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DBMS > Sphinx vs. VelocityDB

System Properties Comparison Sphinx vs. VelocityDB

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Editorial information provided by DB-Engines
NameSphinx  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionOpen source search engine for searching in data from different sources, e.g. relational databasesA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelSearch engineGraph DBMS
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.95
Rank#64  Overall
#8  Search engines
Score0.01
Rank#348  Overall
#36  Graph DBMS
#18  Object oriented DBMS
Websitesphinxsearch.comvelocitydb.com
Technical documentationsphinxsearch.com/­docsvelocitydb.com/­UserGuide
DeveloperSphinx Technologies Inc.VelocityDB Inc
Initial release20012011
Current release3.4.1, July 20217.x
License infoCommercial or Open SourceOpen Source infoGPL version 2, commercial licence availablecommercial
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C#
Server operating systemsFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Any that supports .NET
Data schemeyesyes
Typing infopredefined data types such as float or datenoyes
XML support infoSome 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 infofull-text index on all search fieldsyes
SQL infoSupport of SQLSQL-like query language (SphinxQL)no
APIs and other access methodsProprietary protocol.Net
Supported programming languagesC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
.Net
Server-side scripts infoStored proceduresnono
TriggersnoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlnoBased on Windows Authentication

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SphinxVelocityDB
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