SAP NetWeaver Business Warehouse vs Teradata comparison

SAP NetWeaver Business Ware...

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Executive SummaryUpdated on Jan 12, 2025

Teradata and SAP NetWeaver Business Warehouse are major competitors in the enterprise data management and analytics space. Teradata outshines in high-performance analytics due to its scalability and optimized querying, while SAP excels in data modeling and integration with SAP environments.

Features: Teradata's massively parallel processing and shared-nothing architecture improve performance significantly. Users appreciate its in-database data mining and virtual OLAP/cubes. SAP NetWeaver Business Warehouse offers robust data modeling and provides integrated BI tools with standard connectors to SAP ERP, supporting efficient data extraction and reporting.

Room for Improvement: Users recommend Teradata enhance query response times, support for unstructured data, and cost-effectiveness, along with cloud adaptation improvements. SAP NetWeaver faces challenges with its complexity and integration. Recommendations include simplifying the modeling and integration processes, improving multilingual support, and ensuring a more user-friendly experience.

Ease of Deployment and Customer Service: Teradata supports deployments from on-premises to hybrid cloud environments and is known for reliable technical support and comprehensive training resources. SAP NetWeaver primarily offers on-premises and private cloud deployment options and despite limitations, its support is generally well-regarded. Both services can improve in customer service responsiveness.

Pricing and ROI: Teradata is typically high-cost, but its scalability offers a good return on investment for larger enterprises. Flexible pricing models are available. SAP NetWeaver is seen as similarly expensive, with costs influenced by licenses and specific product choices. Both solutions have high initial costs, yet users find value in their robust functionalities.

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

SAP NetWeaver Business Warehouse vs. Teradata

April 2025

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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 NetWeaver Business Ware...

Ranking in Data Warehouse

15th

Average Rating

7.8

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

No ranking in other categories

Teradata

Ranking in Data Warehouse

3rd

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Customer Experience Management (6th), Backup and Recovery (20th), Data Integration (17th), Relational Databases Tools (7th), BI (Business Intelligence) Tools (10th), Marketing Management (6th), Cloud Data Warehouse (6th)

Mindshare comparison

As of April 2025, in the Data Warehouse category, the mindshare of SAP NetWeaver Business Warehouse is 0.3%, down from 0.5% compared to the previous year. The mindshare of Teradata is 16.3%, up from 15.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Warehouse

Featured Reviews

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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SurjitChoudhury

Data engineer at Cocos pt

Offers seamless integration capabilities and performance optimization features, including extensive indexing and advanced tuning capabilities

We created and constructed the warehouse. We used multiple loading processes like MultiLoad, FastLoad, and Teradata Pump. But those are loading processes, and Teradata is a powerful tool because if we consider older technologies, its architecture with nodes, virtual processes, and nodes is a unique concept. Later, other technologies like Informatica also adopted the concept of nodes from Informatica PowerCenter version 7.x. Previously, it was a client-server architecture, but later, it changed to the nodes concept. Like, we can have the database available 24/7, 365 days. If one node fails, other nodes can take care of it. Informatica adopted all those concepts when it changed its architecture. Even Oracle databases have since adapted their architecture to them. However, this particular Teradata company initially started with its own different type of architecture, which major companies later adopted. It has grown now, but initially, whatever query we sent it would be mapped into a particular component. After that, it goes to the virtual processor and down to the disk, where the actual physical data is loaded. So, in between, there's a map, which acts like a data dictionary. It also holds information about each piece of data, where it's loaded, and on which particular virtual processor or node the data resides. Because Teradata comes with a four-node architecture, or however many nodes we choose, the cost is determined by that initially. So, what type of data does each and every node hold? It's a shared-no architecture. So, whatever task is given to a virtual processor it will be processed. If there's a failure, then it will be taken care of by another virtual processor. Moreover, this solution has impacted the query time and data performance. In Teradata, there's a lot of joining, partitioning, and indexing of records. There are primary and secondary indexes, hash indexing, and other indexing processes. To improve query performance, we first analyze the query and tune it. If a join needs a secondary index, which plays a major role in filtering records, we might reconstruct that particular table with the secondary index. This tuning involves partitioning and indexing. We use these tools and technologies to fine-tune performance. When it comes to integration, tools like Informatica seamlessly connect with Teradata. We ensure the Teradata database is configured correctly in Informatica, including the proper hostname and properties for the load process. We didn't find any major complexity or issues with integration. But, these technologies are quite old now. With newer big data technologies, we've worked with a four-layer architecture, pulling data from Hadoop Lake to Teradata. We configure Teradata with the appropriate hostname and credentials, and use BTEQ queries to load data. Previously, we converted the data warehouse to a CLD model as per Teradata's standardized procedures, moving from an ETL to an EMT process. This allowed us to perform gap analysis on missing entities based on the model and retrieve them from the source system again. We found Teradata integration straightforward and compatible with other tools.

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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

"Data modeling is a valuable feature."

"A robust and efficient product."

"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 is a robust system."

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

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

"I've never had any issues with scalability."

"It has reduced a lot of reworking on maintaining indexes, partitions, etc."

"It's very, very fast"

"The product is reliable."

"Their extensive experience in data warehousing, the platform's performance, and their strong reputation in the market are the most valuable."

"The product's scalability is great. Scalability-wise, I rate the solution a ten out of ten."

"The feature that we find most valuable is its ability to perform Massive Parallel Processing."

"The most valuable features are the large volume of data and the structuring of the data to optimize it and get very optimal data warehouse solutions for customers."

More Teradata pros

Cons

"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 program is difficult to learn to use"

"The product could provide more features."

"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."

"Design and modeling could be simplified."

"The solution needs improvement in its stability, support and pricing."

"Since I was working on the very basic, legacy systems, the memory thing was always a challenge. If Teradata is moving to the cloud, the space constraint or the memory issue that my company generally faces will eventually resolve, in time. What I'd like to see in the next release of Teradata is that it becomes full-fledged on the cloud, apart from better connectivity to various systems. For example, if I have to read or include a Python script, if I write some basic codes, I should be able to read even unstructured data. I know that it's not supported even in Snowflake, but at least semi-structured data support, if that can be a little more enhanced, that would be good."

"Teradata is an expensive tool. Like, if you're already using Microsoft products like Windows, they'll market all their products together. And with the rise of cloud technologies, companies will adopt solutions that offer them some privileges or facilities. Similar to how SAP does it in the market, so do Microsoft and other companies. Even Oracle and other such tools are quite commonly seen compared to Teradata's competitors in everyday solutions."

"The cloud is the new challenge and the new opportunity."

"I'm not sure about the unstructured data management capabilities. It could be improved."

"The initial setup was complex as we had to rewrite a lot of the code."

"I would like to see more integration with many different types of data."

"There is a need to improve performance in high transaction processes, as well as the reporting system."

More Teradata cons

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."

"Teradata is currently making improvements in this area."

"Teradata used to be expensive, but they have been lowering their prices."

"Price is quite high, so if it is really possible to use other solutions (e.g. you do not have strict requirements for performance and huge data volumes), it might be better to look at alternatives from the RDBMS world."

"The cost is substantial, totaling around $1.2 million, solely dedicated to upgrading the hardware."

"The cost is significantly high."

"When looking into implementing this product, pricing is the main issue followed by technical expertise."

"We had a lot of parties involved when purchasing from the AWS Marketplace. They are very flexible and aggressive in trying to close the deal. They are good at what they have to offer and listening to the customer. It's a two-way street."

"It comes at a notably high cost for what it offers."

More Teradata pricing and cost advice

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Comparison Review

it_user232068

Senior Data Architect at a pharma/biotech company with 1,001-5,000 employees

Aug 5, 2015

Netezza vs. Teradata

Original published at https://www.linkedin.com/pulse/should-i-choose-net Two leading Massively Parallel Processing (MPP) architectures for Data Warehousing (DW) are IBM PureData System for Analytics (formerly Netezza) and Teradata. I thought talking about the similarities and differences…

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

26%

Computer Software Company

11%

Manufacturing Company

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What do you like most about SAP NetWeaver Business Warehouse?

It is a robust system.

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

All SAP products are expensive.

What needs improvement with SAP NetWeaver Business Warehouse?

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

Comparing Teradata and Oracle Database, which product do you think is better and why?

I have spoken to my colleagues about this comparison and in our collective opinion, the reason why some people may declare Teradata better than Oracle is the pricing. Both solutions are quite simi...

Which companies use Teradata and who is it most suitable for?

Before my organization implemented this solution, we researched which big brands were using Teradata, so we knew if it would be compatible with our field. According to the product's site, the comp...

Is Teradata a difficult solution to work with?

Teradata is not a difficult product to work with, especially since they offer you technical support at all levels if you just ask. There are some features that may cause difficulties - for example,...

SAP BW4HANA vs SAP NetWeaver Business Warehouse

Comparisons

Compared 100% of the time

More SAP NetWeaver Business Warehouse Competitors

Oracle Exadata vs Teradata

Compared 14% of the time

SQL Server vs Teradata

Compared 11% of the time

MySQL vs Teradata

Compared 7% of the time

Snowflake vs Teradata

Compared 7% of the time

IBM Db2 Database vs Teradata

Compared 7% of the time

More Teradata Competitors

Product Reports

SAP NetWeaver Business Warehouse

March 2025

Download SAP NetWeaver Business Warehouse product report

Download Teradata product report

March 2025

Also Known As

NetWeaver Business Warehouse, NetWeaver BusinessObjects Warehouse

IntelliFlex, Aster Data Map Reduce, , QueryGrid, Customer Interaction Manager, Digital Marketing Center, Data Mover, Data Stream Architecture

Overview

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

Teradata is a scalable data analytics platform designed to meet enterprise demands for large-scale data management and processing, focusing on performance, scalability, and security for complex query executions.

As a leading data warehousing solution, Teradata integrates advanced analytics enabling organizations to derive insights from massive datasets. It supports high-volume data workloads with its architecture optimized for analytical queries. Users benefit from its robust scalability, allowing seamless expansion as data grows. Teradata's SQL engine is compatible with a wide range of data types, ensuring flexibility in data analysis. With advanced security measures, it protects sensitive data across various environments, providing peace of mind to users handling critical information.

What are the most important features of Teradata?

Linear Scalability: Easily expands data processing capabilities to handle increasing data loads without performance degradation.
Advanced Analytics: Supports complex analytical operations integrating machine learning and AI for predictive insights.
SQL Compatibility: Offers a comprehensive SQL interface that supports complex queries across diverse data types.
Data Security: Implements rigorous security protocols to protect data integrity and confidentiality.

What benefits and ROI should users look for?

Improved Decision-Making: Derive actionable insights quickly for strategic business decisions.
Cost Efficiency: Optimized resource usage reduces operational costs associated with data processing.
Increased Productivity: Streamlined data operations save time, allowing teams to focus on analysis.
Enhanced Scalability: Seamless growth without significant additional investment as data volumes increase.

Teradata is widely used in industries like finance, telecommunications, and healthcare, where data-driven decisions are critical. Companies leverage its robust analytics capabilities to enhance customer experiences, streamline operations, and ensure compliance with regulatory requirements. In these sectors, quick access to data insights can significantly impact competitive advantage.

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)

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