

BigQuery and SAP Business Data Cloud compete in the data analytics domain. BigQuery offers superior scalability and faster data processing, potentially giving it an edge in performance, while SAP Business Data Cloud appeals to enterprise customers with robust integration capabilities.
Features: BigQuery provides rapid query processing, real-time analytics, and dynamic scalability ideal for large datasets. SAP Business Data Cloud highlights integration with other SAP products, comprehensive data management solutions, and advanced analytics capabilities.
Ease of Deployment and Customer Service: BigQuery offers a straightforward deployment model with minimal setup time and readily available customer support. SAP Business Data Cloud may require more complex deployment but provides customized support aligning with enterprise needs.
Pricing and ROI: BigQuery uses a pay-as-you-go pricing structure, leading to potential cost savings and substantial ROI due to efficient performance. SAP Business Data Cloud typically involves higher setup costs but offers extensive features and integration, leading to significant long-term ROI for businesses invested in SAP's ecosystem.
rating the customer support at ten points out of ten
I have been self-taught and I have been able to handle all my problems alone.
I would rate their customer service pretty good on a scale of one to 10, as they gave me access to the platform on a grant.
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.
It is a 10 out of 10 in terms of scalability.
We have not seen problems with scaling.
The scalability is definitely good because we are migrating to the cloud since the computers on the premises or the big database we need are no longer enough.
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.
In the past one and a half years that I have been running with BigQuery, I have not needed to raise any technical support with BigQuery or with Google.
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.
Troubleshooting requires opening each pipeline individually, which is time-consuming.
In general, if I know SQL and start playing around, it will start making sense.
BigQuery is already integrating Gemini AI into the data extraction process directly in order to reduce costs.
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.
Being able to optimize the queries to data is critical. Otherwise, you could spend a fortune.
The price is perceived as expensive, rated at eight out of ten in terms of costliness.
It is really fast because it can process millions of rows in just a matter of one or two seconds.
BigQuery processes a substantial amount of data, whether in gigabytes or terabytes, swiftly producing desired data within one or two minutes.
The features I find most valuable in this solution are the ability to run and handle large data sets in a very efficient way with multiple types of data, relational as SQL data.
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 | 13 |
| Midsize Enterprise | 9 |
| Large Enterprise | 20 |
| Company Size | Count |
|---|---|
| Small Business | 24 |
| Midsize Enterprise | 13 |
| Large Enterprise | 39 |
BigQuery is an enterprise data warehouse that solves this problem by enabling super-fast SQL queries using the processing power of Google's infrastructure. ... You can control access to both the project and your data based on your business needs, such as giving others the ability to view or query your data.
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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