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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. ArangoDB vs OpenLink Virtuoso

ArangoDB vs OpenLink Virtuoso

OverviewComparisonAlternatives

Overview

ArangoDB
ArangoDB
Stacks273
Followers442
Votes192
OpenLink Virtuoso
OpenLink Virtuoso
Stacks3
Followers6
Votes0

ArangoDB vs OpenLink Virtuoso: What are the differences?

<ArangoDB and OpenLink Virtuoso are two powerful database management systems that cater to different needs and requirements. ArangoDB is a multi-model database system that allows for flexible data modeling and querying, while OpenLink Virtuoso is an enterprise-grade triplestore and graph database system designed for handling large volumes of linked data.>

  1. Data Model: ArangoDB supports multiple data models including key/value, document, and graph models, allowing for versatile data storage and retrieval capabilities. On the other hand, OpenLink Virtuoso is designed specifically for storing and managing linked data in RDF format, making it a powerful choice for applications that heavily rely on graph data structures.

  2. Scaling: ArangoDB has built-in sharding and replication features that make it easy to scale horizontally by distributing data across multiple nodes. In contrast, OpenLink Virtuoso offers clustering capabilities for high availability and load balancing, but scaling can be more complex compared to ArangoDB's straightforward approach.

  3. Query Language: ArangoDB uses its own query language called AQL (ArangoDB Query Language) which is SQL-like and allows for querying across multiple data models. OpenLink Virtuoso, on the other hand, supports SPARQL for querying RDF data, which is specifically designed for querying graph data and linked datasets.

  4. Community Support: ArangoDB has a vibrant open-source community that actively contributes to the development and improvement of the system, providing a wealth of resources and support for users. OpenLink Virtuoso also has a community edition available, but it may lack the same level of community support and resources as ArangoDB.

  5. Use Cases: ArangoDB is well-suited for applications that require flexible data modeling and the ability to work with multiple data models within the same database system. OpenLink Virtuoso, on the other hand, is ideal for applications that deal with linked data, RDF data formats, and complex graph structures, making it a popular choice for semantic web applications and knowledge graphs.

In Summary, ArangoDB is a multi-model database system with versatile data modeling capabilities and a strong community support, while OpenLink Virtuoso is an enterprise-grade graph database system specialized in handling linked data and RDF formats.

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Detailed Comparison

ArangoDB
ArangoDB
OpenLink Virtuoso
OpenLink Virtuoso

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.

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.

multi-model nosql db; acid; transactions; javascript; database; nosql; sharding; replication; query language; joins; aql; documents; graphs; key-values; graphdb
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
273
Stacks
3
Followers
442
Followers
6
Votes
192
Votes
0
Pros & Cons
Pros
  • 37
    Grahps and documents in one DB
  • 26
    Intuitive and rich query language
  • 25
    Good documentation
  • 25
    Open source
  • 21
    Joins for collections
Cons
  • 3
    Web ui has still room for improvement
  • 2
    No support for blueprints standard, using custom AQL
No community feedback yet
Integrations
No integrations available
Oracle
Oracle
Microsoft SQL Server
Microsoft SQL Server
Linux
Linux
FreeBSD
FreeBSD
Mac OS X
Mac OS X
Windows
Windows
IBM Informix
IBM Informix

What are some alternatives to ArangoDB, 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.

Microsoft SQL Server

Microsoft SQL Server

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

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.

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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