SQL Server 2017

Website

microsoft.com

Categories

#Business Intelligence #Data Dashboard #Data Visualization #Analytics Dashboard

Valentina

Website

valentina-db.com

Categories

#Design Tools #Business Intelligence #Data Dashboard #3D

SQL Server 2017 features and specs

• Cross-Platform Support
  SQL Server 2017 offers cross-platform support, enabling it to run on Windows, Linux, and Docker containers, providing flexibility and integration into various environments.
• Graph Database Capabilities
  Introduces graph database capabilities, allowing the modeling of complex data relationships easily and efficiently, expanding its use cases.
• Advanced Analytics
  Integrates with Microsoft R and Python services, facilitating advanced analytics and machine learning directly within the database, which helps organizations to perform sophisticated data analysis.
• Adaptive Query Processing
  Includes adaptive query processing features to optimize query performance automatically, improving application speed and efficiency.
• Enhanced Security
  SQL Server 2017 continues to enhance security with features like Always Encrypted, Dynamic Data Masking, and Row-Level Security to protect sensitive data.

Possible disadvantages of SQL Server 2017

• Cost
  Licensing and support costs for SQL Server can be relatively high, particularly for enterprise editions, which may not be cost-effective for smaller organizations.
• Complexity
  SQL Server 2017 includes a vast array of features and configurations that can introduce complexity, requiring substantial expertise to manage and optimize.
• Resource Intensive
  Requires significant system resources for optimal performance, which may necessitate additional investment in hardware to operate efficiently at scale.
• Limited NoSQL Functionality
  While SQL Server 2017 introduces some NoSQL features through its support for JSON and graph databases, it still lags behind dedicated NoSQL databases in terms of flexibility and scalability for unstructured data.
• Version-Specific Features
  Some advanced features are only available in the latest versions or specific editions, which may necessitate upgrades or specific licensing to access the full capabilities, leading to additional expenses.

Valentina features and specs

• Performance
  Valentina is known for its high-performance architecture, which can handle large datasets efficiently, making it suitable for applications that require fast data processing.
• Cross-platform
  Valentina supports multiple operating systems, including Windows, macOS, and Linux, allowing for flexibility in deployment across different environments.
• Feature-rich
  The database system offers a wide range of features such as advanced query capabilities, reporting tools, and support for multiple database models, including both relational and object-relational.
• Integration
  Valentina integrates well with various development environments and supports different programming languages, which makes it accessible for developers working with diverse tech stacks.
• Scalability
  It can scale well to accommodate growing data size and user requests, making it a viable option for expanding businesses and applications.

Possible disadvantages of Valentina

• Complexity
  The extensive features and capabilities can make Valentina complex to set up and manage for users who are not familiar with intricate database systems.
• Community Support
  Compared to more mainstream databases like MySQL or PostgreSQL, Valentina might have a smaller community and fewer resources, which can be a disadvantage when troubleshooting or seeking advice.
• Learning Curve
  Due to its advanced features, new users may face a steep learning curve to fully understand and effectively utilize the database system.
• Cost
  While Valentina offers a free version, accessing the complete set of features and capabilities might require purchasing a license, which can be a consideration for budget-constrained projects.

SQL Server 2017 – Everything you need to know

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