

DataRobot and SAP Business Data Cloud are competitive products in business data management and analytics. DataRobot demonstrates strengths in deployment speed and customer service, while SAP Business Data Cloud offers a more extensive feature set and perceived value.
Features: DataRobot offers automated machine learning, intuitive model deployment, and efficient management. SAP Business Data Cloud provides comprehensive data integration, robust tools for data analysis, and effective visualization capabilities.
Ease of Deployment and Customer Service: DataRobot has a straightforward deployment process focusing on rapid implementation and responsive support. SAP Business Data Cloud, with a more complex deployment due to its extensive suite, provides strong integration support and customization.
Pricing and ROI: DataRobot's pricing is competitive, delivering fast ROI through its machine learning solutions. SAP Business Data Cloud, although requiring a larger investment, offers significant ROI with its comprehensive management and integration capabilities.
On average, we're saving about 10 to 15 hours per project.
I have seen a return on investment, specifically with increased data science productivity by four times, time saved with deploying models, and homogeneous analysis models developed easily.
They answer all my questions and share guidance on using DataRobot scripts if certain functionalities are not available in the UI.
Being cloud-hosted enables automatic resource scaling, which supports collaboration across teams.
The customer support from DataRobot is proactive and responsive.
The technical support is a very well-organized service, with a lot of tools for me as a consultant and for the end user on how to contact SAP support and get issues solved.
We are satisfied with the technical support from SAP because when we reached out, we were able to get very good support from SAP colleagues.
I am satisfied with SAP's technical support team; they provide very good support.
DataRobot's scalability is very strong and grows with my organization's needs.
SAP Analytics Cloud can be used by a small company, and it can be used by a large corporate.
I would rate its scalability up to nine on a scale of one to ten.
DataRobot is very stable.
You have a chance to test it on your test tenant in small increments, so it should not break your productive reports and productive environment.
DataRobot is a UI-based tool, which means it cannot provide all the features I might manually implement through notebooks or Python.
There is a lack of transparency in the models; sometimes it feels like a black box.
Another improvement that DataRobot needs is integrating the capability to modify the whole pipeline with Python.
On the other hand, it is perfectly fitting to the SAP environment, with seamless integration to all SAP modules, not only ERP but also SuccessFactors and other tools from the SAP family.
Documentation-wise, we see some gaps when trying to connect different solutions.
The setup cost was minimal because it's cloud-hosted, eliminating the need for heavy on-premises infrastructure, allowing us to start using it immediately after purchase.
My experience with pricing, setup cost, and licensing reveals that the price points can be improved and DataRobot is not so cost-effective, especially for smaller organizations.
By automating highly technical aspects like model comparison, DataRobot enhances productivity and reduces project timelines from three months to less than one month.
DataRobot has positively impacted our organization in many ways. First, it has improved efficiency; tasks such as model testing, feature engineering, and predictions that used to take us days or weeks can now be accomplished in hours.
When business leaders ask for the fastest possible solution, DataRobot is our go-to platform.
For SuccessFactors and S/4HANA Cloud, there are pre-built reports available which are commonly used by customers.
The capabilities of SAP Analytics Cloud that I consider the most valuable are that all three functionalities are in one tool.

| Company Size | Count |
|---|---|
| Small Business | 2 |
| Midsize Enterprise | 1 |
| Large Enterprise | 5 |
| Company Size | Count |
|---|---|
| Small Business | 24 |
| Midsize Enterprise | 13 |
| Large Enterprise | 39 |
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.
SAP Business Data Cloud is a robust platform designed to streamline data integration and management across enterprises. It provides efficient solutions to harness and analyze data for enhanced decision-making and operational effectiveness.
SAP Business Data Cloud offers businesses a comprehensive approach to manage data traffic, ensuring seamless integration and accessibility. By leveraging cloud capabilities, it enhances data usability and supports strategic business processes. This is particularly advantageous in a rapidly evolving technological landscape where agility and adaptation are key to competitiveness.
What are the most important features of SAP Business Data Cloud?SAP Business Data Cloud finds application across multiple industries such as finance, where it aids in risk management and regulatory compliance. In retail, it enhances supply chain efficiencies, while in manufacturing, it supports production optimization. The adaptability of SAP Business Data Cloud makes it valuable across sectors.
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