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

OpenLink Virtuoso vs Tokudb

OverviewComparisonAlternatives

Overview

Tokudb
Tokudb
Stacks3
Followers3
Votes0
GitHub Stars661
Forks129
OpenLink Virtuoso
OpenLink Virtuoso
Stacks3
Followers6
Votes0

Tokudb vs OpenLink Virtuoso: What are the differences?

Developers describe Tokudb as "Open source, high-performance storage engine for Percona Server". It is an open-source, high-performance storage engine for MySQL and MariaDB. It achieves this by using a fractal tree index. It is scalable, ACID and MVCC compliant, provides indexing-based query improvements, offers online schema modifications, and reduces slave lag for both hard disk drives and flash memory. On the other hand, OpenLink Virtuoso is detailed as "A database management system for businesses of all sizes". 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.

Tokudb and OpenLink Virtuoso can be categorized as "Databases" tools.

Some of the features offered by Tokudb are:

  • Fast and scalable service
  • Better performance
  • Stronger ROI

On the other hand, OpenLink Virtuoso provides the following key features:

  • 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

Tokudb is an open source tool with 609 GitHub stars and 111 GitHub forks. Here's a link to Tokudb's open source repository on GitHub.

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Detailed Comparison

Tokudb
Tokudb
OpenLink Virtuoso
OpenLink Virtuoso

It is an open-source, high-performance storage engine for MySQL and MariaDB. It achieves this by using a fractal tree index. It is scalable, ACID and MVCC compliant, provides indexing-based query improvements, offers online schema modifications, and reduces slave lag for both hard disk drives and flash memory.

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.

Fast and scalable service; Better performance; Stronger ROI; Higher availability
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
GitHub Stars
661
GitHub Stars
-
GitHub Forks
129
GitHub Forks
-
Stacks
3
Stacks
3
Followers
3
Followers
6
Votes
0
Votes
0
Integrations
MySQL
MySQL
MariaDB
MariaDB
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 Tokudb, 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.

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.

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