

In the analytics software category, Snowflake Analytics and SAP Business Data Cloud are competitors. Snowflake often emerges superior due to its flexibility and cost-effective architecture, particularly in environments requiring multi-cloud integrations, while SAP Business Data Cloud is optimal for users tightly integrated into the SAP ecosystem.
Features: Snowflake Analytics provides a true SaaS platform with seamless deployment, utilizing multiple cloud infrastructures such as AWS, Azure, and Google Cloud, and offers a flexible, cost-effective separation of storage and computation. It stands out with high scalability and data-sharing capabilities that allow data integration without complex data pipelines. SAP Business Data Cloud excels in integrated analytics with native connections to SAP systems, offering comprehensive planning and predictive analytics capabilities and delivering rich visualizations and insights, especially valuable for enterprises using other SAP products. It supports strong data governance and AI-driven analytics within a fully integrated ecosystem.
Room for Improvement: Snowflake requires enhancements in AI and machine learning support, which currently lacks the depth seen in competitors like Databricks. Addressing pricing transparency and UI simplification would further benefit users. SAP Business Data Cloud may struggle with processing data from non-SAP sources and could reduce its steep learning curve and pricing complexity. Improvements in integration flexibility and AI capabilities are also desirable.
Ease of Deployment and Customer Service: Snowflake's deployment is straightforward as a flexible cloud solution with effective, responsive customer support. Snowflake users appreciate the streamlined setup and real-time cloud adaptability. Conversely, SAP Business Data Cloud operates across various environments, including hybrid and on-premises systems, thereby potentially complicating deployment. While its customer service is professional, the complexity of support mechanisms warrants streamlining to improve resolution times.
Pricing and ROI: Snowflake's pay-as-you-go pricing model provides flexibility but requires careful resource allocation for cost control and transparency improvements. Despite being considered expensive, its scalable efficiency often justifies the cost for operational gains. SAP Business Data Cloud, perceived as high-priced, often combines licensing with other SAP solutions, leading to potentially high ownership costs. For large enterprises, the extensive integration and enhanced capabilities justify the investment, while smaller organizations might find it less economical.
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.
Snowflake Analytics has positively impacted our organization by saving about eight to ten hours per week, which we can use for advanced analytics and automation tasks.
I would give the technical support for SAP Business Data Cloud a 10 out of 10.
On a scale from 0 to 10, I would rate their support 10 out of 10.
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.
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.
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.
It meets the needs of organizations requiring cloud-native architecture, support for large-scale SAP and non-SAP integrations, elastic compute and storage capabilities, and enterprise-grade governance.
SAP Analytics Cloud can be used by a small company, and it can be used by a large corporate.
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.
It has been reliable for reporting, analytics, and data integration activities.
This really allowed virtual access to data, which means there was no heavy replication of data involved, greatly improving performance.
Snowflake Analytics has been stable and reliable in my experience.
Snowflake Analytics is very stable; I have never experienced any crash downs or server issues.
Snowflake Analytics is stable, scoring around eight point five to nine out of ten.
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.
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.
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.
From a planning license perspective, SAC on that side is very expensive if you need developer features.
SAP Business Data Cloud is at a disadvantage when compared to tools like Talend or Informatica, which are cheaper and more capable.
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.
Previously, we faced issues with slow queries due to traditional systems, but within Snowflake, we can assign separate virtual warehouses for reporting as well as data processing, ensuring that it does not impact tool performance and does not delay reporting to business users.
| Product | Mindshare (%) |
|---|---|
| SAP Business Data Cloud | 3.6% |
| Snowflake Analytics | 3.6% |
| Other | 92.8% |

| Company Size | Count |
|---|---|
| Small Business | 47 |
| Midsize Enterprise | 22 |
| Large Enterprise | 79 |
| Company Size | Count |
|---|---|
| Small Business | 11 |
| Midsize Enterprise | 13 |
| Large Enterprise | 23 |
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.
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.
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