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DBMS > Spark SQL vs. Sphinx vs. Stardog vs. STSdb vs. VelocityDB

System Properties Comparison Spark SQL vs. Sphinx vs. Stardog vs. STSdb vs. VelocityDB

Editorial information provided by DB-Engines
NameSpark SQL  Xexclude from comparisonSphinx  Xexclude from comparisonStardog  Xexclude from comparisonSTSdb  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionSpark SQL is a component on top of 'Spark Core' for structured data processingOpen source search engine for searching in data from different sources, e.g. relational databasesEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelRelational DBMSSearch engineGraph DBMS
RDF store
Key-value storeGraph DBMS
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Score0.04
Rank#360  Overall
#52  Key-value stores
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websitespark.apache.org/­sqlsphinxsearch.comwww.stardog.comgithub.com/­STSSoft/­STSdb4velocitydb.com
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmlsphinxsearch.com/­docsdocs.stardog.comvelocitydb.com/­UserGuide
DeveloperApache Software FoundationSphinx Technologies Inc.Stardog-UnionSTS Soft SCVelocityDB Inc
Initial release20142001201020112011
Current release3.5.0 ( 2.13), September 20233.5.1, February 20237.3.0, May 20204.0.8, September 20157.x
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGPL version 2, commercial licence availablecommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen Source infoGPLv2, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC++JavaC#C#
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
macOS
Windows
WindowsAny that supports .NET
Data schemeyesyesschema-free and OWL/RDFS-schema supportyesyes
Typing infopredefined data types such as float or dateyesnoyesyes infoprimitive types and user defined types (classes)yes
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.nono infoImport/export of XML data possibleno
Secondary indexesnoyes infofull-text index on all search fieldsyes infosupports real-time indexing in full-text and geospatialnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query language (SphinxQL)Yes, compatible with all major SQL variants through dedicated BI/SQL Servernono
APIs and other access methodsJDBC
ODBC
Proprietary protocolGraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
.NET Client API.Net
Supported programming languagesJava
Python
R
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C#
Java
.Net
Server-side scripts infoStored proceduresnonouser defined functions and aggregates, HTTP Server extensions in Javanono
Triggersnonoyes infovia event handlersnoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark CoreSharding infoPartitioning is done manually, search queries against distributed index is supportednonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneMulti-source replication in HA-Clusternone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in HA-ClusterImmediate Consistency
Foreign keys infoReferential integritynonoyes inforelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Sphinx index.yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnonoAccess rights for users and rolesnoBased on Windows Authentication

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More resources
Spark SQLSphinxStardogSTSdbVelocityDB
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