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  5. Microsoft SQL Server vs OpenLink Virtuoso

Microsoft SQL Server vs OpenLink Virtuoso

OverviewDecisionsComparisonAlternatives

Overview

Microsoft SQL Server
Microsoft SQL Server
Stacks21.3K
Followers15.5K
Votes540
OpenLink Virtuoso
OpenLink Virtuoso
Stacks3
Followers6
Votes0

Microsoft SQL Server vs OpenLink Virtuoso: What are the differences?

Key Differences between Microsoft SQL Server and OpenLink Virtuoso

  1. Licensing Model: Microsoft SQL Server follows a traditional licensing model where users need to purchase licenses based on the number of cores or users, while OpenLink Virtuoso is available under an open-source license, allowing users to use the software for free without any licensing fees.

  2. Support for RDF Data: OpenLink Virtuoso has built-in support for RDF (Resource Description Framework) data, making it ideal for managing and querying linked data, semantic web, and ontologies. In contrast, Microsoft SQL Server requires additional tools or plugins to support RDF data.

  3. Integration with External Data Sources: OpenLink Virtuoso offers seamless integration with external data sources, including relational databases, XML, JSON, and web services, through its Virtual Database feature. Microsoft SQL Server provides integration capabilities, but it may require more configurations and custom coding compared to Virtuoso.

  4. Native Multi-model Support: OpenLink Virtuoso is a multi-model database that supports various data models like relational, graph, document, and key-value data, providing flexibility in data modeling and querying. On the other hand, Microsoft SQL Server primarily focuses on relational data modeling, with limited support for other data models like graph or document.

  5. Deployment Flexibility: OpenLink Virtuoso can be deployed on-premises, in the cloud, or as a hybrid solution, giving users the flexibility to choose the deployment option that best suits their needs. In comparison, Microsoft SQL Server offers on-premises deployment by default, with cloud deployment options available through Azure SQL Database.

  6. Scalability Options: OpenLink Virtuoso has better scalability options compared to Microsoft SQL Server, supporting a higher volume of data and user concurrency due to its native sharding and clustering capabilities, making it suitable for large-scale enterprise applications.

In Summary, Microsoft SQL Server and OpenLink Virtuoso differ in terms of licensing model, support for RDF data, integration with external sources, data modeling flexibility, deployment options, and scalability capabilities.

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Advice on Microsoft SQL Server, OpenLink Virtuoso

Erin
Erin

IT Specialist

Mar 10, 2020

Needs adviceonMicrosoft SQL ServerMicrosoft SQL ServerMySQLMySQLPostgreSQLPostgreSQL

I am a Microsoft SQL Server programmer who is a bit out of practice. I have been asked to assist on a new project. The overall purpose is to organize a large number of recordings so that they can be searched. I have an enormous music library but my songs are several hours long. I need to include things like time, date and location of the recording. I don't have a problem with the general database design. I have two primary questions:

  1. I need to use either @{MySQL}|tool:1025| or @{PostgreSQL}|tool:1028| on a @{Linux}|tool:10483| based OS. Which would be better for this application?
  2. I have not dealt with a sound based data type before. How do I store that and put it in a table? Thank you.
668k views668k
Comments

Detailed Comparison

Microsoft SQL Server
Microsoft SQL Server
OpenLink Virtuoso
OpenLink Virtuoso

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

It is the first cross-platform Universal Server to implement Web, File, and Database server functionality alongside Native XML Storage, and Universal Data Access Middleware, as a single server solution.

-
Virtualization of ODBC- and/or JDBC-accessible Disparate Data Sources; Virtualization of Storage Services across Dropbox, OneDrive, Google Drive, Box, Amazon S3, Rackspace etc; Supports SQL and/or SPARQL query access from ODBC, JDBC, ADO.NET, or OLE DB compliant apps and services; Blistering Performance and Scalability as demonstrated by DBpedia and a majority of the nodes in the massive Linked Open Data Cloud (or KnowledgeGraph); Built-in and Custom Reasoning & Inference Capability that's critical for modern AI and Digital Transformation initiatives; Attributed-based Access Controls for ultra flexible security and data privacy; Open Standards compliant interfaces for client and server interaction entry points; Use of Hyperlinks as Super Keys for constructing powerful Knowledge Graphs that manifest as a Semantic Web of Linked Data
Statistics
Stacks
21.3K
Stacks
3
Followers
15.5K
Followers
6
Votes
540
Votes
0
Pros & Cons
Pros
  • 139
    Reliable and easy to use
  • 101
    High performance
  • 95
    Great with .net
  • 65
    Works well with .net
  • 56
    Easy to maintain
Cons
  • 4
    Expensive Licensing
  • 2
    Microsoft
  • 1
    Replication can loose the data
  • 1
    Allwayon can loose data in asycronious mode
  • 1
    The maximum number of connections is only 14000 connect
No community feedback yet
Integrations
No integrations available
Oracle
Oracle
Linux
Linux
FreeBSD
FreeBSD
Mac OS X
Mac OS X
Windows
Windows
IBM Informix
IBM Informix

What are some alternatives to Microsoft SQL Server, OpenLink Virtuoso?

MongoDB

MongoDB

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

MySQL

MySQL

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

PostgreSQL

PostgreSQL

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

SQLite

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Cassandra

Cassandra

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

Memcached

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

MariaDB

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

RethinkDB

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

ArangoDB

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

InfluxDB

InfluxDB

InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.

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