Teradata and SAP Analytics Cloud compete in the data analytics and warehousing domain. Teradata holds an edge for large-scale data processing, while SAP Analytics Cloud shines in integration and ease of use.
Features: Teradata is known for its robust parallel processing and "shared nothing" architecture, enhancing scalability and performance. Its workload management and security features are highly regarded. SAP Analytics Cloud excels with its user-friendly dashboard features and cloud-based predictive analytics. Its strong integration with SAP tools and AI functions makes it ideal for business intelligence.
Room for Improvement: Teradata faces challenges with high costs and limited support for unstructured data. There is also a need for improved cloud capabilities and easier integration with non-Teradata tools. Users suggest better handling of concurrent queries and more user-friendly interfaces. SAP Analytics Cloud needs improved visualization customization, speed, and integration with non-SAP systems. A call for flexible pricing and enhanced predictive features is also noted.
Ease of Deployment and Customer Service: Teradata is flexible with deployment, supporting on-premises and hybrid models, though users note a steep learning curve and cost. Its customer service is praised but considered pricey. SAP Analytics Cloud offers quick deployment due to its cloud-based nature, yet has limitations for some on-premises needs. It provides efficient, responsive support.
Pricing and ROI: Teradata is viewed as expensive but justifiable for its performance in large-scale data warehousing, with reports of positive ROI in analytics-heavy scenarios. SAP Analytics Cloud, also costly, is valued for its comprehensive feature set and seamless SAP integration, enhancing business efficiency despite a higher entry cost. Both are seen as premium solutions, with their value dependent on specific business needs and infrastructure.
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 technical support from Teradata is quite advanced.
Customer support is very good, rated eight out of ten under our essential agreement.
I would rate its scalability up to nine on a scale of one to ten.
This expansion can occur without incurring downtime or taking systems offline.
Scalability is complex as you need to purchase a license and coordinate with Teradata for additional disk space and CPU.
I find the stability to be almost a ten out of ten.
The workload management and software maturity provide a reliable system.
Documentation-wise, we see some gaps when trying to connect different solutions.
Unlike SQL and Oracle, which have in-built replication capabilities, we don't have similar functionality with Teradata.
Initially, it may seem expensive compared to similar cloud databases, however, it offers significant value in performance, stability, and overall output once in use.
Teradata is much more expensive than SQL, which is well-performed and cheaper.
For SuccessFactors and S/4HANA Cloud, there are pre-built reports available which are commonly used by customers.
The data mover is valuable over the last two years as it allows us to achieve data replication to our disaster recovery systems.
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 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?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.
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