BigQuery vs SAP NetWeaver Business Warehouse comparison

Google and SAP are both solutions in the Cloud Data Warehouse category. Additionally, 100% of Google users are willing to recommend the solution, compared to 80% of SAP users who would recommend it.

BigQuery

Read 44 BigQuery reviews

5,305 Views
4,403 Comparison Views

100% willing to recommend

SAP NetWeaver Business Ware...

Read 9 SAP NetWeaver Business Warehouse reviews

1,396 Views
1,089 Comparison Views

80% willing to recommend

BigQuery

SAP NetWeaver Business Ware...

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Executive Summary

We performed a comparison between BigQuery and SAP NetWeaver Business Warehouse based on real PeerSpot user reviews.

Find out what your peers are saying about Snowflake Computing, Teradata, Google and others in Cloud Data Warehouse.

To learn more, read our detailed Cloud Data Warehouse Report (Updated: August 2026).

Buyer's Guide

Cloud Data Warehouse

August 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:

Categories and Ranking

BigQuery

Average Rating

8.2

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (3rd)

SAP NetWeaver Business Ware...

Average Rating

7.8

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

Data Warehouse (20th)

Featured Reviews

Mikah Sellers

Principal at Sgt Suds

Has supported detailed policy and education analysis with low-code data exploration

I do not use AWS as my main cloud provider within the company and am not currently using it with AWS. My company did not buy it through the AWS Marketplace as I'm the founder of the company. I do not use BigQuery's integration with Google Analytics for custom behavior analysis. I have not utilized the geospatial analysis capabilities with BigQuery as I'm doing mostly human capital work, so geospatial wouldn't make sense. I would rate their service on a scale of one to 10 for Google as ten. I would rate BigQuery as nine out of 10. My experience with the pricing for BigQuery was through a grant from Google. Their pricing is fairly priced and pretty comparable to Microsoft's offering. I haven't had direct experience, but I did look at the pricing of the Microsoft offering and it's pretty similar. I do not deal with Google AI tools such as Vertex.

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AnilKumar38

Project Manager - Analytics at Mindsprint

Can transform data per clients' needs and can easily distribute reports to end users

I would recommend looking at all of the solutions currently available and then decide. I would not immediately suggest going for SAP NetWeaver. Being able to transform the data according to my requirements is a crucial feature; the phasing layers are helpful to distinguish data with respect to a specific project; analytics and reporting are very feasible; and the distribution of reports to the end users is also very easy. However, connectors need to be simplified, and technical support needs to be improved. Thus, on a scale from one to ten, I would rate SAP NetWeaver Business Warehouse at eight.

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Quotes from Members

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

Pros

"Using BigQuery has positively impacted our organization by really increasing our ability to query the data efficiently."

"The features I have found most valuable in BigQuery include the query cache, which is good and scales well; it handles huge amounts of data quite well, and the multi-regions feature works well."

"BigQuery's querying capabilities are very optimized for large datasets."

"The main thing I like about BigQuery is storage. We did an on-premise BigQuery migration with trillions of records. Usually, we have to deal with insufficient storage on-premises, but in BigQuery, we don't get that because it's like cloud storage, and we can have any number of records. That is one advantage. The next major advantage is the column length. We have some limits on column length on-premises, like 10,000, and we have to design it based on that. However, with BigQuery, we don't need to design the column length at all. It will expand or shrink based on the records it's getting. I can give you a real-life example based on our migration from on-premises to GCP. There was a dimension table with a general number of records, and when we queried that on-premises, like in Apache Spark or Teradata, it took around half an hour to get those records. In BigQuery, it was instant. As it's very fast, you can get it in two or three minutes. That was very helpful for our engineers. Usually, we have to run a query on-premises and go for a break while waiting for that query to give us the results. It's not the case with BigQuery because it instantly provides results when we run it. So, that makes the work fast, it helps a lot, and it helps save a lot of time. It also has a reasonable performance rate and smart tuning. Suppose we need to perform some joins, BigQuery has a smart tuning option, and it'll tune itself and tell us the best way a query can be done in the backend. To be frank, the performance, reliability, and everything else have improved, even the downtime. Usually, on-premise servers have some downtime, but as BigQuery is multiregional, we have storage in three different locations. So, downtime is also not getting impacted. For example, if the Atlantic ocean location has some downtime, or the server is down, we can use data that is stored in Africa or somewhere else. We have three or four storage locations, and that's the main advantage."

"Even non-coders can review the data in BigQuery."

"It's a stable, reliable solution."

"One of the most significant advantages lies in the decoupling of storage and compute which allows to independently scale storage and compute resources, with the added benefit of extremely cost-effective storage akin to object storage solutions."

"BigQuery excels at structuring data, performing predictions, and conducting insightful analyses and it leverages machine learning and artificial intelligence capabilities, powered by Google's Duarte AI."

More BigQuery pros

"A robust and efficient product."

"With SAP BW, the organization can start to deploy a data warehouse and deliver data to business people."

"It is a robust system."

"Data modeling is a valuable feature."

"Prior to implementing SAP, I used some local ERPs but finally, I found this to be the most powerful platform."

"This is a very robust and efficient product, and it's very powerful, in particular when it comes to data management in the SAP system."

"Queries based on the Data warehouse have enabled the Service department of the organization analyze data deeply and get insights into daily inflow and revenue as well as analyze data over time periods, various models, model years, by customer segment, etc."

"We are an airline and use the system for data modeling and data warehousing, and we implement it for time performance and feedback analysis."

More SAP NetWeaver Business Warehouse pros

Cons

"BigQuery can be very expensive if not used properly. Introducing AI tools that would allow you to optimize the data extraction process is an area of serious improvement."

"The initial setup could be improved making it easier to deploy."

"We would like to be able to calibrate the solution to run on top of a raw file."

"The solution should reduce its pricing."

"Sometimes, support specialists might not have enough experience or business understanding, which can be an issue."

"An area for improvement in BigQuery is its UI because it's not working very well. Pricing for the solution is also very high."

"We'd like to see more local data residency."

"The price is a bit high but the technology is worth it."

More BigQuery cons

"There are performance issues in terms of scalability and availability."

"The program is difficult to learn to use"

"It is difficult when your native language is not English. It is difficult for us to explain our issue and also difficult for the technical team to explain a resolution to us."

"The product could provide more features."

"People using SAP BW have to undergo some training to be able to use the product. Complexity can be reduced and could be made a bit more user-friendly."

"I think more integration with other applications would be perfect."

"The solution could be improved by simplifying the modeling and the design. We're faced with too many options and too many object types."

"The complexity of this data warehouse application is huge and makes it tough to manage and deploy it. In general, it requires a lot of know-how and time which makes it expensive to deliver fast answers."

More SAP NetWeaver Business Warehouse cons

Pricing and Cost Advice

"The pricing is good and there are no additional costs involved."

"The platform is inexpensive."

"Its cost structure operates on a pay-as-you-go model."

"1 TB is free of cost monthly. If you use more than 1 TB a month, then you need to pay 5 dollars extra for each TB."

"The price could be better. Usually, you need to buy the license for a year. Whenever you want more, you can subscribe to it, and you can use it. Otherwise, you can terminate the license. You can use it daily or monthly, and we use it based on a project's requirements."

"The product’s pricing could be more flexible for end users."

"The pricing appears to be competitive for the intended usage scenarios we have in mind."

"The pricing is adaptable, ensuring that organizations can tailor their usage and costs based on their specific requirements and configurations within the Google Cloud Platform."

More BigQuery pricing and cost advice

"Pricing is based on the number of user IDs and tyhe user ID works across a suite of products."

"The licensing cost is high for SAP NetWeaver compared to that for other products."

"All SAP products are expensive."

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Top Industries

By visitors reading reviews

Financial Services Firm

16%

Outsourcing Company

11%

Media Company

10%

Manufacturing Company

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	15
Midsize Enterprise	10
Large Enterprise	19

By reviewers
Company Size	Count
Small Business	3
Large Enterprise	7

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 ...

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What needs improvement with BigQuery?

The queries that BigQuery provides are not optimized at a greater level. For simple tasks it is good, but if I want to write complex analyzing queries, it doesn't give the queries up to the mark, s...

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What is your primary use case for BigQuery?

My main use case for BigQuery is the analysis of our data, creating dashboards from large datasets, and querying the databases that we have, including both structured and unstructured data imported...

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Comparisons

Snowflake vs BigQuery

Compared 10% of the time

Oracle Autonomous Data Warehouse vs BigQuery

Compared 10% of the time

Teradata vs BigQuery

Compared 9% of the time

Snowflake Analytics vs BigQuery

Compared 7% of the time

Databricks vs BigQuery

Compared 6% of the time

More BigQuery Competitors

SAP BW4HANA vs SAP NetWeaver Business Warehouse

Compared 12% of the time

Teradata vs SAP NetWeaver Business Warehouse

Compared 11% of the time

Microsoft Parallel Data Warehouse vs SAP NetWeaver Business Warehouse

Compared 6% of the time

IBM Netezza Performance Server vs SAP NetWeaver Business Warehouse

Compared 6% of the time

Actian Ingres vs SAP NetWeaver Business Warehouse

Compared 6% of the time

More SAP NetWeaver Business Warehouse Competitors

Product Reports

Buyer's Guide

BigQuery

August 2026

Download BigQuery product report

Buyer's Guide

SAP NetWeaver Business Warehouse

July 2026

Download SAP NetWeaver Business Warehouse product report

Also Known As

NetWeaver Business Warehouse, NetWeaver BusinessObjects Warehouse

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 NetWeaver Business Warehouse is a comprehensive data warehousing solution offering extensive data modeling and integrated BI tools. It provides SAP ERP connectors, ETL features, and tools for robust reporting. Users appreciate its security, data harmonization, and centralization of information.

SAP NetWeaver Business Warehouse features predefined content for easy setup and extensive BI tools for powerful reporting. It facilitates data cleansings and harmonization. Users find the platform's automation of data loads and cell calculations efficient, supporting time-changing dimensions and complex logic in MIS report generation. While it excels in data analysis and reporting across industries, the complexity in deployment and user interface suggests room for improvement in user-friendliness and integration capabilities across applications, including mobile devices. Multilingual support can enhance user experience, while connectors and reporting tools can be simplified for better usability.

What are the key features of SAP NetWeaver Business Warehouse?

Predefined Content: Facilitates easy initiation as a data warehouse
SAP ERP Connectors: Standard connectors for seamless integration
Integrated BI Tools: Powerful tools for robust reporting and analysis
Data Modeling & ETL: Extensive features for data structuring and transformation
Automation: Efficient data loads and cell calculation processes

What benefits should you consider in reviews?

Data Security: Robust procedures ensuring data protection
Centralized Information: Harmonized data centralization for ease of access
Comprehensive Reporting: Advanced tools to generate complex reports
Efficient Performance: Automation and transformation capabilities improving productivity

In the automotive industry, dealers apply SAP NetWeaver Business Warehouse for MIS report generation, while FMCG firms use it for data modeling. Business intelligence teams across HR, finance, and service sectors leverage its analytical capabilities. Airline companies utilize its tools for performance metrics and customer analytics, enabling enhanced data visualization across regions.

SAP

Sample Customers

Information Not Available

EMC Corporation, Takisada-Osaka Co. Ltd., Eldorado, Mozzart, The VELUX Group, AOK Bundesverband, Hilti Group, Nissha Printing Company Ltd., Asian Paints, Aareal Bank Group, Magazine zum Globus (Migros Group)

Find out what your peers are saying about Snowflake Computing, Teradata, Google and others in Cloud Data Warehouse. Updated: August 2026.

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