

Teradata and SAP HANA compete in the enterprise data warehousing and analytics category. Teradata appears to have the upper hand with its parallel processing and scalability, while SAP HANA is favored for its in-memory processing, offering faster data analytics.
Features: Teradata excels in parallel processing, scalability, and complex query execution, offering robust data integration for large data environments. SAP HANA is noted for in-memory processing, real-time analytics, and strong integration with various systems, making it a top choice for quick data analysis.
Room for Improvement: Teradata could improve cloud integration, unstructured data support, and ease of scaling. Users highlight its expense and complexity. SAP HANA users suggest reducing costs, simplifying setup, and enhancing integration with third-party tools for broader accessibility.
Ease of Deployment and Customer Service: Teradata offers flexible deployment options like on-premises, hybrid, and cloud but is considered costly and complex. Users appreciate customer service but mention response time improvements. SAP HANA similarly provides flexible deployment but at a high cost, with complex setups noted; while customer service is positive, users seek faster and more effective support.
Pricing and ROI: Teradata's premium pricing correlates with its high ROI for large enterprises, offering pay-as-you-go models. It remains expensive for smaller businesses. SAP HANA is also costly, perceived as providing value for its processing power, offering strong ROI for businesses maximizing its functionalities.
We do not feel we're getting value for the investment due to the additional resources needed for integration and maintenance.
I have seen a return on investment with SAP HANA as it typically delivers measurable ROI, especially in finance and month-end close processes.
SAP HANA is a cost-saving solution that helps save money and serves as a time-saving solution that helps save time.
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 community support is better than the official SAP support.
While issues are resolved eventually, the first level of support is not as good as we would like.
When we raise a ticket for AWS or Azure issues, we find their support is very proactive, while SAP's support is quite passive.
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 HANA handles large data volumes efficiently, allowing for adding more modules or users without performance issues.
Our operations have grown from a hundred data operations a day to as many in a couple of seconds.
It depends on what needs to change in the structure, as some entities cannot be changed and require a new implementation, while others can be modified.
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.
We recently faced customer data loss during the cluster handover or failover fallback.
We have not had any problems in the last seven to eight years.
Regarding stability, they are using legacy systems and have implemented SAP HANA.
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.
The main issue is the ecosystem, which lacks the widespread support that SQL enjoys.
The setup process and deployment process for SAP HANA is complex.
Licensing costs with SAP HANA are very high.
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.
It's a recurring subscription model, which is expensive compared to legacy systems with just a maintenance fee.
SAP is not a cheap company, and its licenses are expensive.
I would rate the price for SAP HANA as high.
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.
This architecture allows for faster data processing and real-time analytics that were not possible with traditional databases.
The concept enhances speed, allowing the database to serve and move data quickly.
One of our dashboards using Excelsius was previously developed on normal BW on Oracle data, which took 10 minutes to open. After developing the same calculation views using those tables and replacing them with calculation views in Excelsius, the dashboard opened in seconds.
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 | Mindshare (%) |
|---|---|
| SAP HANA | 5.9% |
| Teradata | 4.1% |
| Other | 90.0% |

| Company Size | Count |
|---|---|
| Small Business | 26 |
| Midsize Enterprise | 12 |
| Large Enterprise | 62 |
| Company Size | Count |
|---|---|
| Small Business | 28 |
| Midsize Enterprise | 13 |
| Large Enterprise | 52 |
SAP HANA is a high-speed in-memory data platform providing real-time analytics and quick data retrieval while supporting enterprise scalability and integration.
Designed for efficient data processing, SAP HANA offers robust security, ease of use, and advanced analytics through an architecture that ensures flexibility and stability. This allows seamless integration with third-party systems, significantly improving data management and decision-making capabilities. Enterprises benefit from data modeling, compression, comprehensive dashboards, and real-time insights. However, users have noted high costs, speed, and scalability issues, as well as complexity in interface and customizations. There's also a need for better integration with third-party tools, clearer documentation, and enhanced connectivity with Java and other platforms.
What are the key features of SAP HANA?SAP HANA is deployed for enterprise resource planning across industries, notably in finance, HR, and sales. It supports real-time analytics, business intelligence, and integrates with SAP ERP and S/4HANA, offering tailored solutions for sectors like supply chain management, CRM, procurement, and financial analysis.
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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