SQL Server and VMware Tanzu Data Solutions compete in the database management and analytics segment. SQL Server seems to have an edge with its extensive online support resources and straightforward installation, though VMware Tanzu Data Solutions offers notable scalability and customer service.
Features: SQL Server offers dynamic resource allocation, OLAP services, and robust tooling that enhance performance and management. It also supports virtualization and has a wide array of online resources. VMware Tanzu Data Solutions shines with its proficiency in parallel processing and scalability, making it ideal for big data environments. Its MPP architecture and open-source advantage provide flexibility and powerful analytics.
Room for Improvement: SQL Server is criticized for high costs, limited platform compatibility, and complex licensing processes. Enhancement is needed in Linux support, and a more user-friendly interface is desired. VMware Tanzu Data Solutions can improve its monitoring, administrative tools, and integration capabilities. Documentation and setup processes also require refinement to better compete with newer technologies.
Ease of Deployment and Customer Service: SQL Server is recognized for easy installation across hybrid and on-premises environments with broad online support but could improve response times in customer service. VMware Tanzu Data Solutions allows deployments across varied environments and is noted for superior customer service, indicating a better support experience than SQL Server.
Pricing and ROI: SQL Server delivers strong performance but has a higher cost, particularly for enterprise licenses, though users find the investment worthwhile given its extensive features. VMware Tanzu Data Solutions, benefiting from open-source elements, presents a cost-effective alternative with competitive licensing and satisfactory ROI, especially for large-scale data operations that can lead to substantial cost savings over time.
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.
VMware Tanzu is a robust platform tailored for data warehousing, complex analytics, BI applications, and predictive analytics. It excels in scalability, performance, and parallel processing, enhancing data handling efficiency. Users report significant productivity improvements and streamlined operations, making it ideal for comprehensive data solutions.
We monitor all Relational Databases Tools reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.