Teradata and SAP HANA compete in the data management and analytics sector. Teradata's massive parallel processing and data warehousing capabilities seem to give it an upper hand for large analytical tasks, while SAP HANA's in-memory processing provides an edge for real-time analytics.
Features: Teradata stands out with its massively parallel processing architecture, robust data warehousing, and query tuning capabilities. It's designed for handling large analytical queries with efficiency. SAP HANA leverages in-memory computing to enhance real-time analytics performance, offering integration flexibility and speed in processing data.
Room for Improvement: Teradata could enhance cloud compatibility, improve support for unstructured data, and reduce licensing costs. SAP HANA users suggest better integration with third-party tools, a more intuitive user interface, and improved memory management features.
Ease of Deployment and Customer Service: Teradata favors on-premise setups with noted technical support, though assistance could be faster. SAP HANA supports hybrid environments but faces complexity in customer interactions, focusing on flexible hybrid deployments.
Pricing and ROI: Both Teradata and SAP HANA are high-cost solutions, delivering strong performance and analytics capabilities. Teradata offers significant value for large enterprises, while SAP HANA appeals to businesses that can utilize its real-time processing and integration benefits. Careful cost-to-benefit analysis is essential for investment in either solution.
We do not feel we're getting value for the investment due to the additional resources needed for integration and maintenance.
While issues are resolved eventually, the first level of support is not as good as we would like.
The support is lacking and not worth the premium price.
The technical support from Teradata is quite advanced.
Customer support is very good, rated eight out of ten under our essential agreement.
Our operations have grown from a hundred data operations a day to as many in a couple of seconds.
There is enough scalability offered by SAP to meet our deployment needs.
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.
We have not had any problems in the last seven to eight years.
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.
Unlike SQL and Oracle, which have in-built replication capabilities, we don't have similar functionality with Teradata.
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.
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.
The concept enhances speed, allowing the database to serve and move data quickly.
This architecture allows for faster data processing and real-time analytics that were not possible with traditional databases.
The data mover is valuable over the last two years as it allows us to achieve data replication to our disaster recovery systems.
SAP HANA, also known as SAP High-performance Analytics Appliance, is a multi-model database that stores data in its memory, allowing users to avoid disk storage. The product combines its robust database with services for creating applications. SAP HANA is faster than other database management systems (DBMS) because it stores data in column-based tables in main memory and brings online analytical processing (OLAP) and online transaction processing (OLTP) together.
The column-oriented in-memory database design allows users to run high-speed transactions alongside advanced analytics, all in a single system. This provides companies with the ability to process very large amounts of data with low latency and query data in an instant. By combining multiple data management capabilities, the solution simplifies IT, helps businesses with innovations, and facilitates digital transformation.
The solution is structured into five groups of capabilities, categorized as:
There are three more SAP products that work alongside SAP HANA and complete the experience for users together. SAP S/4HANA Cloud is a ready-to-run cloud enterprise resource planning (ERP). SAP BW/4HANA is a packaged data warehouse, based on SAP HANA, which allows users to consolidate data across the enterprise to get a consistent view of their data. Finally, SAP Cloud is a single database as a service (DBaaS) foundation for modern applications and analytics across all enterprise data. All three products can combine with SAP HANA to deliver to users an optimized experience regarding their data.
SAP HANA Features
Each architectural group of capabilities of SAP HANA has various features that users can benefit from. These include:
SAP HANA Benefits
SAP HANA provides many benefits for its users. These include:
Reviews from Real Users
According to a database consultant at a pharma/biotech company, SAP HANA is a very robust solution with good data access.
Bruno V., owner at LAVORO AUTOM INF E COM LTDA, likes SAP HANA because the product offers advanced features, helps reduce hours, and makes it easy to find what you need.
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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