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Microsoft SQL VS Ontotext Graph DB

Compare Microsoft SQL VS Ontotext Graph DB and see what are their differences

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  3. » Reviews
  4. » Alternatives

Microsoft SQL logo Microsoft SQL

Microsoft SQL is a best in class relational database management software that facilitates the database server to provide you a primary function to store and retrieve data.

Ontotext Graph DB logo Ontotext Graph DB

Graph DB is a semantic graph database that serves organizations to store, organize and manage content.
  • Microsoft SQL Landing page
    Landing page //
    2023-01-26
  • Ontotext Graph DB Landing page
    Landing page //
    2023-10-01

Microsoft SQL features and specs

  • Comprehensive Feature Set
    SQL Server offers a wide range of features including advanced analytics, in-memory capabilities, robust security measures, and integration services.
  • High Performance
    With in-memory OLTP and support for persistent memory technologies, SQL Server provides high transaction and query performance.
  • Scalability
    SQL Server can scale from small installations on single machines to large, data-intensive applications requiring high throughput and storage.
  • Security
    SQL Server offers advanced security features like encryption, dynamic data masking, and advanced threat protection, ensuring data safety and compliance.
  • Integrations
    It easily integrates with other Microsoft products such as Azure, Power BI, and Active Directory, providing a cohesive ecosystem for enterprise solutions.
  • Developer Friendly
    It supports a wide range of development tools and languages including .NET, Python, Java, and more, making it highly versatile for developers.
  • High Availability
    Features like Always On availability groups and failover clustering provide high availability and disaster recovery options for critical applications.

Possible disadvantages of Microsoft SQL

  • Cost
    SQL Server can be expensive, particularly for the Enterprise edition. Licensing costs can add up quickly depending on the features and scale required.
  • Complexity
    Due to its comprehensive feature set, SQL Server can be complex to configure and manage, requiring skilled administrators and developers.
  • Resource Intensive
    SQL Server can be resource-intensive, requiring substantial hardware resources for optimal performance, which can increase overall operational costs.
  • Windows-Centric
    While SQL Server can run on Linux, it is primarily optimized for and tightly integrated with the Windows ecosystem, which may not suit all organizations.
  • Vendor Lock-In
    Being a proprietary solution, it can cause vendor lock-in, making it challenging to switch to alternative database systems without significant migration efforts.

Ontotext Graph DB features and specs

No features have been listed yet.

Microsoft SQL videos

+ Add

3.1 Microsoft SQL Server Review

More videos:

  • Review - What is Microsoft SQL Server?
  • Review - Querying Microsoft SQL Server (T-SQL) | Udemy Instructor, Phillip Burton [bestseller]

Ontotext Graph DB videos

No Ontotext Graph DB videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to Microsoft SQL and Ontotext Graph DB)

Microsoft SQL

Ontotext Graph DB

Databases
95 95%
Databases
5% 5
NoSQL Databases
0 0%
NoSQL Databases
100% 100
Relational Databases
100 100%
Relational Databases
0% 0
Graph Databases
0 0%
Graph Databases
100% 100

User comments

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What are some alternatives?

When comparing Microsoft SQL and Ontotext Graph DB, you can also consider the following products

MySQL - The world's most popular open source database

neo4j - Meet Neo4j: The graph database platform powering today's mission-critical enterprise applications, including artificial intelligence, fraud detection and recommendations.

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

JanusGraph - JanusGraph is a scalable graph database optimized for storing and querying graphs.

SQLite - SQLite Home Page

Amazon Neptune - Amazon Neptune is a fully managed graph database service that works with highly connected datasets. Learn about the benefits and popular use cases.

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