Databricks vs SAP NetWeaver Business Warehouse comparison

Databricks and SAP are both solutions in the Cloud Data Warehouse category. Additionally, 96% of Databricks users are willing to recommend the solution, compared to 80% of SAP users who would recommend it.

Databricks

Read 89 Databricks reviews

2,196 Views
1,662 Comparison Views

96% willing to recommend

SAP NetWeaver Business Ware...

Read 9 SAP NetWeaver Business Warehouse reviews

141 Views
78 Comparison Views

80% willing to recommend

Databricks

SAP NetWeaver Business Ware...

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Executive Summary

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

Find out in this report how the two Cloud Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Databricks vs. SAP NetWeaver Business Warehouse Report (Updated: April 2025).

Buyer's Guide

Databricks vs. SAP NetWeaver Business Warehouse

April 2025

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Helped 850,028 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

Databricks

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (7th), Data Science Platforms (1st), Streaming Analytics (1st)

SAP NetWeaver Business Ware...

Average Rating

7.8

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

Data Warehouse (15th)

Featured Reviews

ShubhamSharma7

Data Engineer at a engineering company with 1,001-5,000 employees

Capability to integrate diverse coding languages in a single notebook greatly enhances workflow

Databricks offers various courses that I can use, whether it's PySpark, Scala, or R. I can leverage all these courses in a single notebook, which is beneficial for clients as they can access various tools in one place whenever needed. This is quite significant. I usually work with PySpark based on client requirements. After coding, I feed the Databricks notebooks into the ADF pipeline for updates. Databricks' capability to process data in parallel enhances data processing speed. Furthermore, I can connect our Databricks notebook directly with Power BI and other visualization tools like Qlik. Once we develop code, it allows us to transform raw data into visualizations for clients using analysis diagrams, which is very helpful.

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Gebrehiwot Tesfay Gebreslassie

Business Intelligence Senior Developer II at Ethiopian Airlines

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…

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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

"The most valuable feature is the ability to use SQL directly with Databricks."

"Databricks is a unified solution that we can use for streaming. It is supporting open source languages, which are cloud-agnostic. When I do database coding if any other tool has a similar language pack to Excel or SQL, I can use the same knowledge, limiting the need to learn new things. It supports a lot of Python libraries where I can use some very easily."

"The technical support is good."

"The tool helps with data processing and analytics with large-scale data or big data since it is associated with managing data at a large scale."

"Imageflow is a visual tool that helps make it easier for business people to understand complex workflows."

"The most valuable feature is the Spark cluster which is very fast for heavy loads, big data processing and Pi Spark."

"I would rate them ten out of ten."

"We can scale the product."

More Databricks pros

"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."

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

"Data modeling is a valuable feature."

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

"A robust and efficient product."

"It is a robust system."

Cons

"While Databricks is generally a robust solution, I have noticed a limitation with debugging in the Delta Live Table, which could be improved."

"The ability to customize our own pipelines would enhance the product, similar to what's possible using ML files in Microsoft Azure DevOps."

"Pricing is one of the things that could be improved."

"It would be better if it were faster. It can be slow, and it can be super fast for big data. But for small data, sometimes there is a sub-second response, which can be considered slow. In the next release, I would like to have automatic creation of APIs because they don't have it at the moment, and I spend a lot of time building them."

"There could be more support for automated machine learning in the database. I would like to see more ways to do analysis so that the reporting is more understandable."

"Generative AI is catching up in areas like data governance and enterprise flavor. Hence, these are places where Databricks has to be faster."

"Databricks would benefit from enhanced metrics and tighter integration with Azure's diagnostics."

"The data visualization for this solution could be improved. They have started to roll out a data visualization tool inside Databricks but it is in the early stages. It's not comparable to a solution like Power BI, Luca, or Tableau."

More Databricks cons

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

"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 program is difficult to learn to use"

"Design and modeling could be simplified."

"The product could provide more features."

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

"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."

Pricing and Cost Advice

"The billing of Databricks can be difficult and should improve."

"The basic version of this solution is now open-source, so there are no license costs involved. However, there is a charge for any advanced functionality and this can be quite expensive."

"My smallest project is around a hundred euros, and my most expensive is just under a thousand euros a week. That is based on terabytes of data processed each month."

"It is an expensive tool. The licensing model is a pay-as-you-go one."

"We pay as we go, so there isn't a fixed price. It's charged by the unit. I don't have any details detail about how they measure this, but it should be a mix between processing and quantity of data handled. We run a simulation based on our use cases, which gives us an estimate. We've been monitoring this, and the costs have met our expectations."

"The solution uses a pay-per-use model with an annual subscription fee or package. Typically this solution is used on a cloud platform, such as Azure or AWS, but more people are choosing Azure because the price is more reasonable."

"We're charged on what the data throughput is and also what the compute time is."

"The licensing costs of Databricks depend on how many licenses we need, depending on which Databricks provides a lot of discounts."

More Databricks pricing and cost advice

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

"All SAP products are expensive."

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

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Top Industries

By visitors reading reviews

Financial Services Firm

18%

Computer Software Company

10%

Manufacturing Company

Healthcare Company

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

Which do you prefer - Databricks or Azure Machine Learning Studio?

Databricks gives you the option of working with several different languages, such as SQL, R, Scala, Apache Spark, or Python. It offers many different cluster choices and excellent integration with ...

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How would you compare Databricks vs Amazon SageMaker?

We researched AWS SageMaker, but in the end, we chose Databricks. Databricks is a Unified Analytics Platform designed to accelerate innovation projects. It is based on Spark so it is very fast. It...

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Which would you choose - Databricks or Azure Stream Analytics?

Databricks is an easy-to-set-up and versatile tool for data management, analysis, and business analytics. For analytics teams that have to interpret data to further the business goals of their orga...

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What do you like most about SAP NetWeaver Business Warehouse?

It is a robust system.

See all answers

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

All SAP products are expensive.

See all answers

What needs improvement with SAP NetWeaver Business Warehouse?

The product could provide more features. The stability could be improved.

See all answers

Comparisons

Dataiku vs Databricks

Compared 11% of the time

Microsoft Power BI vs Databricks

Compared 9% of the time

Dremio vs Databricks

Compared 8% of the time

Informatica PowerCenter vs Databricks

Compared 7% of the time

Tableau vs Databricks

Compared 5% of the time

More Databricks Competitors

SAP BW4HANA vs SAP NetWeaver Business Warehouse

Compared 100% of the time

More SAP NetWeaver Business Warehouse Competitors

Product Reports

Buyer's Guide

Databricks

April 2025

Download Databricks product report

Buyer's Guide

SAP NetWeaver Business Warehouse

April 2025

Download SAP NetWeaver Business Warehouse product report

Also Known As

Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash

NetWeaver Business Warehouse, NetWeaver BusinessObjects Warehouse

Overview

Databricks is utilized for advanced analytics, big data processing, machine learning models, ETL operations, data engineering, streaming analytics, and integrating multiple data sources.

Organizations leverage Databricks for predictive analysis, data pipelines, data science, and unifying data architectures. It is also used for consulting projects, financial reporting, and creating APIs. Industries like insurance, retail, manufacturing, and pharmaceuticals use Databricks for data management and analytics due to its user-friendly interface, built-in machine learning libraries, support for multiple programming languages, scalability, and fast processing.

What are the key features of Databricks?

User-friendly interface: Simplifies operations and usability.
Built-in machine learning libraries: Facilitates machine learning tasks.
Support for multiple programming languages: Enhances flexibility.
Scalability: Efficiently handles growing data needs.
Fast processing: Improves performance and speed.
Automated optimization: Reduces manual efforts.
Data visualization: Provides insightful visuals.
Collaborative features: Enhances teamwork.
Delta Lake performance: Boosts data management.
Seamless cluster management: Simplifies system operations.

What are the benefits or ROI to look for in Databricks reviews?

Efficiency in handling large datasets: Ensures smooth processing.
Interactive workspace environment: Improves user collaboration.
Integration with platforms: Provides connectivity benefits.
Performance optimization: Enhances overall system performance.
Support for data governance and security: Ensures data integrity and protection.

Databricks is implemented in insurance for risk analysis and claims processing; in retail for customer analytics and inventory management; in manufacturing for predictive maintenance and supply chain optimization; and in pharmaceuticals for drug discovery and patient data analysis. Users value its scalability, machine learning support, collaboration tools, and Delta Lake performance but seek improvements in visualization, pricing, and integration with BI tools.

Databricks

With NetWeaver Business Warehouse, you can quickly Capture, store, and consolidate your vital information with our real-time data warehouse platform. Tightly integrate your warehousing capabilities for a single version of the truth, decision-ready business intelligence, and accelerated operations.

SAP

Sample Customers

Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware

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)

Buyer's Guide

Databricks vs. SAP NetWeaver Business Warehouse

April 2025

Free Report: Databricks vs. SAP NetWeaver Business Warehouse

Find out what your peers are saying about Databricks vs. SAP NetWeaver Business Warehouse and other solutions. Updated: April 2025.

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