SAP Analytics Hub vs Teradata comparison

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SAP Analytics Hub

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Executive SummaryUpdated on Jul 27, 2025

Teradata and SAP Analytics Hub compete in the data analytics and management sector. Teradata leads in pricing and support, while SAP Analytics Hub offers superior features.

Features: Teradata offers robust data management, an extensive analytical engine, and parallel processing capabilities. It excels at handling complex queries and scalable solutions. SAP Analytics Hub provides comprehensive integration with SAP services, a user-friendly interface, and real-time data availability.

Room for Improvement: Teradata could enhance its integration capabilities and user interface while simplifying deployment processes. Its initial complexity could be reduced for better accessibility. SAP Analytics Hub may improve by reducing costs, expanding analytics capabilities, and enhancing support for non-SAP ecosystems.

Ease of Deployment and Customer Service: Teradata's deployment is intricate, requiring technical expertise, but it offers commendable customer support. SAP Analytics Hub provides an easier deployment process, especially for SAP users, with effective and prompt customer service.

Pricing and ROI: Teradata offers competitive pricing with a strong focus on ROI through scalability and efficient data management. SAP Analytics Hub is higher in initial cost but promises significant long-term value, particularly for businesses deeply integrated with SAP solutions.

To learn more, read our detailed SAP Analytics Hub vs. Teradata Report (Updated: September 2025).

SAP Analytics Hub vs. Teradata

September 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 Analytics Hub

Ranking in Data Integration

51st

Ranking in BI (Business Intelligence) Tools

31st

Average Rating

7.2

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Teradata

Ranking in Data Integration

17th

Ranking in BI (Business Intelligence) Tools

14th

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Customer Experience Management (7th), Backup and Recovery (22nd), Relational Databases Tools (8th), Data Warehouse (3rd), Marketing Management (5th), Cloud Data Warehouse (4th)

Mindshare comparison

As of September 2025, in the Data Integration category, the mindshare of SAP Analytics Hub is 0.3%, up from 0.1% compared to the previous year. The mindshare of Teradata is 1.1%, up from 0.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Market Share Distribution
Product	Market Share (%)
Teradata	1.1%
SAP Analytics Hub	0.3%
Other	98.6%

Data Integration

Featured Reviews

Nitesh Agrawal

Director & Co-Owner at InfraBeat Technologies Pvt. Ltd.

Integration and security have improved, but search functionality and clarity of future direction need enhancement

The search function in SAP Analytics Hub is not effective. When speaking about integration with various analytic sources, for example, if I wanted to send the data from SAP BW or B4HANA to a data lake, we used to earlier use the Open Data Hub or Analytics Hub. Nowadays, we are using the Data Sphere integrators available with Amazon, Azure, and Google Cloud. The search capability could be better, and SAP needs to come out with a clear roadmap for the solution going ahead, as they have not yet provided that.

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RajeshKumar25

Principal Consultant & Director at Quensulting

Harnessing advanced parallelism for top performance while embracing cloud trends

Teradata is primarily used for data warehousing across all customers. My clients have built-in applications that use Teradata, and their use varies from customer to customer, depending on the industry and database size. The primary function is as an OLAP analytical ecosystem Scalability is…

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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 consistency is also a notable feature; the system takes care of data consistency, so you don't need to handle it manually."

"The platform's main benefit is its integration with SAP ERP data. It’s effective for data integration and integrity."

"SAP Analytics Hub offers a user-friendly interface with effortless configuration, seamless updates, and real-time availability of information. It avoids the complexities associated with batch processing, providing a smooth and efficient experience."

"This product provides good reports using a single pane of glass."

"For report scheduling, I always prefer SAP because it has the most powerful scheduling features, like sending reports to more than 1,000 customers per day. That option is not as good in Microsoft BI and in Tableau it only exists as an add-on option."

"What I like best about this solution is that it is built into the SAP line, making it easier to integrate with other SAP products."

"As a partner, I can mention something positive about SAP Analytics Hub: its products are tightly integrated, so the business context of data is retained in the analytics solution, and that's the main advantage."

"The two types of partitioning have been very significant for us - row and columnar partitioning."

"Parallel processing features have helped to easily dump any size of data and retrieve data with great performance."

"It is a highly robust software solution."

"The most valuable feature of Teradata is the quick processing of large data."

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

"A conventional and easily defined way to build a data warehouse or a layer of data marts."

"Viewpoint, the detailed query logs and performance statistics are valuable features."

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

More Teradata pros

Cons

"Pricing and support are integrated into the system. However, the support process can be challenging, particularly when navigating the SAP support site, which lacks user-friendliness and ease of access."

"The technical support for Analytics Hub is limited and could be improved."

"The search capability could be better, and SAP needs to come out with a clear roadmap for the solution going ahead, as they have not yet provided that."

"Faster implementation of new functions for the new product is an area of improvement in SAP Analytics Hub."

"The platform could easily integrate with other ERP data solutions. Additionally, it should be faster compared to competitors in the cloud space."

"The interface can be simplified because it is not a user-friendly experience."

"The analytics part of SAP has not been that good up until now. They're still in the infant stage and development is still going on. SAP has some cloud analytics and they're trying to configure it in Lumira, but it's not that good at this point."

"An additional feature I would you like to see included in the next release, is that it needs to be more cloud-friendly."

"Query language and its functionality are rather limited, compared to Oracle or even SQL Server. However, it is possible to perform any kind of logic in it (though some workarounds may be required)."

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

"Sometimes the large injestion takes days to load data, and some of our stored procedures take two to three days."

"Data synchronization to the DR site."

"Teradata could improve by being less complicated. There are some aspects that are not available on the Unix server and a Unix system is required to access some data, such as in case of an emergency."

"Teradata hardly supports unstructured data or semi-structured data"

"Stability-wise, we have had some issues with automation and the ability to handle large datasets."

More Teradata cons

Pricing and Cost Advice

"The product is expensive."

"It is an expensive solution."

"The pricing is reasonable."

"They are pursuing a highly assertive approach to target businesses of all sizes within the industry."

"We are looking for a more flexible cost model for the next version that we use, whether it be cloud or on-premise."

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

"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."

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

"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 of running Teradata is quite high, but you get a good return on investment."

"The initial cost may seem high, but the TCO is low."

"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…

Read full review

Top Industries

By visitors reading reviews

Energy/Utilities Company

10%

Manufacturing Company

10%

Financial Services Firm

Healthcare Company

Financial Services Firm

25%

Computer Software Company

10%

Manufacturing Company

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	2
Midsize Enterprise	3
Large Enterprise	3

By reviewers
Company Size	Count
Small Business	25
Midsize Enterprise	12
Large Enterprise	49

Questions from the Community

What is your experience regarding pricing and costs for SAP Analytics Hub?

The product is expensive. The cost starts from $1,000,000 per year. Moreover, there are additional costs involved for customization.

What needs improvement with SAP Analytics Hub?

The platform could easily integrate with other ERP data solutions. Additionally, it should be faster compared to competitors in the cloud space.

What advice do you have for others considering SAP Analytics Hub?

I advise others to be aware of the total ownership cost of the product for the next three to five years. I rate it a seven out of ten.

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 Analytics Cloud vs SAP Analytics Hub

Comparisons

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Compared 33% of the time

Microsoft Power BI vs SAP Analytics Hub

Compared 28% of the time

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Oracle Exadata vs Teradata

Compared 12% of the time

IBM Db2 Database vs Teradata

Compared 7% of the time

Snowflake vs Teradata

Compared 7% of the time

SQL Server vs Teradata

Compared 7% of the time

OpenText Analytics Database (Vertica) vs Teradata

Compared 6% of the time

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Product Reports

Download SAP Analytics Hub product report

SAP Analytics Hub

August 2025

Download Teradata product report

August 2025

Also Known As

No data available

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

Overview

SAP Analytics Hub simplifies access to analytics scattered across multiple heterogeneous environments. The solution recommends the best analytics to fit personalized needs and grants users with actionable insights without compromising agility.

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

STIB-MIVB

Netflix