SAP Analytics Hub vs Teradata comparison

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SAP Analytics Hub

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Executive SummaryUpdated on Sep 30, 2025

Teradata and SAP Analytics Hub compete in the data analytics and data warehousing industry. Teradata appears more potent in handling large-scale data operations with advanced processing capabilities, while SAP focuses on seamless integration within its ecosystem.

Features: Teradata is known for Massive Parallel Processing, enabling efficient handling of large datasets with linear scalability. It offers advanced analytics with diverse partitioning and query optimization. Its architecture supports smooth workload management. SAP Analytics Hub excels in integration with SAP ERP data, providing an easy model-building interface. It ensures data consistency and offers excellent compatibility with other SAP products.

Room for Improvement: Teradata needs better transactional process efficiency, optimized cloud integration, and more competitive pricing. Support for unstructured data is also an area for enhancement. SAP Analytics Hub requires improvement in technical support and integration with non-SAP products. Additionally, more advanced self-service analytics options and structured learning paths to ease the learning curve are necessary.

Ease of Deployment and Customer Service: Teradata allows deployment across various environments, including on-premises and cloud, with high ratings for professional support that enhances user experience. SAP Analytics Hub offers public and hybrid cloud configurations but receives mixed feedback in support service quality compared to Teradata.

Pricing and ROI: Teradata delivers high performance at a high cost, with users experiencing significant ROI. Its pricing is considered costly, especially for smaller businesses. SAP Analytics Hub offers flexible pricing models suitable for large organizations but faces challenges for smaller enterprises with budget constraints. Both solutions are seen as valuable investments for large operations.

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

SAP Analytics Hub 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 Analytics Hub

Ranking in Data Integration

51st

Ranking in BI (Business Intelligence) Tools

30th

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

13th

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Customer Experience Management (6th), Backup and Recovery (21st), Relational Databases Tools (8th), Data Warehouse (3rd), Marketing Management (5th), Cloud Data Warehouse (4th)

Mindshare comparison

As of October 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 0.8%, 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	0.8%
SAP Analytics Hub	0.3%
Other	98.9%

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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Kirk Robinson

Interim and Fractional CIO and CTO at a consultancy with 11-50 employees

Has improved data quality, optimized reporting processes, and enabled predictive insights across business units

The limitation we encountered was related to speed, prompting us to increase our AWS cloud thresholds and benchmarks on the servers, adding more throughput. We have been testing that, but speed remains one of our key issues. The integration has been awesome because of the platforms and their usage, and usability is great. The most challenging aspect is finding Teradata resources, so we are focusing on internal training and looking for more Teradata experts. If Teradata could provide a list of certified experts, that would be fantastic. I rated Teradata a nine because the main area for improvement is the bandwidth of resources that could assist us in applying to our projects, specifically more certified and expert resources. The market share of Teradata professionals is limited, creating an issue for us.

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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

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

"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."

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

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

"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."

"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."

"Teradata is a great, industry-leading data warehousing product that has MPP architecture."

"Teradata's capabilities enhance data management efficiency, support scalability, and contribute to faster query performance."

"Teradata effectively uses parallelism to the granular level, performing better than other databases."

"Teradata solutions help organizations reduce IT, operations, and maintenance costs; enhance on-time delivery of products and services."

"It is quick, secure, and has less hassles because we don't have to involve our networking team, infrastructure, etc. It is very easy to deploy and make market ready."

"The tool's most valuable feature is the warehousing model."

"It has given our business the ability to gain insights into the data and create data labs for analysis and PoCs."

"Teradata's most valuable feature is that it's easy to use."

More Teradata pros

Cons

"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."

"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."

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

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

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

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

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

"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."

"Their level of technical support is adequate. It could be better."

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

"The primary challenge with Teradata lies in its cost structure, encompassing subscription fees, software licenses, and hardware expenses."

"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."

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

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

More Teradata cons

Pricing and Cost Advice

"It is an expensive solution."

"The product is expensive."

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

"The pricing is reasonable."

"Teradata is expensive but gives value for money, especially if you don't want to move your data to the cloud."

"Teradata is a very expensive solution."

"I am using the free version of Teradata."

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

"Teradata pricing is fine, and it's competitive with all the legacy models. On a scale of one to five, with one being the worst and five being the best, I'm giving Teradata a three, because it can be a little expensive, when compared to other solutions."

"The tool costs about 30,000 euros a month, while Azure Synapse SQL only costs 10,000."

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%

Healthcare Company

Financial Services Firm

25%

Computer Software Company

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	26
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?

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

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 ...

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,...

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Product Reports

SAP Analytics Hub

Download SAP Analytics Hub product report

Download Teradata product report

Also Known As

No data available

IntelliFlex, Aster Data Map Reduce, , QueryGrid, Customer Interaction Manager, Digital Marketing Center, Data Mover, Data Stream Architecture, Teradata Vantage Enterprise (DIY)

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 powerful tool for handling substantial data volumes with its parallel processing architecture, supporting both cloud and on-premise environments efficiently. It offers impressive capabilities for fast query processing, data integration, and real-time reporting, making it suitable for diverse industrial applications.

Known for its robust parallel processing capabilities, Teradata effectively manages large datasets and provides adaptable deployment across cloud and on-premise setups. It enhances performance and scalability with features like advanced query tuning, workload management, and strong security. Users appreciate its ease of use and automation features which support real-time data reporting. The optimizer and intelligent partitioning help improve query speed and efficiency, while multi-temperature data management optimizes data handling.

What are the key features of Teradata?

Parallel Processing Architecture: Enables efficient handling of substantial data volumes.
Cloud and On-Premise Deployment: Offers seamless adaptability across environments.
Query Tuning: Improves speed and performance of data retrieval processes.
Workload Management: Ensures optimal resource allocation for enhanced performance.
Robust Security: Provides high levels of data protection and system integrity.
Data Integration: Facilitates cohesive data management from multiple sources.
Automation for Real-time Reporting: Enhances timely data insights and decision-making.
Optimizer and Intelligent Partitioning: Further increase query speed and system efficiency.
Multi-Temperature Data Management: Optimizes the handling and retrieval of data.

What benefits and ROI do users look for?

Efficient Data Management: Facilitates smooth integration and processing of diverse data sets.
Scalability: Easy adjustment to increasing or decreasing data requirements.
Improved Performance: Fast query speeds and optimized resource use.
Comprehensive Security: Safeguards data integrity and accessibility.
Ease of Use: Simplifies data handling and operational processes.

In the finance, retail, and government sectors, Teradata is employed for data warehousing, business intelligence, and analytical processing. It handles vast datasets for activities like customer behavior modeling and enterprise data integration. Supporting efficient reporting and analytics, Teradata enhances data storage and processing, whether deployed on-premise or on cloud platforms.

Sample Customers

STIB-MIVB

Netflix

SAP Analytics Hub vs. Teradata