SAP Analytics Hub vs Teradata comparison

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SAP Analytics Hub

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Executive SummaryUpdated on Jan 4, 2026

Teradata and SAP Analytics Hub are prominent solutions in the data analytics category. Teradata tends to have the upper hand due to its powerful analytics capabilities and scalability, especially for handling large volumes of data.

Features: Teradata is known for its "Parallel Everything” design, enabling fast query execution through a shared-nothing architecture that scales linearly. Its optimizer and features such as workload management, virtual OLAP, and geospatial analytics are highly valued. Columnar and temporal partitioning enhance its adaptability for BI operations. SAP Analytics Hub integrates seamlessly with the SAP ecosystem, simplifying analytics processes for SAP users with its user-friendly setup and consistent interface. Its strength lies in effective data integration from various SAP products, enabling cohesive data insights.

Room for Improvement: Teradata faces cost challenges and performance scalability issues in cloud contexts. Users suggest improvements in query languages and integration with modern platforms. SAP Analytics Hub requires enhancements in handling third-party products, integration with non-SAP tools, and technical support improvements. Its standalone analytics functionalities could be more mature compared to Teradata.

Ease of Deployment and Customer Service: Teradata offers on-premises, hybrid, and cloud deployment options with excellent technical support, though response times may vary. SAP Analytics Hub focuses on cloud and hybrid deployments, excelling within the SAP ecosystem. While Teradata provides more deployment flexibility, SAP users benefit from the tight integration. Both have reputable support teams, yet SAP could improve support accessibility.

Pricing and ROI: Teradata's premium pricing reflects its capabilities, offering strong ROI in performance improvement. It may not be ideal for smaller companies but remains competitive for large operations. SAP Analytics Hub is cost-effective for large enterprises, offering good ROI through efficient data management. Smaller companies might find Microsoft Power BI a more attractive alternative for less demanding needs.

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

SAP Analytics Hub vs. Teradata

December 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

50th

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

15th

Ranking in BI (Business Intelligence) Tools

8th

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Customer Experience Management (6th), Backup and Recovery (15th), Relational Databases Tools (6th), Data Warehouse (3rd), Marketing Management (5th), Cloud Data Warehouse (3rd), Database Management Systems (DBMS) (3rd)

Mindshare comparison

As of January 2026, in the Data Integration category, the mindshare of SAP Analytics Hub is 0.5%, up from 0.1% compared to the previous year. The mindshare of Teradata is 0.9%, up from 0.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Market Share Distribution
Product	Market Share (%)
Teradata	0.9%
SAP Analytics Hub	0.5%
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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David Durand Velásquez

Engineers at a consultancy with 11-50 employees

Delivers consistent performance and enables advanced analytics across complex data environments

Teradata stands out as a solid platform for managing and analyzing large volumes of data. Its architecture allows information to be processed efficiently while maintaining stable performance, even in highly demanding environments. One of its most notable strengths is the ability to run complex queries at high speed, which is essential for organizations that require timely and reliable analytics. Teradata offers a well-integrated ecosystem that supports working with different types of data and enables scalability as organizational needs grow. Its focus on advanced analytics, integration with modern business intelligence tools, and the ability to operate both on-premise and in the cloud make it a versatile solution for data warehousing and large-scale processing. Teradata's stability, technological maturity, and the availability of strong documentation and best practices are noteworthy. I consider Teradata to be a tool with great potential for any organization looking to enhance its analytical capabilities, optimize data processing, and move toward more data-driven decision-making. Teradata stands out as a solid platform for managing a large volume of data in different projects. Its architecture allows information to be processed efficiently while maintaining stable performance, even in high-demanding environments. A well-integrated AI ecosystem that supports working with different types of data and enables scalability as organizational needs grow across different kinds of enterprises or organizations. The focus on advanced analytics integration with modern business intelligence tools is particularly valuable. Teradata combines a powerful parallel process and optimizing SQL engine with a highly scalable architecture allowing businesses to execute complex queries and analytics in real-time. It supports multi-cloud, hybrid, and on-premise environments, giving organizations flexibility to choose the setup that best aligns with their strategy. One of the biggest strengths is the ability to unify disparate data sources and support high concurrency, enabling different teams, such as analytics, operations, BI, and data science, to access consistent, trusted data across the enterprise.

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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

"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."

"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."

"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."

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

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

"IntelliFlex is easy to scale - one of its best features is that you can upscale it to the size you want."

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

"Teradata's MPP feature allowed the team to handle huge data sets on the scale of petabytes and perform analytics on those in near real-time when users queried for that data."

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

"It is a stable solution. Stability-wise, I rate the solution a nine out of ten."

"The most valuable feature is the ease of uploading data from multiple sources."

"It's very, very fast"

"The data processing, clustering, and distributed computing are impressive."

More Teradata pros

Cons

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

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

"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."

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

"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."

"Teradata's pricing is quite high compared to Redshift, Synapse, or GCP alternatives."

"Teradata is an expensive tool. Like, if you're already using Microsoft products like Windows, they'll market all their products together. And with the rise of cloud technologies, companies will adopt solutions that offer them some privileges or facilities. Similar to how SAP does it in the market, so do Microsoft and other companies. Even Oracle and other such tools are quite commonly seen compared to Teradata's competitors in everyday solutions."

"There are some ways that the handling of unstructured data could be improved."

"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."

"The reporting side wasn't very good in the past, but with the latest versions, it's getting better. Still, the friendliness of the PDC reporting and functionality needs to be improved."

"Needs compatibility with more Big Data platforms."

"The initial setup is complex because there are a lot of factors that come into play, including the amount of software and applications that require access."

"I choose 8 out of 10 for Teradata because there is always the scope for improvement."

More Teradata cons

Pricing and Cost Advice

"The pricing is reasonable."

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

"The product is expensive."

"It is an expensive solution."

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

"The price needs to be more competitive as Hadoop, Redshift, Snowflake, etc are constantly making way into EDW space."

"The price of Teradata could be less expensive."

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

"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."

"Teradata is not cheap, but you get what you pay for."

"Users have to pay a yearly licensing fee for Teradata IntelliFlex, which is very expensive."

"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."

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

15%

Transportation Company

Retailer

Financial Services Firm

24%

Manufacturing Company

Computer Software Company

Government

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	28
Midsize Enterprise	13
Large Enterprise	52

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,...

SAP Analytics Cloud vs SAP Analytics Hub

Comparisons

Compared 20% of the time

Microsoft Power BI vs SAP Analytics Hub

Compared 17% of the time

SAS Access vs SAP Analytics Hub

Compared 16% of the time

Informatica PowerCenter vs SAP Analytics Hub

Compared 12% of the time

Palantir Foundry vs SAP Analytics Hub

Compared 10% of the time

More SAP Analytics Hub Competitors

Oracle Exadata vs Teradata

Compared 7% of the time

Snowflake vs Teradata

Compared 7% of the time

Oracle Database vs Teradata

Compared 5% of the time

SQL Server vs Teradata

Compared 5% of the time

IBM Db2 Database vs Teradata

Compared 5% of the time

More Teradata Competitors

Product Reports

Download SAP Analytics Hub product report

SAP Analytics Hub

January 2026

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January 2026

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