

DataRobot and SAP Business Data Cloud compete in the data technology space. DataRobot is notable for algorithmic depth and system integration ease, while SAP Business Data Cloud is recognized for its scalability and comprehensive data management, making it a superior choice for many due to its extensive functionality justifying a higher cost.
Features: DataRobot specializes in automated machine learning, streamlining AI tasks. It provides robust predictive analytics and integrates seamlessly with various data sources. SAP Business Data Cloud offers advanced data orchestration and superior scalability, supporting complex data environments with a rich toolset for real-time analytics.
Room for Improvement: DataRobot could enhance its scalability for very large data sets and expand its feature set for complex data landscapes. It might also improve user training resources for beginners. SAP Business Data Cloud may improve its deployment ease, reduce setup complexity, and address cost concerns by offering more flexible pricing options for smaller enterprises.
Ease of Deployment and Customer Service: DataRobot offers straightforward deployment with supportive onboarding, focusing on rapid integration. Although SAP Business Data Cloud involves a complex initial setup due to extensive features, it benefits from strong SAP support and community resources, which aid in managing diverse data environments effectively.
Pricing and ROI: DataRobot generally has lower initial setup costs, providing good ROI through quick deployment and efficient model building. SAP Business Data Cloud requires higher setup costs but offers a potentially greater ROI through comprehensive data processing and management tools, appealing to large-scale operations.
Previously we had five employees doing the entire workflow, and now we can do it with two employees because agents are being used to do the same which was previously being done by the employees.
On average, we're saving about 10 to 15 hours per project.
It has enabled time-saving and cost-saving, which are key benefits of DataRobot.
We have saved a lot on the number of employees, and implementation time for the projects has reduced significantly since we started using the standard features of SAP Business Data Cloud.
Once the content is available, then it is a faster go-live with lesser cost in implementation, and that would give an ROI.
It will definitely reduce the need for more staff to handle this technology.
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 DataRobot team was very helpful in answering the questions which the customer had.
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.
For example, when I provide a set of instructions, they often simply ask me to implement those steps without checking whether they are applicable.
In SAP's policy, for the first couple of years, the product team is also part of the support team.
DataRobot is very scalable because the customer initially started with two licenses, and now they have around 20 licenses.
DataRobot's scalability is impactful, as it really helps maintain various solutions across different requirements and features.
The scalability of SAP Business Data Cloud has been strong, as it has handled growth in data volume, user demand, and reporting requirements without significant performance issues.
SAP Analytics Cloud can be used by a small company, and it can be used by a large corporate.
Since SAP has consolidated everything on one platform, there is ample room to expand as much as needed.
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.
It has been reliable for reporting, analytics, and data integration activities.
Other than during these quarterly release periods, the availability is excellent.
If DataRobot also adds those data transformation capabilities, then it will be an end-to-end tool and the customer will not have to procure many tools for doing the ingestion and transformation process.
The integration of DataRobot would greatly benefit from allowing more realistic tools and would be improved if it integrates more comprehensively with AWS cloud and other cloud platforms.
DataRobot is a UI-based tool, which means it cannot provide all the features I might manually implement through notebooks or 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.
If SAP can come up with innovative options to reduce licensing costs, many customers would incline toward SAP Business Data Cloud.
If I compare the cost with SAP competitors, I find that when creating an enterprise data lake, if I don't use SAP Business Data Cloud and make it directly in the hyperscalers, it is pretty much cheaper than doing the same in SAP Business Data Cloud.
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.
If I compare the cost with SAP competitors, I find that when creating an enterprise data lake, if I don't use SAP Business Data Cloud and make it directly in the hyperscalers, it is pretty much cheaper than doing the same in SAP Business Data Cloud.
Frankly, pricing, setup cost, and licensing seem a bit high compared to other hyperscalers.
The pricing for SAP Business Data Cloud is higher compared to alternatives.
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.
The automated machine learning and AI features of DataRobot have helped us build predictive models rapidly using hundreds of algorithms.
For SuccessFactors and S/4HANA Cloud, there are pre-built reports available which are commonly used by customers.
SAP Business Data Cloud has positively impacted my organization by federating SAP data, which is now available for all to use.
The main standout feature is BDC Connect, as it is very useful for sharing data without replicating to third-party tools such as Enterprise Databricks, Snowflake or even in the near future, Google BigQuery as well as Microsoft Fabric.
| Product | Mindshare (%) |
|---|---|
| SAP Business Data Cloud | 5.5% |
| DataRobot | 5.7% |
| Other | 88.8% |

| Company Size | Count |
|---|---|
| Small Business | 2 |
| Midsize Enterprise | 1 |
| Large Enterprise | 7 |
| Company Size | Count |
|---|---|
| Small Business | 40 |
| Midsize Enterprise | 20 |
| Large Enterprise | 53 |
DataRobot automates model building and deployment, simplifying MLOps with user-friendly interfaces. Its AutoML and feature engineering streamline model comparison, selection, and testing, enhancing efficiency and scalability.
DataRobot facilitates efficient integration with cloud systems and data sources, reducing manual workload, enhancing productivity, and empowering data-driven decision-making. Its strengths lie in automating complex modeling tasks and supporting multiple predictive models effectively. Users emphasize the need for better handling of large datasets, integration with orchestration tools, and more flexibility for custom code integration and advanced model tuning. They also seek improved support response times, transparent model processing, real-world documentation, and enhanced capabilities in generative AI and accuracy metrics.
What are the key features of DataRobot?DataRobot is adopted across industries like healthcare and education for creating and monitoring machine learning models. It accelerates development with GUI capabilities, aids data cleaning, and optimizes feature engineering and deployment. Organizations can predict behaviors, automate tasks, manage production models, and integrate into data science processes to improve data processing and maximize efficiency.
SAP Business Data Cloud (SAP BDC) is a unified, intelligent data platform — part of the SAP Business AI Platform — that governs SAP and third-party data through a business data fabric. As an evolution of our industry-leading data, analytics and planning solutions, Business Data Cloud brings together Datasphere, Analytics Cloud, and Business Warehouse with a unified experience that delivers transformational insights across all lines of business. By harmonizing mission-critical data with the business processes and logic that give it meaning, SAP BDC delivers a trusted foundation for analytics and AI, empowering data teams and business leaders to make faster, more confident decisions.
What are the most important features of SAP Business Data Cloud?
What benefits or ROI should users look for in SAP Business Data Cloud?
SAP Business Data Cloud is a key component of SAP's vision for the autonomous enterprise. By unifying data connectivity, governance, semantic modeling, and analytics in a single cloud-native platform, SAP BDC eliminates fragmentation and complexity — serving as the connective tissue that ties your entire enterprise together and positioning organizations for long-term success in an AI-driven world.
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