BigQuery vs SAP Business Data Cloud comparison

Google and SAP are both solutions in the Cloud Data Warehouse category. Google is ranked #3 with an average rating of 8.4, while SAP is ranked #12 with an average rating of 8.1. Additionally, 100% of Google users are willing to recommend the solution, compared to 90% of SAP users who would recommend it.

BigQuery

Read 43 BigQuery reviews

3,546 Views
2,872 Comparison Views

100% willing to recommend

SAP Business Data Cloud

Read 84 SAP Business Data Cloud reviews

9,685 Views
484 Comparison Views

90% willing to recommend

BigQuery

SAP Business Data Cloud

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Executive SummaryUpdated on Apr 15, 2026

BigQuery and SAP Business Data Cloud are key players in the data management sector. User preference typically leans towards BigQuery, notably due to its cost-effectiveness and efficient workload management.

Features: BigQuery is recognized for its scalable serverless architecture, efficient handling of large datasets, and on-demand pricing model that suits dynamic workloads. Its robust data analysis capabilities are a highlight, although it faces challenges with integration due to Google's security model. On the other hand, SAP Business Data Cloud specializes in advanced analytics and planning features, seamlessly integrating with SAP tools, making it highly suitable for businesses operating within SAP ecosystems. The solution is designed to support complex business intelligence tasks effectively.

Room for Improvement: BigQuery users point out the high cost and complexity associated with migration, particularly when managing large data volumes. They also seek improved integration with non-Google systems and better performance. SAP Business Data Cloud, while strong in integration with SAP products, needs enhancements in machine learning capabilities, improved documentation, and a more aggressive pricing model. Users also desire better visualization tools and integration with non-SAP systems.

Ease of Deployment and Customer Service: BigQuery's deployment is primarily on the public cloud, offering strong support and comprehensive documentation. However, users report occasional delays in support. In contrast, SAP Business Data Cloud offers flexibility across cloud and on-premises deployment, benefiting from SAP ecosystem familiarity, but its customer service is often considered less responsive and more costly.

Pricing and ROI: BigQuery operates on a pay-as-you-go model, delivering low storage costs but potentially high expenses if usage isn't optimized, offering high ROI when shifting from manual handling. SAP Business Data Cloud tends to be more expensive, especially with advanced functionalities, impacting cost but providing value through integration within SAP's suite, offering specific advantages for enterprises already invested in SAP solutions.

To learn more, read our detailed BigQuery vs. SAP Business Data Cloud Report (Updated: April 2026).

Buyer's Guide

BigQuery vs. SAP Business Data Cloud

April 2026

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

ROI

Sentiment score

4.9

BigQuery offers improved performance, cost savings, and intuitive features, with some users reporting up to 75% cost reductions.

Sentiment score

5.9

SAP Business Data Cloud improves ROI by enhancing analytics, streamlining processes, and reducing costs, benefiting financial performance and management.

No quotes available

For more quotes and insights, download the BigQuery report

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.

reviewer2827314

Principal Architect at a tech consulting company with 501-1,000 employees

The positive impact I see from the product is that it saves me time, approximately 10 to 20%, not more than that.

Nitesh Agrawal

Director & Co Owner at INFRABEAT TECHNOLOGIES PVT LTD

For more quotes and insights, download the SAP Business Data Cloud report

Customer Service

Sentiment score

7.2

Customers find Google BigQuery support effective but sometimes limited, relying on documentation, forums, and expert assistance for issues.

Sentiment score

6.0

SAP Business Data Cloud's customer service is mixed, with users noting variable response times and technical expertise.

rating the customer support at ten points out of ten

Jitesh Rathod

Sr. Team Lead - IT at InfoStretch

I have been self-taught and I have been able to handle all my problems alone.

Luís Silva

Chief Technical Lead at a consultancy with 201-500 employees

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.

Mikah Sellers

Principal at Sgt Suds

For more quotes and insights, download the BigQuery report

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.

Pavlina Pankova

Competence Leader - BI at Sabris CZ s.r.o.

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.

Bhupesh Akkineni

Project Manager at a tech services company with 51-200 employees

I am satisfied with SAP's technical support team; they provide very good support.

Mostafa Ali

BI Lead Consultant at Intercom Enterprises

For more quotes and insights, download the SAP Business Data Cloud report

Scalability Issues

Sentiment score

7.8

BigQuery offers excellent scalability and efficiency, supporting vast data seamlessly, though cost and integration challenges may arise.

Sentiment score

7.1

SAP Business Data Cloud offers scalability for diverse users, supporting long-term growth with a roadmap extending to 2040.

It is a 10 out of 10 in terms of scalability.

Luís Silva

Chief Technical Lead at a consultancy with 201-500 employees

We have not seen problems with scaling.

reviewer2807520

Director at a consultancy with 11-50 employees

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.

reviewer2641596

Expert Analyst at a healthcare company with 5,001-10,000 employees

For more quotes and insights, download the BigQuery report

SAP Analytics Cloud can be used by a small company, and it can be used by a large corporate.

Pavlina Pankova

Competence Leader - BI at Sabris CZ s.r.o.

Since SAP has consolidated everything on one platform, there is ample room to expand as much as needed.

Muhammad Ashar

Sap Data & Analytics Consultant at Dezert Innovation Technology Company

I would rate its scalability up to nine on a scale of one to ten.

Bhupesh Akkineni

Project Manager at a tech services company with 51-200 employees

For more quotes and insights, download the SAP Business Data Cloud report

Stability Issues

Sentiment score

8.3

BigQuery is stable and reliable, with efficient data handling, few bugs, and strong support, despite occasional slow queries.

Sentiment score

7.5

SAP Business Data Cloud is rated stable and reliable, but some users note connectivity and performance issues under load.

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.

reviewer2807520

Director at a consultancy with 11-50 employees

For more quotes and insights, download the BigQuery report

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.

Pavlina Pankova

Competence Leader - BI at Sabris CZ s.r.o.

Other than during these quarterly release periods, the availability is excellent.

Muhammad Ashar

Sap Data & Analytics Consultant at Dezert Innovation Technology Company

SAP Analytics Hub's analytics solutions are also pretty stable now.

Nitesh Agrawal

Director & Co Owner at INFRABEAT TECHNOLOGIES PVT LTD

For more quotes and insights, download the SAP Business Data Cloud report

Room For Improvement

BigQuery struggles with cost, accessibility, scalability, and lacks data residency, needing better integration, performance, and machine learning features.

SAP Business Data Cloud needs better integration, visualization, analytics tools, and pricing to enhance connectivity and address current limitations.

Troubleshooting requires opening each pipeline individually, which is time-consuming.

Jitesh Rathod

Sr. Team Lead - IT at InfoStretch

In general, if I know SQL and start playing around, it will start making sense.

reviewer2641596

Expert Analyst at a healthcare company with 5,001-10,000 employees

BigQuery is already integrating Gemini AI into the data extraction process directly in order to reduce costs.

Luís Silva

Chief Technical Lead at a consultancy with 201-500 employees

For more quotes and insights, download the BigQuery report

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.

Pavlina Pankova

Competence Leader - BI at Sabris CZ s.r.o.

If SAP can come up with innovative options to reduce licensing costs, many customers would incline toward SAP Business Data Cloud.

reviewer2827314

Principal Architect at a tech consulting company with 501-1,000 employees

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.

reviewer2827473

Infrastructure Specialist at a tech vendor with 10,001+ employees

For more quotes and insights, download the SAP Business Data Cloud report

Setup Cost

BigQuery uses a pay-as-you-go model, balancing affordability with strategic expense management for data storage and query execution.

SAP Business Data Cloud offers robust features with variable pricing, perceived as high yet competitive within the ecosystem.

Being able to optimize the queries to data is critical. Otherwise, you could spend a fortune.

Luís Silva

Chief Technical Lead at a consultancy with 201-500 employees

The price is perceived as expensive, rated at eight out of ten in terms of costliness.

Jitesh Rathod

Sr. Team Lead - IT at InfoStretch

For more quotes and insights, download the BigQuery report

Frankly, pricing, setup cost, and licensing seem a bit high compared to other hyperscalers.

reviewer2827314

Principal Architect at a tech consulting company with 501-1,000 employees

For more quotes and insights, download the SAP Business Data Cloud report

Valuable Features

BigQuery provides scalable, serverless data processing with fast query capabilities, seamless GCP integration, SQL support, and competitive pricing.

SAP Business Data Cloud boosts efficiency and revenue with customizable features, AI integration, seamless connectivity, and insightful dashboards.

It is really fast because it can process millions of rows in just a matter of one or two seconds.

reviewer2641596

Expert Analyst at a healthcare company with 5,001-10,000 employees

BigQuery processes a substantial amount of data, whether in gigabytes or terabytes, swiftly producing desired data within one or two minutes.

Jitesh Rathod

Sr. Team Lead - IT at InfoStretch

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.

Luís Silva

Chief Technical Lead at a consultancy with 201-500 employees

For more quotes and insights, download the BigQuery report

For SuccessFactors and S/4HANA Cloud, there are pre-built reports available which are commonly used by customers.

Bhupesh Akkineni

Project Manager at a tech services company with 51-200 employees

SAP Business Data Cloud has positively impacted my organization by federating SAP data, which is now available for all to use.

Ninad Mehta

Associate director, SAP technical at a outsourcing company with 1,001-5,000 employees

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.

reviewer2827314

Principal Architect at a tech consulting company with 501-1,000 employees

For more quotes and insights, download the SAP Business Data Cloud report

Categories and Ranking

BigQuery

Ranking in Cloud Data Warehouse

3rd

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

No ranking in other categories

SAP Business Data Cloud

Ranking in Cloud Data Warehouse

12th

Average Rating

8.0

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

Data Integration (14th), BI (Business Intelligence) Tools (3rd), Business Performance Management (3rd), Cloud Analytics (2nd), Predictive Analytics (2nd), Data Governance (11th)

Featured Reviews

Luís Silva

Chief Technical Lead at a consultancy with 201-500 employees

Handles large data sets efficiently and offers flexible data management capabilities

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. It is kind of difficult to explain, but structured data and the ability to handle large data sets are key features. The data integration capabilities in BigQuery were, in fact, an issue at the beginning. There are two types of integrations. As long as integration is within Google, it is pretty simple. When you start to try to connect external clients to that data, it becomes more complex. It is not related to BigQuery, it is related to Google security model, which is not easy to manage. I would not call it an integration issue of BigQuery, I would call it an integration issue of Google security model.

Read full review

Pavlina Pankova

Competence Leader - BI at Sabris CZ s.r.o.

Brings reporting, planning, and prediction together in one seamless workflow

I think the areas of SAP Analytics Cloud that could be improved or enhanced are mentioned by users or companies, and they would definitely mention the price in terms of planning licensing. From a consulting point of view, I don't see any major weaknesses. It is reasonably well-developed, and the perfect strength is that innovations are coming on a quarterly basis. It is slightly behind other tools in terms of the number of graphical outputs. Some tools have it faster, but every increment of innovations contains new features. 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, for example, integrated business planning for the production planning. This is really a highlight compared to other tools.

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Top Industries

By visitors reading reviews

Financial Services Firm

17%

Manufacturing Company

10%

Computer Software Company

Media Company

Manufacturing Company

16%

Financial Services Firm

Construction Company

Retailer

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	13
Midsize Enterprise	9
Large Enterprise	20

By reviewers
Company Size	Count
Small Business	27
Midsize Enterprise	17
Large Enterprise	44

Questions from the Community

What is your experience regarding pricing and costs for BigQuery?

I believe the cost of BigQuery is competitive versus the alternatives in the market, but it can become expensive if the tool is not used properly. It is on a per-consumption basis, the billing, so ...

See all answers

What needs improvement with BigQuery?

With what I have seen in BigQuery, I had some response times problems, but then it is an analytical database and not a transactional database, so it comes with eventual consistency. I cannot have e...

See all answers

What is your primary use case for BigQuery?

We are mostly dealing with Google solutions such as BigQuery, NoSQL, SQL analytical database, secrets manager, and most of the serverless infrastructure as well, databases. I run SQL queries on Big...

See all answers

Which would you choose - Tableau or SAP Analytics Cloud?

Tableau is easy to set up and maintain. In about a day it is possible for the entire platform to be deployed for use. This relatively short amount of time can make all the difference for companies ...

See all answers

What do you like most about SAP Analytics Cloud?

In the data warehouse, you're free to make changes. You can make everything text, meaning it's always a string. Even numbers appear as text, giving you the flexibility to work with all columns.

See all answers

What is your experience regarding pricing and costs for SAP Analytics Cloud?

I normally do not deal with the commercials, so I am not aware of the pricing part of it.

See all answers

Comparisons

Oracle Autonomous Data Warehouse vs BigQuery

Compared 14% of the time

Snowflake vs BigQuery

Compared 10% of the time

Teradata vs BigQuery

Compared 10% of the time

OpenText Analytics Database (Vertica) vs BigQuery

Compared 7% of the time

Snowflake Analytics vs BigQuery

Compared 6% of the time

More BigQuery Competitors

SAP BusinessObjects Business Intelligence vs SAP Business Data Cloud

Compared 19% of the time

Tableau Enterprise vs SAP Business Data Cloud

Compared 5% of the time

Microsoft Power BI vs SAP Business Data Cloud

Compared 5% of the time

Anaplan vs SAP Business Data Cloud

Compared 4% of the time

IBM Planning Analytics vs SAP Business Data Cloud

Compared 3% of the time

More SAP Business Data Cloud Competitors

Product Reports

Buyer's Guide

BigQuery

April 2026

Download BigQuery product report

Buyer's Guide

SAP Business Data Cloud

April 2026

Download SAP Business Data Cloud product report

Also Known As

SAP Analytics Cloud, SAP Digital Boardroom, SAP Analytics Hub

Overview

BigQuery is a powerful cloud-based data warehouse offering advanced SQL querying, seamless Google integration, and scalable handling of large datasets. Its serverless architecture and built-in AI capabilities facilitate efficient data processing and insights extraction.

BigQuery provides an efficient data analysis platform with low-latency performance and cost-effective on-demand pricing. Leveraging Google's cloud infrastructure for data storage, it offers robust security and high availability. While it excels in SQL support and caching features, it can improve on user accessibility, integration with diverse tools, and machine learning feature expansion. Making it more accessible for smaller entities through improved cost management and local data compliance is essential. Enhancements in query speed and intuitive interfaces can further optimize performance.

What features are offered by BigQuery?

User-friendly interface: Simplifies data interaction, making complex processes more manageable.
Serverless architecture: Eliminates the need for infrastructure management, improving scalability and efficiency.
Advanced SQL querying: Enables complex data retrieval and manipulation with ease.
Machine learning integration: Facilitates AI-driven insights directly from the platform.
Cost-effective pricing: On-demand pricing helps manage expenses by paying only for used resources.
Seamless Google integration: Works well with familiar Google services for a cohesive experience.
High availability and robust security: Ensures data is secure and accessible when needed.

What benefits should be considered when evaluating BigQuery?

Efficient data processing: Quickly handles large datasets, supporting fast data-driven decision-making.
Scalable infrastructure: Grows capacity alongside business needs without manual infrastructure adjustments.
Enhanced data analysis: SQL support and caching features improve analysis precision and speed.
AI and machine learning capabilities: Enable advanced data insights and predictive analytics.
Integration with existing tools: Ensures smooth workflow transitions with services such as Google Analytics and Tableau.

In industries like healthcare, finance, and marketing, BigQuery is extensively used for data storage, generating reports, and supporting ETL processes. Educational institutions leverage it for analytics, aligning seamlessly with Google Cloud for serverless infrastructure efficiencies.

Google

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?

Cloud-Based Predictive Analysis: Offers advanced forecasting and trend prediction capabilities.
Robust Visualization: Enables dynamic and interactive data visualization tools.
Integrated Planning: Provides tools for strategic planning and collaboration.
Flexibility with TypeScript: Allows customization and tailored application design.
Seamless Integration: Easily integrates with other SAP products and additional data sources.
AI and Machine Learning: Enhances analytics and reporting efficiency.

What benefits or ROI should users look for in SAP Business Data Cloud?

User-Friendly Interface: Simplifies data integration and application design.
Comprehensive Business Intelligence: Supports strategic decision-making processes.
Real-Time Analytics: Provides timely insights and enhances planning processes.
Collaborative Planning: Facilitates teamwork and strategic alignment.
Cost-Effective Solution: Offers value through efficient and diverse capabilities.

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.

SAP

Sample Customers

Information Not Available

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Buyer's Guide

BigQuery vs. SAP Business Data Cloud

April 2026

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