SQL Server 2017

Website

microsoft.com

Pricing URL

-

Listed in

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

RootDB

Website

rootdb.fr

Pricing URL

Official RootDB Pricing

Listed in

#Data Dashboard #Data Visualization #Business Intelligence #Monitoring Tools

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.

RootDB features and specs

• User-Friendly Interface
  RootDB offers a streamlined and intuitive user interface, making it accessible for users with varying levels of technical expertise.
• Scalability
  The platform is designed to handle growing volumes of data efficiently, which is crucial for businesses anticipating future growth.
• Robust Security Features
  RootDB implements strong security measures to protect user data, including encryption and multi-factor authentication.
• Comprehensive Support
  Users have access to reliable customer support and thorough documentation, ensuring they can quickly resolve any issues they encounter.

Possible disadvantages of RootDB

• Cost
  For some users, the pricing structure of RootDB may be on the higher end, especially for startups or small businesses.
• Customization Limitations
  While the platform offers various features, there may be limited options for customization to meet specific business needs.
• Learning Curve
  New users might experience a learning curve when getting accustomed to certain advanced features of RootDB.
• Integration Challenges
  Users may face difficulties integrating RootDB with some existing legacy systems or third-party applications.

SQL Server 2017 – Everything you need to know

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