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RootDB VS SQL Server 2017

Compare RootDB VS SQL Server 2017 and see what are their differences

RootDB logo RootDB

An open source self-hosted webapp allowing you to make reports using the full power of the SQL language.

SQL Server 2017 logo SQL Server 2017

Jul 1, 2017 - Learn about tools and services for mobile and paginated Reporting Services reports and Power BI reports on premises.
Not present
  • SQL Server 2017 Landing page
    Landing page //
    2021-09-20

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 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 videos

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SQL Server 2017 videos

SQL Server 2017 – Everything you need to know

More videos:

  • Review - SQL Server 2017 Features

Category Popularity

0-100% (relative to RootDB and SQL Server 2017)
Data Visualization
43 43%
57% 57
Data Dashboard
40 40%
60% 60
Business Intelligence
44 44%
56% 56
Monitoring Tools
100 100%
0% 0

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What are some alternatives?

When comparing RootDB and SQL Server 2017, you can also consider the following products

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Pentaho - Pentaho is a Business Intelligence software company that offers Pentaho Business Analytics, a suite...

Apache Superset - modern, enterprise-ready business intelligence web application