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SAP NetWeaver Business Warehouse vs Snowflake Analytics comparison

 

Comparison Buyer's Guide

Executive Summary

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
9
Ranking in other categories
Data Warehouse (23rd)
Snowflake Analytics
Average Rating
8.4
Reviews Sentiment
7.1
Number of Reviews
42
Ranking in other categories
Web Analytics (2nd), Cloud Data Warehouse (10th)
 

Featured Reviews

Gebrehiwot Tesfay Gebreslassie - PeerSpot reviewer
Data modeling is a valuable feature but there are some issues with scalability
We are an airline and use the system for data modeling and data warehousing, and we implement it for time performance and feedback analysis. I'm the business intelligence senior developer and we are customers of SAP.  The data modeling is very valuable for us. There are performance issues in…
Garima Goel - PeerSpot reviewer
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.

Quotes from Members

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

Pros

"Data modeling is a valuable feature."
"It is a robust system."
"It's an excellent over-all tool for managers to analyze their business."
"It provides us with proof of data, we can centralize all of the information, check it, and then provide the information to our users."
"The security and audit procedures are the most valuable features."
"Transformation is a valuable feature of SAP NetWeaver. I can transform the data as per my needs or my client's needs. For example, flat tables can be transformed with respect to our requirements to combine multiple modules into one single table, and we can derive analytics."
"A robust and efficient product."
"One of the distinctive features of Snowflake is its ability to handle large datasets efficiently."
"What we found most valuable in Snowflake Analytics are its attributes that are very convenient for business use such as data sharing, cloning, time travel, and fail-safe. It's a good product all in all."
"The solution auto-scales and it provides concurrency."
"It can run complex workloads with varied compute."
"Time Travel and Snowpipe are good features."
"Very good flexibility and it offers computation completely decoupled from the storage."
"The computational power of Snowflake is very good."
"Scaling is very high – there's no problem for scaling purposes. The learning curve is very small. And there are a lot of advanced features like handling duplicates, security, data governance, data sharing, and data cloning."
 

Cons

"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."
"There are performance issues in terms of scalability and availability."
"I think more integration with other applications would be perfect."
"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."
"The product could provide more features."
"The program is difficult to learn to use"
"Design and modeling could be simplified."
"AIML-based SQL prompt and query generation could be an area for enhancement."
"The scheduling of jobs requires improvement, particularly in terms of the user interface which currently lacks certain features found in comparable platforms."
"Navigating the user console can be challenging, particularly when looking for details like the account ID."
"Snowflake's Snowpark is an area of concern where improvements are required."
"If you have a lot of computations, it becomes very costly."
"The UI could be more user-friendly."
"A room for improvement in Snowflake Analytics is Spark, particularly its connector for Spark. An additional feature I'd like to see in the next release of the solution is built-in analytics."
"The solution needs to consider including some updates in the future."
 

Pricing and Cost Advice

"All SAP products are expensive."
"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."
"Snowflake charges per query, which amounts to a very minor cost, such as $0.015 per query."
"The product's pricing is subjective."
"The cost of Snowflake Analytics is low, any small organization can use it."
"The solution's price is high and I would rate it an eight out of ten."
"It is an expensive solution, but the kind of usability and flexibility it proactively provides for the organizations justify the 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."
"I have been using free trial version."
"It is not overly expensive. I would rate the pricing a six out of ten, with ten being expensive."
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Top Industries

By visitors reading reviews
No data available
Computer Software Company
16%
Retailer
9%
Financial Services Firm
9%
Government
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business3
Large Enterprise7
By reviewers
Company SizeCount
Small Business10
Midsize Enterprise12
Large Enterprise21
 

Questions from the Community

What is your experience regarding pricing and costs for Snowflake Analytics?
Snowflake Analytics is quite economical. It does not appear to incur significant extra expenses beyond the solution's initial cost. However, a complete pricing analysis is still in progress.
What needs improvement with Snowflake Analytics?
There are some minor issues encountered with Snowflake Analytics, such as problems when working with identity or row number generating different results or issues with referential integrity, which ...
 

Also Known As

NetWeaver Business Warehouse, NetWeaver BusinessObjects Warehouse
No data available
 

Overview

 

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 SAP NetWeaver Business Warehouse vs. Snowflake Analytics and other solutions. Updated: September 2025.
869,566 professionals have used our research since 2012.