DataRobot vs SAP Analytics Cloud comparison

DataRobot and SAP are both solutions in the Predictive Analytics category. DataRobot is ranked #5 with an average rating of 8.7, while SAP is ranked #2 with an average rating of 7.6. DataRobot holds a 9.5% mindshare in PA, compared to SAP’s 15.2% mindshare. Additionally, 100% of DataRobot users are willing to recommend the solution, compared to 91% of SAP users who would recommend it.

DataRobot

Read 5 DataRobot reviews

761 Views
346 Comparison Views

100% willing to recommend

SAP Analytics Cloud

Read 70 SAP Analytics Cloud reviews

811 Views
513 Comparison Views

91% willing to recommend

DataRobot

SAP Analytics Cloud

Comparison Buyer's Guide

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Executive SummaryUpdated on Apr 6, 2025

DataRobot and SAP Analytics Cloud compete in analytics and data-driven decision-making. DataRobot excels with ease of use and pricing, offering robust predictive modeling. SAP Analytics Cloud stands out for comprehensive features, making it a strong choice for integrated solutions.

Features: DataRobot offers automated machine learning, facilitating model creation for non-technical users. It integrates robust MLOps, simplifies feature engineering, and enables rapid deployment. SAP Analytics Cloud provides strong planning and business intelligence capabilities, enhanced by augmented analytics and simplified application design. Its user-friendly, drag-and-drop interface supports creating reports without coding.

Room for Improvement: DataRobot could improve by expanding advanced customization options for data analytics and enhancing integration with third-party software. More comprehensive data visualization tools would also be beneficial. SAP Analytics Cloud could benefit from lower initial costs, reduce complexity in feature use, making some features more accessible, and improve real-time data processing capabilities for larger datasets.

Ease of Deployment and Customer Service: DataRobot is easy to deploy with strong support, fostering speedy setup. Its GUI simplifies analytics use. SAP Analytics Cloud's deployment requires more effort due to its breadth, but is supported by SAP's extensive customer service. Both offer valuable deployment experiences based on user needs.

Pricing and ROI: DataRobot is competitively priced, accelerating ROI through faster model development and deployment. It provides good value for quick deployment needs. SAP Analytics Cloud may involve a higher initial cost but is seen as delivering long-term ROI with its comprehensive analytics capacity. Both pricing models provide advantages depending on business goals.

To learn more, read our detailed DataRobot vs. SAP Analytics Cloud Report (Updated: April 2025).

Buyer's Guide

DataRobot vs. SAP Analytics Cloud

April 2025

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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 Predictive Analytics

5th

Average Rating

8.6

Reviews Sentiment

7.2

Number of Reviews

Ranking in other categories

AI Development Platforms (12th), AIOps (16th)

SAP Analytics Cloud

Ranking in Predictive Analytics

2nd

Average Rating

8.0

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

BI (Business Intelligence) Tools (4th)

Mindshare comparison

As of May 2025, in the Predictive Analytics category, the mindshare of DataRobot is 9.5%, up from 8.8% compared to the previous year. The mindshare of SAP Analytics Cloud is 15.2%, up from 12.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Predictive Analytics

Featured Reviews

SagarYadav

Staff Specialist Data Scientist at BMC Software, Inc.

Automating model comparison speeds up development and reduces timelines

DataRobot is equipped with a GUI-based approach that simplifies the process of feature engineering and model training. It provides AutoML capabilities, which allow for comparing thousands of models and selecting the best-suited one based on business requirements. By automating highly technical aspects like model comparison, DataRobot enhances productivity and reduces project timelines from three months to less than one month.

Read full review

RamasamyTelungupalayam

Product Manager - ERP Analytics and BI at Haleon

Seamless integration, collaborative features, and enhances data exploration

There are several areas for improvement in SAP Analytics Cloud. Firstly, features available in SAP Lumira are missing in SAP Analytics Cloud. Secondly, the predictive analytics functions, although promising, are currently only suitable for Proof of Concepts (POCs) and not for industrial-scale use. Lastly, the pricing model for the planning functionality is quite high and presents an entry barrier.

Read full review

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."

"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 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."

"The most valuable features are the analytical application and the user story."

"I would recommend this solution for companies that are SAP dependent with users working in this environment."

"The visualizations have been the most valuable feature."

"The most valuable features of SAP Analytics Cloud are its native integration with SAP data and the ability to leverage SAP artifacts."

"There is a seamless integration with SAP S4HANA which is really valuable to our organization and its functions. Since the data is stored in the same ecosystem, it creates a simple process of building dashboards, without making the process cumbersome The Analytics Cloud provides standardized templates and storage options, making it easy to plug into existing structures. We're utilizing custom stories that have already been developed, streamlining the development process. It serves as a convenient starting point and contributes to the overall ease of development. Another advantage is that it doesn't provide the same level of calculation power as Power BI and Tableau. SAP Analytics Cloud emphasizes pushing analytics back into the database, recommending data manipulation and preparation outside of the platform. This approach is seen as an advantage, as it allows for more robust data handling."

"I like the connectivity the solution provides with other products."

"The solution is stable."

"It is a comprehensive BI solution that provides reporting, planning, and predictive analytics in one solution. You don't have to buy three different products. It is very flexible. It can be implemented very quickly. It has a lot of out-of-the-box scenarios that you can use for quick deployment."

More SAP Analytics Cloud pros

Cons

"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."

"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."

"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."

"SAP Analytics Cloud requires a lot of coding and I would like the coding to be somewhat minimal."

"SAP Analytics cloud needs better exporting options."

"The main area that needs improvement is visualization."

"Improvements are coming quarterly whereas previously it was on a monthly basis."

"They need more support for more languages, Python for example."

"There is no direct connector from SAP to Redshift, so we are required to use a third-party product that was recommended by SAP."

"The predictive analytics functions, although promising, are currently only suitable for Proof of Concepts (POCs) and not for industrial-scale use."

"Some algorithms are complex and can't be processed by just tagging the data and expecting results."

More SAP Analytics Cloud cons

Pricing and Cost Advice

"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."

"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."

"The product is expensive."

"The price is competitive. There is a power user license and normal user license, but the normal user license is reasonable."

"Its price is slightly on the higher side."

"The platform is about 50% more expensive than Power BI."

"SAP pricing tends to be premium, so it is slightly higher."

"It is not the most expensive one. You have to do the cost-of-ownership analysis and take a lot of things into consideration to come up with the conclusion that it is cheaper or not, but its price is reasonable. It provides value for money."

"Its pricing is okay as compared to its competitors."

"The premium option is very expensive at five thousand dollars. I use the nine hundred and ninety-nine dollar option."

More SAP Analytics Cloud pricing and cost advice

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Top Industries

By visitors reading reviews

Educational Organization

19%

Financial Services Firm

13%

Manufacturing Company

Computer Software Company

Manufacturing Company

17%

Educational Organization

11%

Computer Software Company

Financial Services Firm

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What needs improvement with DataRobot?

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.

See all answers

What is your primary use case for DataRobot?

In our day-to-day use, I utilize DataRobot to speed up our development process through its GUI capability. Once I set up our connection with a back-end data set, whatever the project I work on next...

See all answers

What advice do you have for others considering DataRobot?

I would recommend DataRobot because if there is something not included in the UI, I have the freedom to use its Python API, which extends the capability for different use cases. Additionally, I wou...

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Which would you choose - Tableau or SAP Analytics Cloud?

Tableau is easy to set up and maintain. In about a day it is possible for the entire platform to be deployed for use. This relatively short amount of time can make all the difference for companies ...

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What do you like most about SAP Analytics Cloud?

In the data warehouse, you're free to make changes. You can make everything text, meaning it's always a string. Even numbers appear as text, giving you the flexibility to work with all columns.

See all answers

What is your experience regarding pricing and costs for SAP Analytics Cloud?

The pricing model for SAP Analytics Cloud is quite competitive, but the cost for the planning functionality is high and can be a barrier to entry. The overall cost can be managed with better billin...

See all answers

Comparisons

Amazon SageMaker vs DataRobot

Compared 37% of the time

Datadog vs DataRobot

Compared 12% of the time

Microsoft Azure Machine Learning Studio vs DataRobot

Compared 11% of the time

Altair RapidMiner vs DataRobot

Compared 10% of the time

Alteryx vs DataRobot

Compared 8% of the time

More DataRobot Competitors

Tableau vs SAP Analytics Cloud

Compared 18% of the time

SAP BusinessObjects Business Intelligence Platform vs SAP Analytics Cloud

Compared 15% of the time

IBM Planning Analytics vs SAP Analytics Cloud

Compared 13% of the time

Microsoft Power BI vs SAP Analytics Cloud

Compared 11% of the time

Anaplan vs SAP Analytics Cloud

Compared 11% of the time

More SAP Analytics Cloud Competitors

Product Reports

Buyer's Guide

Predictive Analytics

April 2025

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Buyer's Guide

SAP Analytics Cloud

April 2025

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Also Known As

No data available

SAP BusinessObjects Cloud

Overview

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.

DataRobot

SAP Analytics Cloud is an all-in-one Software-as-a-Service business intelligence tool that provides the key functionalities of an analytics tool to SAP business users. This tool is built on HANA Business Intelligence (BI) platform, providing analytics from data collected from multiple sources, such as ERP, Microsoft SQL, and Salesforce, among other solutions.

You can use SAP Analytics Cloud to compile data and perform ad-hoc reporting and analysis for predictive planning. SAP Analytics Cloud collects and analyzes the raw data from transactional systems into intelligent insights that allow you to make better decisions.

SAP Analytics Cloud uses machine learning to clean up data, identify errors, and issues, and suggest optimization or filtering options. You can use the modeling feature in Analytics Cloud to create hierarchies and get deeper data insights.

The three core functions of SAP Analytics Cloud consist of Planning, Predictive Analysis, and Business Intelligence as a holistic SaaS solution that offers real-time analysis to business leaders.

SAP Analytics Cloud Capabilities

Data discovery
Machine learning
Integrated financial and business planning
Predictive analysis
Automated data cleansing
Custom widgets
Mobile extension
Role-based customization
Data exploration and visualization

SAP Analytics Cloud Key Features

Augmented analytics: SAP Analytics Cloud allows organizations to make the most of AI (Artificial Intelligence)-powered analytics through augmented analytics. It includes a Search to Insight feature that enables users not skilled or experienced in data science to access and use the platform.

These smart insight tools allow organizations to visualize business data without manual intervention. By combining multiple machine learning algorithms, SAP Analytics Cloud automates predictive analysis so that organizations can have significant insight into secured data.

Enterprise planning: As SAP Analytics Cloud is an all-in-one financial planning and analysis solution, organizations can use it to align strategies across all departments. It allows end-to-end, data-driven planning decisions via financial modeling, allocations, smart insights, and automated reporting.

The Zero-based budgeting feature allows for an effective resources allocation with built-in collaboration tools. The finance team can collaborate easily, create budget templates and make accurate decisions.

SAP Analytics Cloud Benefits

Real-time cloud insights: SAP Analytics Cloud makes it easy for users at every level to generate instant insights and improve data-driven decision-making. With SAP Analytics Cloud, you can have immediate and central access to all figures, diagrams, insights, and evaluations for every employee on every device and updated in real time.
Customizable dashboard: You can customize your dashboard according to your requirements. This customization means you can easily access all the relevant data on a single pane of vision tailored to your business.
Collaborative planning: As an all-in-one platform, SAP Analytics Cloud integrates the multiple aspects of a business into a single solution, including finance, HR, sales, and supply chain management.
Data on any device: You can integrate SAP Analytics Cloud with SAP S/4 HANA and deploy insights to Android and iOS devices. The SAP S/4 HANA integration also enables the rolling out of changes to multiple files and devices from a central location, so you can carry your business operations on the go over a secured cloud network.
In-memory technology: Since it is based on SAP HANA in-memory technology, SAP Analytics Cloud can process massive amounts of data in a short time.

Reviews from Real Users

Segun O., SAP HANA Developer at SOA PEOPLE, says that "The most valuable features are on the application side, where you can design applications into your analytics on the platform."

The Head of Finance Enterprise Application at a computer software company adds that "The visualization feature is the most valuable. SAP Analytics Cloud is also very easy to use."

"Its many features make it the best in the market," sums up a Consultor SAP Business Object, Sap Analytics Cloud at a tech services company.

SAP

Sample Customers

Harmoney, Zidisha, ONE Marketing, DonorBureau, Trupanion, Avant

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Buyer's Guide

DataRobot vs. SAP Analytics Cloud

April 2025

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