SAP Analytics Cloud vs Teradata comparison

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SAP Analytics Cloud

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Executive SummaryUpdated on Jan 12, 2025

Teradata and SAP Analytics Cloud are well-regarded for business intelligence and analytics solutions. Teradata has the upper hand in handling large data volumes with its parallel processing capabilities, while SAP Analytics Cloud offers strong AI and machine learning integration.

Features: Teradata is adept at managing large data volumes with parallel processing and a robust Teradata Optimizer. It offers advanced analytics and extensive tool integration, suitable for various data environments. SAP Analytics Cloud features integrated AI and machine learning, enabling easy predictive analysis. Its strong integration with SAP ecosystems supports unified analytics, business intelligence, and planning.

Room for Improvement: Teradata could improve in cloud services, cost-efficiency, and integrating with newer platforms while addressing challenges with unstructured data. SAP Analytics Cloud needs better connectivity with non-SAP systems, enhancements in real-time data processing, and improved predictive analytics functionalities. Integration with legacy systems and pricing remain concerns.

Ease of Deployment and Customer Service: Teradata offers deployment options, including on-premises and hybrid clouds, but its on-premise focus may complicate cloud scaling. Customer service is rated well, though response times vary. Predominantly cloud-based, SAP Analytics Cloud offers ease of deployment with reliable customer support, yet response times in support and licensing access for less frequent users need improvement.

Pricing and ROI: Teradata is seen as costly, appealing to large enterprises for its scalability and performance, with newer pricing models offering flexibility. Users report good ROI, especially when its full analytical capabilities are utilized. SAP Analytics Cloud's premium pricing offers value with SAP tool integration. However, pricing can deter new users, although it provides excellent integration for SAP-centric firms.

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

SAP Analytics Cloud 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 Cloud

Ranking in BI (Business Intelligence) Tools

5th

Average Rating

8.0

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

Predictive Analytics (2nd)

Teradata

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 (4th), Backup and Recovery (20th), Data Integration (16th), Relational Databases Tools (7th), Data Warehouse (3rd), Marketing Management (6th), Cloud Data Warehouse (6th)

Mindshare comparison

As of February 2025, in the BI (Business Intelligence) Tools category, the mindshare of SAP Analytics Cloud is 4.8%, down from 5.9% compared to the previous year. The mindshare of Teradata is 0.8%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

BI (Business Intelligence) Tools

Featured Reviews

RamasamyTelungupalayam

Product Manager - ERP Analytics and BI at Haleon

Seamless integration, collaborative features, and enhances data exploration

There are several areas for improvement in SAP Analytics Cloud. Firstly, features available in SAP Lumira are missing in SAP Analytics Cloud. Secondly, the predictive analytics functions, although promising, are currently only suitable for Proof of Concepts (POCs) and not for industrial-scale use. Lastly, the pricing model for the planning functionality is quite high and presents an entry barrier.

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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

"The visualizations have been the most valuable feature."

"SAP Analytics Cloud is very easy to use, and you don't require much technology. It has a very good library and analytics. It is easy to configure and offers good visualization."

"Data integration is very good."

"The product's most valuable features are reporting and planning, driverless planning, business vertical-wise planning, dashboarding, forecasting tools, and business forecasting."

"The product is flexible and has features like AI, link analysis, and insights. It has many features. I can search, and it creates automatic charts without selecting anything. For example, I can ask, "What is the gross margin?" the tool builds a chart based on my question."

"Technical support is helpful."

"I like the predictive features of SAP. It's easy to use tools for an end-user."

"It is scalable."

More SAP Analytics Cloud pros

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

"It is a solid database a lot of different tools to move data."

"Their extensive experience in data warehousing, the platform's performance, and their strong reputation in the market are the most valuable."

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

"The most valuable features are the large volume of data and the structuring of the data to optimize it and get very optimal data warehouse solutions for customers."

"It effectively has allowed us to remove over 20 portion copies of the data sets on other DB platforms for real-time operational reporting purposes."

"There are several features of Teradata that I like. One of the most basic is the indexes. I also like that it provides lower TCO. It also has the optimizer feature which is a good feature and isn't found in other legacy systems. Parallelism is also another feature I like in Teradata because when you are running or hosting on multiple systems, you have this shared-nothing architecture that helps. Loading and unloading in Teradata are also really helpful compared to other systems."

"We did performance testing. We had a set of real life MicroStrategy reports. Our conditions were: Not allowed to redesign data model, not allowed to rewrite the queries, all queries should be generated by MicroStrategy, no aggregates. Teradata appeared to be way faster than a similarly configured (in terms of hardware) Oracle server."

More Teradata pros

Cons

"It still lacks a lot of functionalities as compared to other tools such as Power BI or Tableau. Sorting is not working as well as it works in Tableau. A lot of other things are also not at the same level. Their technical support is not perfect and could be better. It takes a lot of time to have lacking functionalities implemented. Its integration with the BW backend should be better. Both solutions are from the same vendor. They position SAP Analytics Cloud as a reporting tool on top of the BW environment, but the integration between both is not yet 100%. For example, user management is still not synchronized."

"The business intelligence features should be improved because there is a lack of functionality regarding that part."

"Real-time reporting is one area that needs improvement for the product."

"The technology used by the tool is old, making it an area where improvements are required."

"They need a better scalability rate."

"We are currently working on connectivity with S/4HANA, but we would like to have better connectivity with our legacy systems."

"I would also like to have more advanced features for predictive analytics."

"The product could improve by enhancing connectivity issues and speeding up response times for support queries."

More SAP Analytics Cloud cons

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

"The increasing volumes of data demand more and more performance."

"It's primarily designed for big projects and therefore, the pricing is pretty high. It's not suitable for smaller companies."

"Data ingestion is done via external utilities and not by the query language itself. It would be more convenient to have that functionality within its SQL dialect."

"I would like more security and speed."

"Teradata can improve the way it handles big data and unstructured data."

"The user interface needs to be improved."

"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."

More Teradata cons

Pricing and Cost Advice

"It Wasn't directly involved in the pricing discussions, but when I joined the organization, they had already purchased the SAP Analytics Cloud solution. The organization faced challenges due to its perceived expense, leading to restrictions on granting access to many users."

"SAP Analytics Cloud can be quite expensive."

"The pricing is based on an annual license and is rated a four out of ten."

"It is a bit expensive, but really worth it, especially if you are already using other SAP tools."

"The tool's pricing is medium, and licensing costs are yearly."

"The premium option is very expensive at five thousand dollars. I use the nine hundred and ninety-nine dollar option."

"SAP pricing tends to be premium, so it is slightly higher."

"The platform is about 50% more expensive than Power BI."

More SAP Analytics Cloud pricing and cost advice

"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."

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

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

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

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

"When looking into implementing this product, pricing is the main issue followed by technical expertise."

"The solution requires a license."

"Teradata is currently making improvements in this area."

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

Educational Organization

26%

Manufacturing Company

14%

Computer Software Company

Financial Services Firm

27%

Computer Software Company

10%

Manufacturing Company

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

Which would you choose - Tableau or SAP Analytics Cloud?

Tableau is easy to set up and maintain. In about a day it is possible for the entire platform to be deployed for use. This relatively short amount of time can make all the difference for companies ...

What do you like most about SAP Analytics Cloud?

In the data warehouse, you're free to make changes. You can make everything text, meaning it's always a string. Even numbers appear as text, giving you the flexibility to work with all columns.

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

The pricing model for SAP Analytics Cloud is quite competitive, but the cost for the planning functionality is high and can be a barrier to entry. The overall cost can be managed with better billin...

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,...

Tableau vs SAP Analytics Cloud

Comparisons

Compared 17% of the time

SAP BusinessObjects Business Intelligence Platform vs SAP Analytics Cloud

Compared 17% of the time

IBM Planning Analytics vs SAP Analytics Cloud

Compared 13% of the time

Microsoft Power BI vs SAP Analytics Cloud

Compared 10% of the time

Anaplan vs SAP Analytics Cloud

Compared 9% of the time

More SAP Analytics Cloud Competitors

Oracle Exadata vs Teradata

Compared 14% of the time

SQL Server vs Teradata

Compared 11% of the time

MySQL vs Teradata

Compared 8% of the time

Snowflake vs Teradata

Compared 7% of the time

IBM Db2 Database vs Teradata

Compared 6% of the time

More Teradata Competitors

Product Reports

SAP Analytics Cloud

Download SAP Analytics Cloud product report

Download Teradata product report

Also Known As

SAP BusinessObjects Cloud

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

Overview

SAP Analytics Cloud is an all-in-one Software-as-a-Service business intelligence tool that provides the key functionalities of an analytics tool to SAP business users. This tool is built on HANA Business Intelligence (BI) platform, providing analytics from data collected from multiple sources, such as ERP, Microsoft SQL, and Salesforce, among other solutions.

You can use SAP Analytics Cloud to compile data and perform ad-hoc reporting and analysis for predictive planning. SAP Analytics Cloud collects and analyzes the raw data from transactional systems into intelligent insights that allow you to make better decisions.

SAP Analytics Cloud uses machine learning to clean up data, identify errors, and issues, and suggest optimization or filtering options. You can use the modeling feature in Analytics Cloud to create hierarchies and get deeper data insights.

The three core functions of SAP Analytics Cloud consist of Planning, Predictive Analysis, and Business Intelligence as a holistic SaaS solution that offers real-time analysis to business leaders.

SAP Analytics Cloud Capabilities

Data discovery
Machine learning
Integrated financial and business planning
Predictive analysis
Automated data cleansing
Custom widgets
Mobile extension
Role-based customization
Data exploration and visualization

SAP Analytics Cloud Key Features

Augmented analytics: SAP Analytics Cloud allows organizations to make the most of AI (Artificial Intelligence)-powered analytics through augmented analytics. It includes a Search to Insight feature that enables users not skilled or experienced in data science to access and use the platform.

These smart insight tools allow organizations to visualize business data without manual intervention. By combining multiple machine learning algorithms, SAP Analytics Cloud automates predictive analysis so that organizations can have significant insight into secured data.

Enterprise planning: As SAP Analytics Cloud is an all-in-one financial planning and analysis solution, organizations can use it to align strategies across all departments. It allows end-to-end, data-driven planning decisions via financial modeling, allocations, smart insights, and automated reporting.

The Zero-based budgeting feature allows for an effective resources allocation with built-in collaboration tools. The finance team can collaborate easily, create budget templates and make accurate decisions.

SAP Analytics Cloud Benefits

Real-time cloud insights: SAP Analytics Cloud makes it easy for users at every level to generate instant insights and improve data-driven decision-making. With SAP Analytics Cloud, you can have immediate and central access to all figures, diagrams, insights, and evaluations for every employee on every device and updated in real time.
Customizable dashboard: You can customize your dashboard according to your requirements. This customization means you can easily access all the relevant data on a single pane of vision tailored to your business.
Collaborative planning: As an all-in-one platform, SAP Analytics Cloud integrates the multiple aspects of a business into a single solution, including finance, HR, sales, and supply chain management.
Data on any device: You can integrate SAP Analytics Cloud with SAP S/4 HANA and deploy insights to Android and iOS devices. The SAP S/4 HANA integration also enables the rolling out of changes to multiple files and devices from a central location, so you can carry your business operations on the go over a secured cloud network.
In-memory technology: Since it is based on SAP HANA in-memory technology, SAP Analytics Cloud can process massive amounts of data in a short time.

Reviews from Real Users

Segun O., SAP HANA Developer at SOA PEOPLE, says that "The most valuable features are on the application side, where you can design applications into your analytics on the platform."

The Head of Finance Enterprise Application at a computer software company adds that "The visualization feature is the most valuable. SAP Analytics Cloud is also very easy to use."

"Its many features make it the best in the market," sums up a Consultor SAP Business Object, Sap Analytics Cloud at a tech services company.

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

Live Oak Bank

Netflix

SAP Analytics Cloud vs. Teradata