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SAP BW4HANA vs Teradata comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 12, 2025

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
42
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
76
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 - PeerSpot reviewer
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.
SurjitChoudhury - PeerSpot reviewer
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.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The UI is completely new, beautiful, and user-friendly. There are some other helpful features like global filters and advanced tools. We can perform custom calculations easily From a technical perspective, the performance has been enhanced and optimized for a limited number of flows. The content settings are more advanced, and there are so many other features that I can't name them all."
"Provides a great analytics engine with all the capabilities."
"Some of the main features of this solution are that it uses HANA and it has good performance."
"I like how it blends no-code and ABAP code for complex transformations during data loading."
"The product has efficient performance."
"The most valuable feature is that it's robust."
"The solution seamlessly integrates with SAP products."
"Technology-wise, it is a very robust tool."
"Improved performance of ETL procedures, reporting."
"Teradata can be easily used in ETL mode transformations, so there is no need for expensive and inconvenient ETL tools"
"It is very stable. It's 100% uptime. Speed and resilience are one of the greatest features of this product. In almost twenty years we've never had downtime, except for outages for patches and upgrades. We've never had a system failure in twenty years."
"I found all parts --loading, transformation, processing & querying work in parallel, and end-to-end-- to be valuable."
"It's very, very fast"
"Teradata's best feature is its speed with historical data."
"The data mover is valuable over the last two years as it allows us to achieve data replication to our disaster recovery systems."
"Viewpoint, the detailed query logs and performance statistics are valuable features."
 

Cons

"Challenges arise with real-time client requirements when clients are accustomed to Microsoft Excel's extensive features for data analysis. They expect similar flexibility and customization in the solution, particularly regarding headers displaying keys and descriptions or just keys. Achieving this level of customization can be challenging, and it's an area that may need improvement."
"The interface could be more user-friendly, as we often need to do low-level coding to get things done."
"There should be a direct pipeline from Azure to SAP."
"The monitoring for the remodeling feature is very difficult to understand."
"The solution does occasionally get a few bugs, but this is typical for any product."
"The tool is not cloud-compatible."
"Real-time processing isn't BW/4HANA's strongest point."
"The tool is not easy to use for an end user."
"Teradata has a few AI models, but in data science, we need more flexibility."
"Teradata is an old data warehouse, and they're not improving in terms of new, innovative features."
"There are some ways that the handling of unstructured data could be improved."
"The solution’s pricing, scalability, and technical support response time could be improved."
"Teradata's UI could be more user-friendly."
"If I want to implement an upgrade, I'd like to see how it will be different. Ideally, Data Lab should help me test production items and also do future things. Future releases should be downloadable and testable in Data Lab."
"There is some improvement required on OLTP level and some analytical function is missing."
"Teradata is a bit late for the cloud."
 

Pricing and Cost Advice

"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."
"The product is free if we have the ECC license."
"The cost and licensing depends on how the customer is going to use the solution."
"This is an expensive solution and there are costs in addition to the standard licensing fees."
"It is an expensive product."
"As an investment, the solution is very expensive."
"It's a little expensive compared to Microsoft Azure."
"Price wise, this solution is on the higher side."
"The initial cost may seem high, but the TCO is low."
"Teradata is a very expensive solution."
"Teradata is expensive, so it's typically marketed to big customers. However, there have been some changes, and Teradata is now offering more flexible pricing models and equipment leasing. They've added pay-as-you-go and cloud models, so it's changing, but Teradata is generally known as an expensive high-end product."
"It is still a very expensive solution. While I very much like the pure technological supremacy of the software itself, I believe Teradata as a company needs to become more affordable. They are already losing the market to more flexible or cheaper competitors."
"Teradata is currently making improvements in this area."
"We are looking for a more flexible cost model for the next version that we use, whether it be cloud or on-premise."
"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."
"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."
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Comparison Review

it_user232068 - PeerSpot reviewer
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…
 

Top Industries

By visitors reading reviews
Manufacturing Company
17%
Financial Services Firm
9%
Computer Software Company
9%
Retailer
8%
Financial Services Firm
26%
Computer Software Company
11%
Manufacturing Company
7%
Healthcare Company
7%
 

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,...
 

Comparisons

 

Also Known As

SAP BW/4HANA
IntelliFlex, Aster Data Map Reduce, , QueryGrid, Customer Interaction Manager, Digital Marketing Center, Data Mover, Data Stream Architecture
 

Overview

 

Sample Customers

Information Not Available
Netflix
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