SAP Analytics Hub vs Teradata comparison

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SAP Analytics Hub

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Executive SummaryUpdated on Jan 12, 2025

Teradata and SAP Analytics Hub compete in the data analytics and management category. SAP Analytics Hub has the upper hand in terms of integration and collaboration solutions.

Features: Teradata's features include powerful data warehousing, complex query capabilities, and advanced data processing. SAP Analytics Hub offers seamless integration, centralized access to analytical tools, and enhanced collaboration features.

Room for Improvement: Teradata could enhance its cloud-based options, simplify setup for smaller companies, and improve integration with non-native systems. SAP Analytics Hub could benefit from expanding features beyond the SAP ecosystem, enhancing user training resources, and improving real-time data processing capabilities.

Ease of Deployment and Customer Service: Teradata requires robust infrastructure, which can complicate deployment but is offset by comprehensive customer service. SAP Analytics Hub's cloud orientation allows smoother deployment and scalability with supportive customer service.

Pricing and ROI: Teradata has significant setup costs but offers substantial ROI through high-performance analytics. SAP Analytics Hub is perceived to provide valuable ROI by unifying various analytics platforms for improved decision-making, offering better value through unified data access.

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

SAP Analytics Hub vs. Teradata

April 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

44th

Ranking in BI (Business Intelligence) Tools

29th

Average Rating

7.2

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

No ranking in other categories

Teradata

Ranking in Data Integration

17th

Ranking in BI (Business Intelligence) Tools

10th

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Customer Experience Management (6th), Backup and Recovery (20th), Relational Databases Tools (7th), Data Warehouse (3rd), Marketing Management (6th), Cloud Data Warehouse (6th)

Mindshare comparison

As of April 2025, in the Data Integration category, the mindshare of SAP Analytics Hub is 0.1%, up from 0.1% compared to the previous year. The mindshare of Teradata is 1.0%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration

Featured Reviews

Hyunwook Kang

IT Director at Dfocus

Provides efficient data integration features, but the technical support services need improvement

We use the product for analytics across various business processes and sectors. It helps us analyze SAP ERP data The platform's main benefit is its integration with SAP ERP data. It’s effective for data integration and integrity. The platform could easily integrate with other ERP data solutions.…

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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

"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."

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

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

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

"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."

"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."

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

"It has increased the speed of reporting."

"It is a stable program."

"Improved performance of ETL procedures, reporting."

"It has a solid set of tools and consulting services."

"Designing the database is easy."

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

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

More Teradata pros

Cons

"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."

"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."

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

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

"Azure Synapse SQL has evolved from a solely dedicated support tool to a data lake. It can store data from multiple systems, not just traditional database management systems. On the other hand, Teradata has limitations in loading flat files or unstructured data directly into its warehouse. In Azure Synapse SQL, we can implement machine learning using Python scripts. Additionally, Azure Synapse SQL offers advanced analytical capabilities compared to Teradata. Teradata is also expensive."

"Teradata needs to pay attention to the cloud-based solution to make sure it runs smoothly."

"When backups are performed, it locks the database, preventing user access, which is a concern."

"The initial setup was complex as we had to rewrite a lot of the code."

"There is a need to improve performance in high transaction processes, as well as the reporting system."

"The following could be better: licensing, architecture openness, integration with other tools."

"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."

More Teradata cons

Pricing and Cost Advice

"The pricing is reasonable."

"The product is expensive."

"It is an expensive solution."

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

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

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

"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."

"I rate the product price a nine on a scale of one to ten, where one is cheap and ten is expensive."

"Teradata is a very expensive solution."

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

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

"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."

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

Computer Software Company

17%

Energy/Utilities Company

11%

Financial Services Firm

Manufacturing Company

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 Analytics Hub?

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

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.

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 59% of the time

Microsoft Power BI vs SAP Analytics Hub

Compared 41% of the time

More SAP Analytics Hub Competitors

Oracle Exadata vs Teradata

Compared 14% of the time

SQL Server vs Teradata

Compared 11% 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 7% of the time

More Teradata Competitors

Product Reports

Download SAP Analytics Hub product report

SAP Analytics Hub

March 2025

Download Teradata product report

March 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