SAP NetWeaver Business Warehouse vs Snowflake Analytics comparison

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

SAP NetWeaver Business Ware...

Read 9 SAP NetWeaver Business Warehouse reviews

1,396 Views
1,089 Comparison Views

80% willing to recommend

Snowflake Analytics

Read 44 Snowflake Analytics reviews

3,188 Views
1,403 Comparison Views

100% willing to recommend

SAP NetWeaver Business Ware...

Snowflake Analytics

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Executive Summary

We performed a comparison between SAP NetWeaver Business Warehouse and Snowflake Analytics 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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Helped 909,725 peers since 2012

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

SAP NetWeaver Business Ware...

Average Rating

7.8

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

Data Warehouse (20th)

Snowflake Analytics

Average Rating

8.4

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Web Analytics (2nd), Cloud Data Warehouse (12th)

Featured Reviews

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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Garima Goel

Associate Principal Engineer at Nagarro

Have created secure cloud-based data lakes and improved real-time data processing using integrated AI features

There are many capabilities which Snowflake Analytics offers that I find valuable, such as the storage and compute engine that allows working with any cloud system such as AWS or Azure, alongside its efficiencies in storage computation and cost-effectiveness, which saves money compared to on-premise systems. We also have features such as pre-cached results, Time Travel, and fail-safe, which are very useful for restoring data if deleted accidentally, and the streams and data pipes that facilitate real-time ingestion are great features as well. Snowflake Analytics offers multiple new connectors, allowing me to connect it with Kafka, and with Snowpark, I can work with any programming language such as Python, Java, or Scala for data processing and analysis. The data sharing feature offered by Snowflake Analytics is good because it allows sharing specific sets of data to end customers or users from different Snowflake Analytics accounts without exposing the entire dataset for data security reasons. Snowflake Analytics' support for machine learning models and real-time insights has enhanced significantly. Originally, it wasn't strong in AI/ML, but now it has multiple models and forecasting capabilities, providing good competition to tools such as Databricks and Spark. In BI, I have worked majorly with Microsoft Power BI, and the integration with Snowflake Analytics is very easy. The way we integrate Snowflake Analytics with other on-premise systems just requires the warehouse details, username, passwords, and the account name, along with multiple options such as client ID and credentials for logging in and creating a session. The end-to-end encryption provided by Snowflake Analytics is very important because, in my previous firm, working in finance and investment management, data encryption is necessary due to the sensitive nature of customer data and the involvement of people's money. It's crucial to have encryption in transit and at rest, along with data masking features which Snowflake Analytics offers.

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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

"It's an excellent over-all tool for managers to analyze their business."

"Data cleansed and harmonization. It provides us with proof of data, we can centralize all of the information, check it, and then provide the information to our users."

"A robust and efficient product."

"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."

"The security and audit procedures are the most valuable features."

"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."

"It is a robust system."

More SAP NetWeaver Business Warehouse pros

"Snowflake Analytics has a bright future and is capturing the market across various domains such as life sciences, BFSI, and supply chain."

"Its structure aids in storing, managing, and analyzing large datasets in the cloud, using various relationships like one-to-one and many-to-one, ensuring consistency in the data structure."

"Snowflake Analytics' predictive analytics elements, which incorporate AI, are good and easy to integrate."

"Considering everything I have accessed, the product's dashboard is good since it provides multiple good options, including customization options."

"Time Travel and Snowpipe are good features."

"The most valuable feature of Snowflake Analytics is its performance."

"The solution is completely managed and that's fantastic."

"The latest interface of Snowsight UI has added good capabilities and the interface is excellent."

More Snowflake Analytics pros

Cons

"The program is difficult to learn to use"

"The setup needs skilled resources in SAP BW. A lack of trained resources can create serious problems."

"Design and modeling could be simplified."

"Connectors are complex, and it is difficult to understand or know which connector should be used. For instance, if I want to connect APIs, I will not be able to do it directly. I would have to go to the portal integration to get the data. Therefore, having simplified connectors will make things much easier."

"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."

"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."

More SAP NetWeaver Business Warehouse cons

"One notable absence in Snowflake's offerings is an on-premises solution."

"End-to-end execution of jobs isn't possible with Snowflake, which means we have to do some customization."

"The solution needs to consider including some updates in the future."

"The scheduling of jobs requires improvement, particularly in terms of the user interface which currently lacks certain features found in comparable platforms."

"In my opinion, Snowflake Analytics can be improved by introducing more features, such as additional integration options."

"The distribution methodology isn't as strong as Bethesda or SAP HANA. It's not as strong as other competitors."

"As of now, I have not seen ROI from Snowflake Analytics."

"One improvement Snowflake Analytics could benefit from is in cost, particularly during peak hours."

More Snowflake Analytics cons

Pricing and Cost Advice

"All SAP products are expensive."

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

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

"The cost of Snowflake Analytics is low, any small organization can use it."

"I rate the product price a seven on a scale of one to ten, where one is low price, and ten is high price."

"When using Snowflake, you pay based on your usage. They calculate how much CPU has been used. If you use excess warehouse storage, you are charged one credit per hour. If you are in Asia, you are charged $3 per credit. If you have 10 users running parallel with the same excess, you will be charged $30."

"It is not overly expensive. I would rate the pricing a six out of ten, with ten being expensive."

"The solution's price is high and I would rate it an eight out of ten."

"The tool is quite expensive."

"I have been using free trial version."

"It's not costly if you configure it properly to ensure optimal performance. People don't configure it properly, which is why costs go up."

More Snowflake Analytics pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Construction Company

17%

Outsourcing Company

10%

Financial Services Firm

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	3
Large Enterprise	7

By reviewers
Company Size	Count
Small Business	11
Midsize Enterprise	13
Large Enterprise	23

Questions from the Community

Ask a question

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What is your experience regarding pricing and costs for Snowflake Analytics?

The pricing for Snowflake Analytics is reasonable, but as I am not part of the management team, I am not certain about our organization's exact costs. Overall, the return on investment for this too...

See all answers

What needs improvement with Snowflake Analytics?

One improvement Snowflake Analytics could benefit from is in cost, particularly during peak hours. Sometimes, due to its automatic scalability, we think it has scaled up, but it does not always hap...

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What is your primary use case for Snowflake Analytics?

I am using Snowflake Analytics because we are already using Snowflake for data engineering and data warehousing tasks, and we are using it for analytics as well as business intelligence reporting. ...

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Comparisons

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

Amplitude vs Snowflake Analytics

Compared 10% of the time

BigQuery vs Snowflake Analytics

Compared 9% of the time

Keen IO vs Snowflake Analytics

Compared 6% of the time

Firebolt vs Snowflake Analytics

Compared 5% of the time

Azure Data Factory vs Snowflake Analytics

Compared 5% of the time

More Snowflake Analytics Competitors

Product Reports

Buyer's Guide

SAP NetWeaver Business Warehouse

July 2026

Download SAP NetWeaver Business Warehouse product report

Buyer's Guide

Snowflake Analytics

July 2026

Download Snowflake Analytics product report

Also Known As

NetWeaver Business Warehouse, NetWeaver BusinessObjects Warehouse

No data available

Overview

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

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?

Time Travel: Enables users to access historical data effortlessly.
Zero-Copy Cloning: Allows cloning of data without storage costs.
Scalability: Easily handles large data volumes.
Data Sharing: Facilitates seamless data sharing across platforms.
Decoupled Architecture: Enhances cost efficiency by separating computation and storage.

What benefits should businesses look for in Snowflake reviews?

Cost Efficiency: Optimized costs through advanced storage management.
Performance: High-speed computations and real-time analytics.
Security: End-to-end encryption ensuring data security.
Flexibility: Supports multiple cloud environments for diverse needs.

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.

Snowflake Computing

Sample Customers

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)

Lionsgate, Adobe, Sony, Capital One, Akamai, Deliveroo, Snagajob, Logitech, University of Notre Dame, Runkeeper

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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