SQL Server and Teradata compete in the database and data warehousing industry. Based on feature richness and scalability, SQL Server offers robust flexibility while Teradata excels with its performance in handling large datasets.
Features: SQL Server provides dynamic resource allocation, graphical query analyzer, and OLAP services. It is versatile in database types and supported by a strong Microsoft community, making it suitable for organizations of all sizes. Teradata shines with its massive parallel processing capabilities and efficient performance in analytics, making it ideal for handling large data volumes. Its extensive data warehousing tools facilitate complex analytical queries.
Room for Improvement: SQL Server needs better scalability for large environments, cost management, and enhanced replication and integration capabilities. Teradata can improve cost-effectiveness, support for unstructured data, and further develop its cloud integration strategy to match market trends.
Ease of Deployment and Customer Service: SQL Server is flexible across private, hybrid, and public clouds but has average customer service with sometimes slow support. Teradata supports high-performance environments with reliable service but is criticized for expensive customer support and complex deployment.
Pricing and ROI: SQL Server is cost-effective for various applications with lower costs compared to some competitors, despite its complex licensing. It offers good ROI for smaller applications. Teradata, while having a higher price point, offers significant returns for enterprises requiring robust data processing, particularly for large-scale data analytics.
All applications need our repository to provide services for our online business or our customers, so the return is good.
The technical support from Teradata is quite advanced.
Customer support is very good, rated eight out of ten under our essential agreement.
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.
I would appreciate using Microsoft Pro as it can integrate with Excel or, with a simple query, consume information from the database using Microsoft Excel.
Unlike SQL and Oracle, which have in-built replication capabilities, we don't have similar functionality with Teradata.
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.
I have been working with SQL Server for a long time, and it works well for me as I am using it in different applications, such as web applications, Windows applications, or the data warehouse reporting.
The data mover is valuable over the last two years as it allows us to achieve data replication to our disaster recovery systems.
SQL Server is a relational database management system (RDBMS) by Microsoft. The product's main purposes are to store data and retrieve it as requested by other software applications - on the same computer or on another computer across a shared network. The solution is built on top of Structured Query Language (SQL), which is a standardized programming language used for relational database management.
The product is tied to Transact-SQL (T-SQL), which is an implementation of SQL from Microsoft that adds several proprietary programming extensions to the standard language. SQL Server is built similarly to other RDBMS products, as its structure is a row-based table that connects related data elements in different tables to one another. One of its most important components is the SQL Server Database Engine, as it controls data processing, storage, and security. Beneath the Database Engine is the SQL Server Operating System, which is used for memory and I/O management, locking data to avoid unneeded upgrades, and job scheduling.
The solution has four editions with different sets of services and tools. They include:
The first two are available for free and are typically utilized by smaller companies, as they work with fewer functions and storage. The second two editions are generally used by bigger organizations and enterprises and offer more features.
The solution has several functions through which users can facilitate different data-related processes. These include:
SQL Server Services
SQL Server has a wide range of add-on services that provide additional benefits beyond database management. These services include:
SQL Server Benefits
The solution has many benefits for users. These include the following:
Reviews from Real Users
A president at a consultancy evaluates SQL Server as a veteran solution with critical log shipping feature.
Harkamal S., a user at a manufacturing company, rates SQL Server with a high mark because it is a stable, scalable, and easy-to-deploy solution that pretty much covers everything.
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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