

Snowflake Analytics and SAP Business Data Cloud compete in the field of data analytics solutions. Snowflake appears to have the upper hand due to its flexibility, cost-effective scalability, and integration across cloud platforms.
Features: Snowflake's notable features include time travel, zero-copy cloning, and seamless integration with multiple cloud platforms. Its scalable architecture offers decoupled compute and storage, optimizing costs effectively. SAP Business Data Cloud focuses on BI and predictive analytics with strong SAP ecosystem integration, providing planning tools and AI features for a comprehensive solution.
Room for Improvement: Snowflake could improve its machine learning integration and enhance UI visualization features. Users also suggest better integration with third-party platforms and direct cloud communication. SAP Business Data Cloud needs better third-party integration and enhanced connectivity to legacy systems, along with improved visualizations and more competitive pricing for advanced functionalities.
Ease of Deployment and Customer Service: Snowflake operates efficiently in both public and private clouds, offering excellent technical support and deployment ease. SAP Business Data Cloud provides hybrid and on-premises deployment options, excelling in SAP integration but demands improvement in support responsiveness and technical assistance.
Pricing and ROI: Snowflake's usage-based pricing can escalate with high computation but is managed by its cost-effective compute-storage model, improving ROI by lowering operational expenses. SAP Business Data Cloud is relatively premium-priced but justifies this with seamless SAP integration and extensive features. However, pricing can be restrictive for advanced features, making Snowflake a more competitive option in cost management.
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.
There is a return on investment with SAP Business Data Cloud, as it saves money because it performs results quickly and easily, facilitating integrations and speeding up operations compared to other analytics tools, thereby saving time and money.
The positive impact I see from the product is that it saves me time, approximately 10 to 20%, not more than that.
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.
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.
The Snowflake Analytics documentation is excellent.
Recently we had a two-day session where the Snowflake Analytics team provided a demo on Cortex AI and its features.
The technical support for Snowflake Analytics is excellent based on what I have heard from others.
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.
I would rate its scalability up to nine on a scale of one to ten.
Storage is unlimited because they use S3 if it is AWS, so storage has no limit.
It supports both horizontal and vertical scaling effectively.
Maintaining security and data governance becomes easier with an entire data lake in place, and the scalability improves performance.
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.
Other than during these quarterly release periods, the availability is excellent.
In a typical quarter, the availability has been over 99%; in a few cases, it dropped to around 98.5%.
Snowflake Analytics has been stable and reliable in my experience.
Snowflake Analytics is stable, scoring around eight point five to nine out of ten.
The Power BI team raised tickets for both Power BI and Snowflake Analytics, and their responses were very good.
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.
With theory alone, I am learning only basics, but with technical components, the content is more detailed and allows me to understand and implement what I have learned.
AIML-based SQL prompt and query generation could be an area for enhancement.
If it offered flexibility similar to Oracle and supported more heterogeneous data sources and database connectivity, it would be even better.
I would prefer Snowflake Analytics to improve their support response times, as sometimes the responses we receive are not very prompt and ticket assignments may not be timely.
Frankly, pricing, setup cost, and licensing seem a bit high compared to other hyperscalers.
Snowflake charges per query, which amounts to a very minor cost, such as $0.015 per query.
Snowflake is better and cheaper than Redshift and other cloud warehousing systems.
Snowflake Analytics is quite economical.
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.
Running a considerable query on Microsoft SQL Server may take up to thirty minutes or an hour, while Snowflake executes the same query in less than three minutes.
Snowflake Analytics supports data security with a single sign-on feature and complies with framework regulations, which is highly beneficial.
It is a data offering where I can see data lineage, data governance, and data security.

| Company Size | Count |
|---|---|
| Small Business | 27 |
| Midsize Enterprise | 18 |
| Large Enterprise | 45 |
| Company Size | Count |
|---|---|
| Small Business | 11 |
| Midsize Enterprise | 13 |
| Large Enterprise | 21 |
SAP Business Data Cloud provides cloud-based predictive analysis, robust visualization, and integrated planning capabilities with seamless SAP integration. It enhances analytics and reporting efficiency with machine learning and AI features.
SAP Business Data Cloud stands out with its user-friendly application design, leveraging TypeScript scripting for flexibility. It enables easy data integration, customizable dashboards, and collaborative planning. Renowned for its seamless connectivity and comprehensive business intelligence offerings, it is designed to support real-time analytics and planning across both on-prem and cloud environments. Improvements are anticipated in visualization features, connectivity, and third-party system integration, with calls for more customizable chart options and real-time reporting capabilities.
What are the most important features of SAP Business Data Cloud?SAP Business Data Cloud serves industries by powering cloud-based reporting, analytics, financial planning, and executive dashboards. Companies utilize it to integrate SAP and non-SAP data sources for insights and forecasts. It is applied in constructing dashboards, boardroom presentations, budgeting, and predictive analytics, supporting versatile use cases across multiple sectors.
Snowflake Analytics offers advanced capabilities in data warehousing and cloud data migration, with support for machine learning and business intelligence tasks. Its scalable architecture supports large data volumes while enhancing cost efficiency through decoupled computation and storage.
As a flexible, managed environment, Snowflake Analytics enhances data sharing and integration across multiple cloud platforms. It allows seamless data pipeline creation, supports advanced analytics, and facilitates reporting and visualization. Despite facing integration challenges with legacy systems and complex queries, Snowflake's continuous improvements aim to address these issues, making it a reliable choice for organizations transitioning to the cloud.
What features define Snowflake Analytics?Enterprises across industries utilize Snowflake Analytics for its robust data handling and cloud integration capabilities. It serves sectors in need of efficient data warehousing, real-time analytics, and machine learning support, making it suitable for cloud migration and enhancing business intelligence operations.
We monitor all Cloud Data Warehouse reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.