobot AutoML can be best characterized by the following features:
- BI infrastructure > scalability > cloud platform
- artificial intelligence > Python
- artificial intelligence > algorithms
- artificial intelligence > machine learning > automated machine learning
- data discovery > analysis > forecasting
- data discovery > time series
- data governance > data management > data preparation
Do you want to know the intricacies of all properties (100+) of DataRobot AutoML? Open the BI & Analytics Guide™ 2022 here.
Recent innovations of DataRobot platform-tools and the version history
Recently, we see a stable trend in terms of BI & Analytics functionality. The latest innovations are in the areas of data discovery > data visualization > heat maps, data integration > data virtualization and data discovery > analysis > sentiment analysis.
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: 7
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 running 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.
The advantages and disadvantages of DataRobot platform
Figure 11: 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, et cetera. There is momentum, because: DataRobot can currently work on developing features that meet specific customer needs at this time (such as support for Sharepoint, ODBC, KPI, Android, conditional formatting, Microsoft Excel, cloud analytics, IBM Db2, Office 365 and MDX). 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 BI Infrastructure
The vendor DataRobot has a moderate score in our independent BI & Analytics survey of the theme ‘BI Infrastructure’, given that they score 43% on this, relative to other vendors. However, this is one of the best engineered parts of DataRobot. We looked at the following criteria, among others: authentication, infrastructure, repository, embedded analytics, scalability and high availability. In total, we examined 166 criteria in this category. Are you planning to specialize further in the topic ‘BI Infrastructure’? Then download here our BI & Analytics Guide.
2. DataRobot Artificial Intelligence
The company has a moderate score in our independent BI & Analytics survey of the theme ‘Artificial Intelligence’ with a score of 41%, compared to other vendors. We considered the following factors: data science, Python, data mining, algorithms, natural language processing, cognitive services and computer vision. In doing so, we looked at the following four products: DataRobot Artificial Intelligence, DataRobot Core, DataRobot platform and DataRobot AutoML. In total, we examined 171 criteria within this section. Would you like to delve further into the topic ‘Artificial Intelligence’? Then download here our BI & Analytics Study. Or take a deep dive in the following content:
3. DataRobot Self-service BI
The vendor DataRobot has a moderate performance in our recently updated, independent BI & Analytics study on the subject ‘Self-service BI’, given that they score 37% on this, compared to other vendors. We looked at the following criteria, among others: self-service data preparation, self-service reporting, self-service data discovery, self-service data visualization, self-service data analytics and self-service data exploration. In total, we examined 16 selection criteria within this main theme. Would you like to delve further into the topic ‘Self-service BI’? Then download here our BI & Analytics Guide 2022.
4. DataRobot Decision Management
The company has a moderate rating in our study on the section ‘Decision Management’ with a score of 34%, relative to other vendors. We used the following selection criteria: performance management and decision-making platform. In total, we examined 30 selection criteria within this main theme. Would you like to go into more depth with the topic ‘Decision Management’? Then download here our BI & Analytics Guide. Or take a deep dive in the following content:
5. DataRobot Data Connectivity
DataRobot has a moderate rating in our objective BI & Analytics survey on the subject ‘Data Connectivity’. The company scores 34% on this topic, compared to other vendors. The following criteria were used: Sharepoint, connectivity, native, Teradata, Google Analytics, Amazon Redshift and PostgreSQL. In total, we examined 95 features within this discipline. Are you planning to specialize further in the topic ‘Data Connectivity’? Then download here our BI & Analytics Guide.
6. DataRobot Data Governance
DataRobot has a moderate score in our 100% vendor-independent BI & Analytics survey on the section ‘Data Governance’. The score amounts to 34%, relative to other vendors. The following criteria were used: data management, data quality, data catalog, data encryption, data lineage and data acquisition layer. In doing so, we analyzed the following products: DataRobot Artificial Intelligence. In total, we examined 82 criteria within this section. Are you excited about the topic ‘Data Governance’? Then download here our BI & Analytics Study. Or take a deep dive in the following content:
7. DataRobot Big Data
The vendor DataRobot has a poor score in our objective BI & Analytics survey on the section ‘Big Data’. The score amounts to 29%, relative to other vendors. We considered the following factors: streaming and unstructured data. In total, we examined 58 criteria within this section. Would you like to delve further into the topic ‘Big Data’? Then download here our BI & Analytics Study 2022.
8. DataRobot Analytics
The company has a poor score in our objective BI & Analytics survey on the subject ‘Analytics’, given that they score 27% on this, relative to other vendors. We used the following selection criteria: analytics platform, customer analytics, marketing analytics, retail analytics, data center analytics and operations analytics. In doing so, we investigated the following two products: DataRobot platform and DataRobot Core. In total, we examined 127 selection criteria within this main theme. Would you like to go into more depth with the topic ‘Analytics’? Then download here our BI & Analytics Guide 2022. Or take a deep dive in the following content:
9. DataRobot Performance Optimization
The company has a poor performance in our 100% vendor-independent BI & Analytics survey of the theme ‘Performance Optimization’. The company scores 26% on this topic, compared to other vendors. We considered the following factors: materialized views, data pipelines, quantum computing, cached data and cache settings. In total, we examined 29 features within this discipline. Would you like to go into more depth with the topic ‘Performance Optimization’? Then download here our BI & Analytics Guide.
10. DataRobot Real-time Analytics
DataRobot has a poor score in our independent BI & Analytics survey on the subject ‘Real-time Analytics’, given that they score 24% on this, relative to other vendors. The following criteria were used: real-time, real-time data, data ingestion, near real-time, real-time insights, live connection and real-time data warehousing. In total, we examined 20 features within this discipline. Would you like to delve further into the topic ‘Real-time Analytics’? Then download here our BI & Analytics Guide. Or take a deep dive in the following content:
11. DataRobot Business Intelligence
DataRobot has a poor performance in our study on the subject ‘Business Intelligence’. The score amounts to 23%, compared to other vendors. We looked at the following criteria, among others: reporting, business intelligence platform, enterprise business intelligence and business process monitoring. In total, we examined 75 selection criteria within this main theme. Would you like to become more proficient in the topic ‘Business Intelligence’? Then download here our BI & Analytics Guide.
12. DataRobot Data Discovery
DataRobot has a poor rating in our 100% vendor-independent BI & Analytics survey on the section ‘Data Discovery’ with a score of 21%, compared to other vendors. We considered the following factors: time series, data visualization, notifications, standard deviation, data storytelling and share insights. In total, we examined 394 aspects in this category. Are you excited about the topic ‘Data Discovery’? Then download here our BI & Analytics Guide 2022.
13. DataRobot Data Integration
The vendor DataRobot has a poor performance in our objective BI & Analytics survey on the section ‘Data Integration’, given that they score 20% on this, relative to other vendors. The following criteria were used: data warehousing and data virtualization. In total, we examined 83 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
DataRobot has a poor rating in our objective BI & Analytics survey on the subject ‘Mobile Business Intelligence’. The score amounts to 11%, compared to other vendors. The following criteria were used: Android and mobile server. In total, we examined 11 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
The vendor DataRobot has a poor rating in our study on the subject ‘Multidimensional Models’. The score amounts to 8%, compared to other vendors. We considered the following factors: ROLAP and tabular data models. In total, we examined 16 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.
In which sectors is DataRobot BI & Analytics most active?
In our 100% vendor-independent BI & Analytics survey about, we also looked at which industries a supplier moves around. These are the industries where DataRobot is most frequently used: banking, health care, insurance and retail.
DataRobot software is most used by…
The BI & Analytics software from DataRobot is most often mentioned in combination with the following function: data scientists.
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 incompany. For example, you can think about the following software: 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 less than 5 features per year, is active (for now) in relatively few sectors, and specializing in BI infrastructure.
About Passionned Group
Passionned Group specializes in 100% independent BI & Analytics consulting and the implementation of BI & Analytics solutions. We help large and small governments and businesses to advance as intelligent, data-driven organizations.
