Teradata and SAP Analytics Cloud compete in the analytics sector, each offering unique advantages. Teradata seems to hold the upper hand in terms of speed and data processing capabilities, whereas SAP Analytics Cloud excels in visualization and integration.
Features: Teradata is noted for its speed due to its MPP architecture, enabling efficient processing of large datasets. Its features like in-database data mining and geospatial analytics are well-regarded. Scalability and robust security further enhance its appeal. SAP Analytics Cloud stands out with its advanced visualization tools and user-friendly interface. Predictive analytics and seamless integration with SAP platforms empower users to produce insightful reports effectively.
Room for Improvement: Teradata's high pricing and certain scalability challenges in handling multi-petabyte data are notable drawbacks. Additionally, users seek better unstructured data handling and increased integration with big data platforms. SAP Analytics Cloud faces criticism over its high cost and limited connectivity with non-SAP systems. There is a demand for more comprehensive visualization options and improved functionalities in the planning module.
Ease of Deployment and Customer Service: Teradata provides flexible deployment options, excelling in on-premises settings with generally responsive technical support. However, some users highlight the need for quicker support services. SAP Analytics Cloud is optimized for cloud deployment, offering extensive support options but suggests a robust integration with existing SAP systems for smoother deployment in diverse non-SAP environments.
Pricing and ROI: Both Teradata and SAP Analytics Cloud are positioned as premium solutions, generating concerns about cost. Teradata's robust performance in data-heavy environments can deliver substantial ROI, although its high price may deter smaller entities. SAP Analytics Cloud's subscription model can become costly as functionalities expand, yet it offers value through integration and features that enhance business insights.
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%.
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.
Customer support is very good, rated eight out of ten under our essential agreement.
The technical support from Teradata is quite advanced.
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.
Teradata's scalability is great; it's been awesome.
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.
If Teradata could provide a list of certified experts, that would be fantastic.
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.
We spent roughly $295,000 on setup costs.
For SuccessFactors and S/4HANA Cloud, there are pre-built reports available which are commonly used by customers.
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.
The data mover is valuable over the last two years as it allows us to achieve data replication to our disaster recovery systems.
| Product | Market Share (%) |
|---|---|
| SAP Analytics Cloud | 3.1% |
| Teradata | 0.7% |
| Other | 96.2% |
| Company Size | Count |
|---|---|
| Small Business | 23 |
| Midsize Enterprise | 13 |
| Large Enterprise | 39 |
| Company Size | Count |
|---|---|
| Small Business | 26 |
| Midsize Enterprise | 12 |
| Large Enterprise | 49 |
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?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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