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DBMS > Spark SQL vs. Stardog vs. Tibero

System Properties Comparison Spark SQL vs. Stardog vs. Tibero

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Editorial information provided by DB-Engines
NameSpark SQL  Xexclude from comparisonStardog  Xexclude from comparisonTibero  Xexclude from comparison
DescriptionSpark SQL is a component on top of 'Spark Core' for structured data processingEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationA secure RDBMS, designed for easy portability from Oracle
Primary database modelRelational DBMSGraph DBMS
RDF store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score19.15
Rank#33  Overall
#20  Relational DBMS
Score2.05
Rank#129  Overall
#11  Graph DBMS
#6  RDF stores
Score1.81
Rank#143  Overall
#65  Relational DBMS
Websitespark.apache.org/­sqlwww.stardog.comus.tmaxsoft.com/­products/­tibero
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.stardog.comtechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
DeveloperApache Software FoundationStardog-UnionTmaxSoft
Initial release201420102003
Current release3.5.0 ( 2.13), September 20237.3.0, May 20206, April 2015
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentscommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaJavaC and Assembler
Server operating systemsLinux
OS X
Windows
Linux
macOS
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeyesschema-free and OWL/RDFS-schema supportyes
Typing infopredefined data types such as float or dateyesyesyes
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 possibleyes
Secondary indexesnoyes infosupports real-time indexing in full-text and geospatialyes
SQL infoSupport of SQLSQL-like DML and DDL statementsYes, compatible with all major SQL variants through dedicated BI/SQL Serveryes
APIs and other access methodsJDBC
ODBC
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Supported programming languagesJava
Python
R
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresnouser defined functions and aggregates, HTTP Server extensions in JavaPersistent Stored Procedure (PSM)
Triggersnoyes infovia event handlersyes
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark Corenonehorizontal partitioning infoby range, hash, list or composite
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication in HA-ClusterMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in HA-ClusterImmediate Consistency
Foreign keys infoReferential integritynoyes inforelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno infoplanned for next version
User concepts infoAccess controlnoAccess rights for users and rolesfine grained access rights according to SQL-standard (SQL 92, SQL 99)

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More resources
Spark SQLStardogTibero
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