SAP BW4HANA vs Teradata comparison

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SAP BW4HANA

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Executive SummaryUpdated on Apr 20, 2025

Teradata and SAP BW4HANA compete in the enterprise data management and analytics space. Based on the features, Teradata appears to have an advantage due to its robust parallel processing capabilities aiding quick query execution.

Features: Teradata stands out with its parallel processing capabilities, massively parallel processing architecture, and in-database mining. It supports a variety of analytics, including geospatial and temporal analytics, and ensures scalability and consistent performance. SAP BW4HANA offers customizable preconfigured business content and integrates seamlessly within the SAP ecosystem, leveraging HANA's speed for real-time analytics and efficient data processing.

Room for Improvement: Teradata could improve by reducing costs, enhancing cloud integration, and optimizing performance for high transaction processes. It also needs to increase support for unstructured data. SAP BW4HANA should address challenges with high costs, better integrate with non-SAP systems, and simplify migration processes while improving its user interface.

Ease of Deployment and Customer Service: Teradata offers flexible deployment options across on-premises, public, and hybrid clouds and generally receives high marks for its customer service, although response time can vary. SAP BW4HANA supports various deployments but faces difficulties with integration and migration complexities. The customer service could improve in supporting integration challenges with non-SAP systems.

Pricing and ROI: Teradata is considered expensive, yet it delivers high ROI due to its performance and analytical capabilities. Its pricing structure is evolving to include flexible cloud models. SAP BW4HANA is costly and more suited for larger organizations within the SAP ecosystem. While it offers different pricing models, overall feedback highlights the significant investment, particularly for support and integration.

To learn more, read our detailed SAP BW4HANA vs. Teradata Report (Updated: April 2025).

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SAP BW4HANA vs. Teradata

April 2025

Helped 848,716 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

SAP BW4HANA

Ranking in Data Warehouse

8th

Average Rating

7.6

Reviews Sentiment

6.6

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 BW4HANA is 4.5%, down from 4.6% 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

Csaba Grünblatt

Senior Data, Data warehouse and BI/Analytics Architect at Techwave.

Performs all necessary data warehouse tasks and offers additional functionalities

SAP BW4HANA improved data reporting processes significantly. Performance on HANA database is good. Well-built data models ensure consistent and fast reporting. Reusable models enhance efficiency, even for SaaS services. In-memory computing, especially since HANA, has greatly improved performance in data analysis tasks. It eliminates the need for complex optimizations like creating indexes or aggregates. Queries that once took minutes now run in seconds, enabling real-time reporting, especially for SAP ECC on HANA. SAP BW4HANA's integration capabilities are streamlined with a simplified architecture and more virtual layers. You can directly load data into optimized layers, reducing the need for extra storage. The introduction of Open ODS Views allows for additional logic and master data inclusion, making integration faster and simpler. The learning curve for SAP BW4HANA is much faster now compared to ten years ago, thanks to abundant free resources like documentation, videos, blogs, and learning journeys provided by SAP. It is simpler to learn with these resources available compared to the past when you had to attend courses and rely on books. I would recommend SAP BW4HANA to users looking to implement it, especially if they want to keep their systems on-premise and already have SAP systems. Those with BW on HANA have two choices: BW4HANA or DataSphere, depending on their cloud strategy. If they are advanced in their cloud strategy and want to migrate off-premise, DataSphere is a good choice. However, for a robust solution on-premise or in a private cloud, BW4HANA is an excellent option. Overall, I would rate BW4HANA as a nine out of ten. It performs all necessary data warehouse tasks and offers additional functionalities. We use it traditionally, with complex transformations and models but with less emphasis on real-time processing and third-party sources.

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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

"From an ERP point of view and a functionality point of view, it works very well. The benefits are in that of financial costing and material management."

"It is a stable solution."

"The product has efficient performance."

"It is a stable solution...The initial setup was easy."

"We like that it is an SAP product, so we can easily connect with the SAP ERP system."

"It can calculate data in detail. Before we could not calculate financial documents and accountant documents in detail, we could not do it at a document level but now we can. This is the most important feature. It also has predictive analysis memory."

"The most valuable features are the speed of reporting and the HANA database."

"It's quite scalable."

More SAP BW4HANA pros

"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."

"The performance is great, we are able to query our data in one operation."

"Building a data warehouse with Teradata has definitely helped a lot of our downstream applications to more easily access information."

"The most valuable features are the Shared-nothing architecture and data protection functionality."

"It is a solid database a lot of different tools to move data."

"The ability to handle machine data parallel processing is the most valuable feature of Teradata."

"The cloud is ten times better than physical hardware; it is more cost-effective and the upgrade process is ten times easier."

"Teradata can be deployed on-premise, on the cloud, or in a virtual machine, which means customers can move without having to create their architecture all over again."

More Teradata pros

Cons

"The interface could be more user-friendly, as we often need to do low-level coding to get things done."

"Not a ten because it's expensive and its ecosystem is not very open."

"The problem is the expensive pricing of technical support, making it an area where improvements are required."

"The tool is not cloud-compatible."

"The product's initial setup phase is a bit complex."

"The monitoring for the remodeling feature is very difficult to understand."

"Price wise, this solution is on the higher side."

"I would like more integration."

More SAP BW4HANA cons

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

"Teradata is an old data warehouse, and they're not improving in terms of new, innovative features."

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

"The capability to implement it with comparable performance across various private cloud environments, ensuring adaptability to different infrastructure setups would be beneficial."

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

"Teradata hardly supports unstructured data or semi-structured 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 increasing volumes of data demand more and more performance."

More Teradata cons

Pricing and Cost Advice

"This is an expensive solution and there are costs in addition to the standard licensing fees."

"SAP BW/4HANA is expensive."

"The tool is affordable."

"As an investment, the solution is very expensive."

"The cost of ownership is higher. It's resource-intensive, and naturally, that increases costs."

"For the on-premises version of the product, the solution offers a perpetual-based licensing model to its users. In general, SAP offers a monthly subscription-based licensing model to its users."

"We started as early birds from the SAP side. We got this entire suite for free. I cannot really talk about the price because we didn't have to pay anything."

"In general, it's quite expensive."

More SAP BW4HANA pricing and cost advice

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

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

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

"Make sure you have the in-house skills to design and support the solution, as relying on external sources is extremely costly and tends to lock you into specific platforms, tools, and paradigms."

"In this day and age, we want to get things done quickly. So, we go to the AWS Marketplace."

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

"I would advise others to look into migration and setup as a fixed price and incorporate a SaaS option for other Teradata services."

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

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

Manufacturing Company

17%

Financial Services Firm

10%

Computer Software Company

Retailer

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 BW4HANA?

One significant advantage of SAP BW/4HANA is the direct integration with the SAP HANA database, providing seamless access to real-time analytics. Additionally, it enables real-time data integrati...

What is your experience regarding pricing and costs for SAP BW4HANA?

We have a broad licensing arrangement, which is expensive but worth it for sizeable businesses.

What needs improvement with SAP BW4HANA?

The interface could be more user-friendly, as we often need to do low-level coding to get things done.

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,...

Microsoft Azure Synapse Analytics vs SAP BW4HANA

Comparisons

Snowflake vs SAP BW4HANA

Compared 31% of the time

Compared 27% of the time

Amazon Redshift vs SAP BW4HANA

Compared 9% of the time

SQL Server vs SAP BW4HANA

Compared 8% of the time

SAP IQ vs SAP BW4HANA

Compared 4% of the time

More SAP BW4HANA Competitors

Oracle Exadata vs Teradata

Compared 13% of the time

SQL Server vs Teradata

Compared 10% 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 6% of the time

More Teradata Competitors

Product Reports

Download SAP BW4HANA product report

SAP BW4HANA

March 2025

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March 2025

Also Known As

SAP BW/4HANA

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

Overview

SAP BW4HANA is a data warehouse solution developed by SAP for businesses looking to analyze big data in real time. It is designed to run on the SAP HANA database, offering improved performance and optimized processing of large data sets. SAP BW/4HANA provides an array of advanced analytics capabilities, including predictive analytics, text analytics, and spatial data processing. It also offers a modern, intuitive user interface and streamlined data modeling and administration tools, making it easier for businesses to access, manage, and utilize their data.

SAP BW4HANA Features

SAP BW4HANA has many valuable key features. Some of the most useful ones include:

In-memory data processing: The solution runs on the SAP HANA database, providing fast and efficient data processing.

Advanced analytics: SAP BW4HANA includes capabilities for predictive analytics, text analytics, and spatial data processing.

Data modeling and administration: The solution provides streamlined data modeling and administration tools for efficient data management.

Modern user interface: SAP BW4HAN is designed with a modern, intuitive user interface for easier data access and analysis.

Data warehousing optimization: The solution is optimized for big data warehousing, offering improved performance and scalability.

Integration with SAP ecosystem: SAP BW4HAN integrates with the SAP ecosystem, including SAP S/4HANA and SAP Cloud Platform, for seamless data exchange.

Real-time data processing: It supports real-time data processing and analysis, enabling businesses to make data-driven decisions.

Data governance and security: With its robust data governance and security features, SAP BW4HAN can be used for secure data management and compliance.

Automated data loading: SAP BW4HAN supports automated data loading from various sources, including SAP and non-SAP systems.

Advanced data visualization: With its advanced data visualization capabilities, users can generate better data insights and make more informed business decisions.

SAP BW4HANA Benefits

There are many benefits to implementing SAP BW4HANA. Some of the biggest advantages the solution offers include:

Improved data processing speed: Running on the SAP HANA database, SAP BW/4HANA provides fast and efficient data processing, resulting in improved performance and reduced downtime.

Streamlined data management: The solution's streamlined data modeling and administration tools make it easier for organizations to manage their data, improving overall efficiency and reducing the risk of errors.

Improved data governance: SAP BW/4HANA includes robust data governance and security features, helping organizations meet regulatory requirements and protect sensitive data.

Cost savings: By optimizing data warehousing processes, SAP BW/4HANA helps organizations reduce costs and improve their bottom line.

Reviews from Real Users

SAP BW4HANA is a solution that stands out when compared to many of its competitors. Some of its major advantages are its hierarchical alert slicing, real-time insights, and its ability to transform large amounts of data.

PeerSpot reviewer, Srivatsav A., SAP BW/4HANA Specialist at a government, is very happy with the solution. He explains, "You can do hierarchical alert slicing and dicing out-of-box, which is not available in other solutions. I haven't come across that in Oracle or any other software provider."

“It has got wonderful features in terms of analyzing your production data, and it gives you real-time insight into productive maintenance. You can plan your budget, and you can map them against actuals. It gives you good insights on overall performance and processes,” says Amrit J., ERP Application Manager at an energy/utilities company.

In addition, a Technology Analyst at a tech services company mentions, "The most valuable feature is that we can transform a huge amount of data and apply business logic as per the requirements."

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

Information Not Available

Netflix