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Quasardb System Properties

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Editorial information provided by DB-Engines
NameQuasardb
DescriptionDistributed, high-performance Key-value Store
Database modelKey-value store
DB-Engines Ranking measures the popularity of database management systems
Score0.00
Rank#290  Overall
#48  Key-value stores
Websitewww.quasardb.net
Technical documentationdoc.quasardb.net
Developerquasardb
Initial release2009
Current release2.0.0, 2017
License Commercial or Open Sourcecommercial
Cloud-based Only available as a cloud serviceno
Implementation languageC++
Server operating systemsBSD
Linux
OS X
Windows
Data schemeschema-free
Typing predefined data types such as float or dateyes integer and binary
XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.no
Secondary indexesyes with tags
SQL Support of (almost full) SQL standard (DML, DDL and DCL statements)no
APIs and other access methodsHTTP API
Supported programming languages.Net
C
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts Stored proceduresno
Triggersno
Partitioning methods Methods for storing different data on different nodesSharding consistent hashing
Replication methods Methods for redundantly storing data on multiple nodesMaster-slave replication
MapReduce Offers an API for user-defined Map/Reduce methodswith Hadoop integration
Consistency concepts Methods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys Referential integrityno
Transaction concepts Support to ensure data integrity after non-atomic manipulations of dataACID
Concurrency Support for concurrent manipulation of datayes
Durability Support for making data persistentyes by using LevelDB
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.yes Transient mode
User concepts Access controlno

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Quasardb
Recent citations in the news

Quartet FS annonce le lancement d'une nouvelle solution pour la performance opérationnelle: ActivePivot Storage - Decideo
29 February 2016, Big Data, Business Intelligence, Data Science

provided by Google News




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