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DBMS > Spark SQL vs. STSdb vs. Tibero vs. TigerGraph

System Properties Comparison Spark SQL vs. STSdb vs. Tibero vs. TigerGraph

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Editorial information provided by DB-Engines
NameSpark SQL  Xexclude from comparisonSTSdb  Xexclude from comparisonTibero  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionSpark SQL is a component on top of 'Spark Core' for structured data processingKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodA secure RDBMS, designed for easy portability from OracleA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelRelational DBMSKey-value storeRelational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Score1.78
Rank#140  Overall
#64  Relational DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websitespark.apache.org/­sqlgithub.com/­STSSoft/­STSdb4us.tmaxsoft.com/­products/­tiberowww.tigergraph.com
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmltechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.htmldocs.tigergraph.com
DeveloperApache Software FoundationSTS Soft SCTmaxSoft
Initial release2014201120032017
Current release3.5.0 ( 2.13), September 20234.0.8, September 20156, April 2015
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGPLv2, commercial license availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC#C and AssemblerC++
Server operating systemsLinux
OS X
Windows
WindowsAIX
HP-UX
Linux
Solaris
Windows
Linux
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyes infoprimitive types and user defined types (classes)yesyes
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.noyesno
Secondary indexesnonoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyesSQL-like query language (GSQL)
APIs and other access methodsJDBC
ODBC
.NET Client APIJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesJava
Python
R
Scala
C#
Java
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
C++
Java
Server-side scripts infoStored proceduresnonoPersistent Stored Procedure (PSM)yes
Triggersnonoyesno
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 nodesnonenoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynonoyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono infoplanned for next versionno
User concepts infoAccess controlnonofine grained access rights according to SQL-standard (SQL 92, SQL 99)Role-based access control

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More resources
Spark SQLSTSdbTiberoTigerGraph
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