

Teradata and SAP Analytics Cloud compete in the field of data analytics and business intelligence. Teradata appears to have an edge in robust performance and scalability, while SAP Analytics Cloud excels in ease of use and integration.
Features: Teradata offers exceptional performance with massive parallel processing, scalability, and efficient workload management. Its architecture supports advanced analytics such as virtual OLAP, geospatial and temporal analysis. It also provides strong security through its shared-nothing architecture. SAP Analytics Cloud is recognized for its advanced visualization capabilities and ease of use. It integrates seamlessly with third-party applications and offers advanced predictive analytics and AI within a cloud-based architecture.
Room for Improvement: Teradata needs to enhance its cloud offerings and simplify its user interface. Improving unstructured data handling and expanding integration with cloud platforms is necessary. SAP Analytics Cloud could benefit from improved data visualization and better integration with non-SAP systems. Reducing pricing barriers and enhancing third-party connectivity are also suggested improvements.
Ease of Deployment and Customer Service: Teradata offers flexible deployment options, including on-premises, hybrid, and public cloud, but needs to improve cloud service transition. Its customer service receives mixed reviews. SAP Analytics Cloud is cloud-based, streamlining integration but requiring good internet infrastructure; its customer support is generally positive with occasional pricing concerns.
Pricing and ROI: Teradata is often viewed as costly, with high ROI justified by performance returns and efficiency gains. SAP Analytics Cloud is also considered expensive, particularly for advanced features, but offers cost-effectiveness through its subscription model and integration with SAP products, enhancing users' ROI.
At least fifteen to twenty percent of our time has been saved using Teradata, which has positively affected team productivity and business outcomes.
Independent research showed that Teradata VantageCloud users achieved an average ROI of 427% across three years with payback under a year, demonstrating the platform's ability to deliver a strong financial return.
We have realized a return on investment, with a reduction of staff from 27 to eight, and our current return on investment is approximately 14%.
The technical support is a very well-organized service, with a lot of tools for me as a consultant and for the end user on how to contact SAP support and get issues solved.
We are satisfied with the technical support from SAP because when we reached out, we were able to get very good support from SAP colleagues.
I am satisfied with SAP's technical support team; they provide very good support.
The customer support for Teradata has been great.
They are responsive and knowledgeable, and the documentation is very helpful.
Customer support is very good, rated eight out of ten under our essential agreement.
SAP Analytics Cloud can be used by a small company, and it can be used by a large corporate.
I would rate its scalability up to nine on a scale of one to ten.
Whenever we need more resources, we can add that in Teradata, and when not needed, we can scale it down as well.
This flexibility allows organizations to scale according to their needs, balancing performance, cost, and compliance requirements.
This expansion can occur without incurring downtime or taking systems offline.
You have a chance to test it on your test tenant in small increments, so it should not break your productive reports and productive environment.
Its massively parallel process architecture allows the platform to distribute workload efficiently, enabling organizations to run heavy analytic queries without compromising speed or stability.
I find the stability to be almost a ten out of ten.
The workload management and software maturity provide a reliable system.
On the other hand, it is perfectly fitting to the SAP environment, with seamless integration to all SAP modules, not only ERP but also SuccessFactors and other tools from the SAP family.
Documentation-wise, we see some gaps when trying to connect different solutions.
I want to highlight two features for improvement: first, storing data in various formats without requiring a tabular structure, accommodating unstructured data; and second, adding AI ML features to better integrate Gen AI, LLM concepts, and user-friendly experiences such as text-to-SQL capabilities.
Unlike SQL and Oracle, which have in-built replication capabilities, we don't have similar functionality with Teradata.
The most challenging aspect is finding Teradata resources, so we are focusing on internal training and looking for more Teradata experts.
Teradata is much more expensive than SQL, which is well-performed and cheaper.
Initially, it may seem expensive compared to similar cloud databases, however, it offers significant value in performance, stability, and overall output once in use.
Role-based access control (RBAC), strong audit and compliance features, high availability, fault tolerance, and encrypted data at rest and in-transit are key features.
For SuccessFactors and S/4HANA Cloud, there are pre-built reports available which are commonly used by customers.
The capabilities of SAP Analytics Cloud that I consider the most valuable are that all three functionalities are in one tool.
Teradata's security helps our organization meet compliance requirements such as GDPR and IFRS, and it is particularly essential for revenue contracting or revenue recognition.
Its architecture allows information to be processed efficiently while maintaining stable performance, even in highly demanding environments.
It facilitates data integration, where we integrate and analyze data from various sources, making it a powerful and high-quality reliable solution for the company.
| Product | Market Share (%) |
|---|---|
| SAP Analytics Cloud | 2.2% |
| Teradata | 0.9% |
| Other | 96.9% |

| Company Size | Count |
|---|---|
| Small Business | 24 |
| Midsize Enterprise | 13 |
| Large Enterprise | 39 |
| Company Size | Count |
|---|---|
| Small Business | 28 |
| Midsize Enterprise | 13 |
| Large Enterprise | 52 |
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
SAP Analytics Cloud Key Features
SAP Analytics Cloud Benefits
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.
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?
What benefits and ROI do users look for?
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.
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