SAP NetWeaver Business Warehouse vs Teradata comparison

SAP NetWeaver Business Ware...

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Executive SummaryUpdated on Apr 20, 2025

Teradata and SAP NetWeaver Business Warehouse are competitors in the data management solutions market. Teradata appears to have the upper hand with its scalability and robust analytics, making it a preferred choice for handling large-scale data warehousing.

Features: Teradata is recognized for its massive parallel processing capabilities, scalability, and robust analytics, featuring a fully parallel MPP architecture and enhanced security measures. It provides workload management and unique partitioning options. SAP NetWeaver Business Warehouse offers strong data transformation and integration with SAP systems, along with extensive ETL features and predefined content for ease of data extraction and reporting.

Room for Improvement: Teradata users seek better integration with cloud services, competitive pricing, and support for unstructured data. Its cost and infrastructure demands pose challenges. SAP NetWeaver Business Warehouse could improve on complexity management, application integration, and data modeling processes, with both systems needing advancements in analytics and scalability.

Ease of Deployment and Customer Service: Teradata provides deployment flexibility across on-premises, public, and hybrid clouds but receives mixed reviews for support responsiveness. SAP NetWeaver Business Warehouse focuses on on-premises and private clouds, with customer support recognized for good service, though faster response times and technical expertise are needed.

Pricing and ROI: Teradata is viewed as expensive, yet its performance and scalability offer substantial ROI, suiting larger enterprises. SAP NetWeaver Business Warehouse's licensing costs can be high, including additional fees for users and capabilities, but both solutions contribute to ROI through user satisfaction and enhanced analytics. Upfront costs may pose a barrier, requiring strategic planning.

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

SAP NetWeaver Business Warehouse vs. Teradata

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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 May 2025, in the Data Warehouse category, the mindshare of SAP NetWeaver Business Warehouse is 0.3%, down from 0.4% compared to the previous year. The mindshare of Teradata is 15.9%, up from 15.5% 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

"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."

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

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

"It is a robust system."

"Data modeling is a valuable feature."

"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."

"It's a pre-configured appliance that requires very little in terms of setting-up."

"The key advantages are Performance when processing Terabytes of data and scalability."

"Teradata features high productivity and reliability because it has several redundancy options, so the system is always up and running."

"It handles large amounts of information with a linear performance increase, in relation to a HW investment."

"I found all parts --loading, transformation, processing & querying work in parallel, and end-to-end-- to be valuable."

"There are several features of Teradata that I like. One of the most basic is the indexes. I also like that it provides lower TCO. It also has the optimizer feature which is a good feature and isn't found in other legacy systems. Parallelism is also another feature I like in Teradata because when you are running or hosting on multiple systems, you have this shared-nothing architecture that helps. Loading and unloading in Teradata are also really helpful compared to other systems."

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

"The flexibility in design is very good."

More Teradata pros

Cons

"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."

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

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

"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."

"From my perspective, it would be good if they gave better ITIN/R plugins to use the data for AI modeling, or data science modeling. We can do it now; however, it could be more elegant in terms of interfacing."

"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."

"They should add more connectors to different platforms."

"Teradata can improve the way it handles big data and unstructured data."

"I've been using the same UI for 20 years in Teradata. It could use some updating. Adding more stability around Teradata Studio would be outstanding. Teradata Studio is a Java-based version of their tool. It's much better now, but it still has some room for improvement."

"The cost of Teradata Cloud Data Warehouse has room for improvement."

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

"There is some improvement required on OLTP level and some analytical function is missing."

More Teradata cons

Pricing and Cost Advice

"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."

"All SAP products are expensive."

"Teradata is currently making improvements in this area."

"The price of the solution could be reduced, it is expensive."

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

"The price of Teradata is on the higher side, and I think that it where they lose out on some of their business."

"The price of Teradata is expensive. However, what they deliver they are outstanding. If you're looking for an inexpensive solution to run a database, this isn't your tool. It's the Ferrari of databases for data warehousing."

"Teradata's licensing is on the expensive side."

"The product cost is high for what the client gets. There may be more cost-effective solutions for small and medium-sized organizations."

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

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%

Healthcare Company

Manufacturing 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

Snowflake vs Teradata

Compared 7% of the time

MySQL vs Teradata

Compared 7% of the time

IBM Db2 Database vs Teradata

Compared 6% of the time

More Teradata Competitors

Product Reports

SAP NetWeaver Business Warehouse

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Download Teradata product report

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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SAP NetWeaver Business Warehouse vs. Teradata