SAP Business Warehouse vs Snowflake Analytics comparison

SAP and Snowflake Computing are both solutions in the Cloud Data Warehouse category. SAP is ranked #15 with an average rating of 8.0, while Snowflake Computing is ranked #12 with an average rating of 8.5. SAP holds a 2.4% mindshare in CDW, compared to Snowflake Computing’s 3.4% mindshare. Additionally, 89% of SAP users are willing to recommend the solution, compared to 100% of Snowflake Computing users who would recommend it.

SAP Business Warehouse

Read 26 SAP Business Warehouse reviews

2,199 Views
1,297 Comparison Views

89% willing to recommend

Snowflake Analytics

Read 44 Snowflake Analytics reviews

3,188 Views
1,403 Comparison Views

100% willing to recommend

SAP Business Warehouse

Snowflake Analytics

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Executive SummaryUpdated on Dec 18, 2024

SAP Business Warehouse and Snowflake Analytics are prominent competitors in data management and analytics. Snowflake Analytics is favored for its cloud-native approach, providing superior flexibility and scalability.

Features: SAP Business Warehouse provides robust data modeling tools, strong analytics within an enterprise ecosystem, and seamless SAP integration. Snowflake Analytics excels with elastic scalability, supports various data workloads, and offers advanced data warehousing features.

Room for Improvement: SAP Business Warehouse could enhance ease of use and reduce complexity in integration processes. Real-time data processing and improved user interface are also areas for growth. Snowflake Analytics can enhance cost control features, expand integration capabilities, and improve non-technical user accessibility.

Ease of Deployment and Customer Service: SAP Business Warehouse requires significant setup and integration, while Snowflake Analytics facilitates quick cloud-based deployment. Snowflake's customer service is praised for swift responses, whereas SAP Business Warehouse has an extensive support network but slower response times.

Pricing and ROI: SAP Business Warehouse has a higher setup cost and takes longer to achieve ROI, whereas Snowflake Analytics offers a cost-effective pay-as-you-go pricing model that ensures quicker ROI and reduces initial investment.

To learn more, read our detailed SAP Business Warehouse vs. Snowflake Analytics Report (Updated: August 2026).

Buyer's Guide

SAP Business Warehouse vs. Snowflake Analytics

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

SAP Business Warehouse

Ranking in Cloud Data Warehouse

15th

Average Rating

7.8

Reviews Sentiment

6.1

Number of Reviews

Ranking in other categories

No ranking in other categories

Snowflake Analytics

Ranking in Cloud Data Warehouse

12th

Average Rating

8.4

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Web Analytics (2nd)

Mindshare comparison

As of August 2026, in the Cloud Data Warehouse category, the mindshare of SAP Business Warehouse is 2.4%, up from 1.7% compared to the previous year. The mindshare of Snowflake Analytics is 3.4%, up from 0.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Data Warehouse Mindshare Distribution
Product	Mindshare (%)
Snowflake Analytics	3.4%
SAP Business Warehouse	2.4%
Other	94.2%

Cloud Data Warehouse

Featured Reviews

VishnuReddy2

Consulting Enterprise Architect at R2V2.ai

Have encountered complexity with programming language while working on large-scale data integration and have experienced improved governance and reporting

The only complexity I find with the product is the programming language; people find it harder, but once you know the language, it's not that difficult. Regarding the future of SAP Business Warehouse, I would to see added features that simplify the product very well now. They are coming up with a terminology called SAP BDC where they are consolidating their tools, SAP Data Sphere for integration and SAP BW for the ETL and warehousing parts, and SAP Analytics Cloud. They are packaging these three features and calling it Business Data Cloud; they are fully coming on the cloud. We have to wait and watch; they have been speaking about BW/4HANA for quite some time now, but the customers or clients I work with are not finding great interest and it was seen as a candidate for evaluation. I have seen people looking at the latest technologies who are already on cloud who started building from scratch on cloud, such as Snowflake or Databricks, which can process very huge amounts of data and also address unstructured data, where SAP lags behind in cases where there is a need to bring in unstructured data. I have worked with SAP Data Intelligence, which earlier used to be called SAP Data Hub. The unstructured data is not greatly handled in SAP at this point in time.

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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

"Technical support is very good, and we were very satisfied with their level of support when we needed it."

"The most useful feature has been he ability to feed data into multiple systems in various formats."

"Having the back-end data set with the right information is the best qualification for this solution."

"We are currently in a basic stage of analytics and the first goal we have is to make sure the numbers are correct. BW has some features that help you to build factors and ETL in such a way that it's easy to get to correct responses. That's the number one condition that you have to have in an analytic solution."

"The warehouse is the solution's most valuable feature."

"BW is our bread and butter."

"The most valuable feature of SAP Business Warehouse is its hybrid functionality, allowing users to leverage both SQL-based data warehouse capabilities from HANA and feature-based data warehousing from BW."

"Having the integration with the reporting tool which is provided by SAP is great."

More SAP Business Warehouse pros

"It is quite a convenient tool."

"It helps with business intelligence by providing analytics that can be reported."

"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."

"The solution auto-scales and it provides concurrency."

"Scalability-wise, I rate the solution a ten out of ten."

"Time Travel and Snowpipe are good features."

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

"In most cases, Snowflake improves our operational efficiency if we optimize the warehouse."

More Snowflake Analytics pros

Cons

"Areas for improvement in SAP Business Warehouse include enhancing scheduling and monitoring tools, as well as improving communication about hidden features to make them more accessible to users."

"They should reduce the product’s installation package size for easier downloading."

"Integration with SAP Business Warehouse's ETL tools is not straightforward."

"A few things which are missing include the visualization of reports. That's where your costs and licensing become heavy. When it comes to this database compared Microsoft Warehouse, it's an expensive solution."

"The way the data is stored is kind of rigid in SAP BW as a product."

"It's a product that is at the end of life so they will not improve it anymore."

"In the next release, my suggestion would be to have user-friendly interfaces and performance issues be addressed."

"The solution should be more open to the cloud."

More SAP Business Warehouse cons

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

"The product's cost is an area of concern where improvements are required."

"I would prefer Snowflake Analytics to improve their support response times, as sometimes the responses we receive are not very prompt and ticket assignments may not be timely."

"Integration into different Python and Jupyter notebooks needs to be improved."

"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."

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

"The platform could work easier for AI implementation compared to one of its competitors."

More Snowflake Analytics cons

Pricing and Cost Advice

"It's moderately expensive, but definitely has its branding and price value for it."

"It's quite pricey. SAP changed its pricing policy, so they give you one engine and then you have to buy everything next to it, like MSS, the BPC licenses, and everything else."

"I would not recommend it to small-scale companies. The price is too much."

"SAP Business Warehouse licensing is a bit expensive compared to other products in the market."

"Overall, the pricing is not fixed and is expensive."

"The licensing cost for SAP Business Warehouse depends on your revenue. Its licensing structure is a little bit complicated. The more your revenue is, the higher the price, but SAP does have different pricing structures for various companies. For small businesses, licensing isn't based on revenue, but for big companies, it's revenue-based. There's some agreement regarding pricing for huge companies, so it's different, and SAP Business Warehouse pricing isn't fixed. On a scale of one to ten, I'm rating the licensing cost for SAP Business Warehouse as five because it's very high. As your revenue grows, your licensing cost also increases, so you have to factor that in when calculating your cost."

"The license for SAP Business Warehouse is paid yearly, and there's no extra cost in addition to the standard licensing fees."

"The solution is quite expensive."

"On a scale of one to ten, where one is a low price, and ten is a high price, I rate the pricing a seven. The solution's pricing is high."

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

"It is an expensive solution, but the kind of usability and flexibility it proactively provides for the organizations justify the price."

"The tool is quite expensive."

"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."

"Snowflake Analytics is a little more costly than Azure."

"I have been using free trial version."

"I rate the product's licensing cost a five or six on a scale of one to ten, where one is low price, and ten is high price."

More Snowflake Analytics pricing and cost advice

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Top Industries

By visitors reading reviews

Manufacturing Company

13%

Construction Company

11%

Healthcare Company

Comms Service Provider

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	8
Midsize Enterprise	4
Large Enterprise	15

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

Questions from the Community

What is your experience regarding pricing and costs for SAP Business Warehouse?

The pricing for SAP Business Warehouse is on the expensive side. I am not sure about the current costing model as such. In my experience on cloud, I did not use BW HANA Cloud. I used the cloud prod...

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What needs improvement with SAP Business Warehouse?

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What is your primary use case for SAP Business Warehouse?

I am using SAP Business Warehouse in my organization for data warehousing as well as an ETL tool. Integration with SAP Business Warehouse's ETL tools is not straightforward. Integration with SAP ER...

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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...

See all answers

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. ...

See all answers

Comparisons

Snowflake vs SAP Business Warehouse

Compared 17% of the time

Microsoft Azure Synapse Analytics vs SAP Business Warehouse

Compared 11% of the time

BigQuery vs SAP Business Warehouse

Compared 11% of the time

SAP Business Data Cloud vs SAP Business Warehouse

Compared 8% of the time

Databricks vs SAP Business Warehouse

Compared 7% of the time

More SAP 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 Business Warehouse

July 2026

Download SAP Business Warehouse product report

Buyer's Guide

Snowflake Analytics

July 2026

Download Snowflake Analytics product report

Overview

SAP Business Warehouse integrates real-time data access via HANA, with Microsoft Excel and SAP ERP for enhanced data transformation and reporting. Known for its speed and hybrid features, it meets diverse data governance needs.

SAP Business Warehouse is designed to streamline data access and transformation with its integration capabilities. Its speed and efficiency are complemented by advanced reporting features and a robust authorization model. Users benefit from drag-and-drop reporting and alert systems that enhance operational efficiency. Despite its strengths, improvements are necessary in user friendliness, data integration, and reporting speed. Users require better trend analysis tools, increased visualization capabilities, and a more flexible configuration to optimize use. Real-time data access remains an area for development.

What features define SAP Business Warehouse?

HANA Integration: Enables real-time data access
Excel and ERP Integration: Seamless interaction with popular tools
Advanced Reporting: Delivers high-quality reporting capabilities
Hybrid Functionality: Offers versatile use cases
Drag-and-Drop: Simplifies reporting and analysis tasks
Authorization Model: Ensures secure data handling

What benefits and ROI can users expect?

Operational Efficiency: Enhanced by alert and monitoring tools
Data Governance: Robust models meet diverse needs
Centralized Data: Comprehensive data storage and access
Decision-Making Support: BI tools inform strategic planning

SAP Business Warehouse plays a crucial role in industries like finance and supply chain, leveraging data warehousing, ETL processes, and powerful BI applications to enhance decision-making with tools like Business Objects, Tableau, and Power BI. It serves as a central data repository, facilitating extensive reporting and analysis capabilities.

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

Medtronic, Cirque du Soleil, Antarc, B&G Manufacturing, EarlySense, eBay, Ferrero, James Austin Company, Lenovo, Sagem, RAK Ceramics, Vodafone

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

Buyer's Guide

SAP Business Warehouse vs. Snowflake Analytics

August 2026

Free Report: SAP Business Warehouse vs. Snowflake Analytics

Find out what your peers are saying about SAP Business Warehouse vs. Snowflake Analytics and other solutions. Updated: August 2026.

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