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DBMS > Spark SQL vs. Tibero

System Properties Comparison Spark SQL vs. Tibero

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Our visitors often compare Spark SQL and Tibero with Oracle, PostgreSQL and MySQL.

Editorial information provided by DB-Engines
NameSpark SQL  Xexclude from comparisonTibero  Xexclude from comparison
DescriptionSpark SQL is a component on top of 'Spark Core' for structured data processingA secure RDBMS, designed for easy portability from Oracle
Primary database modelRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score16.15
Rank#35  Overall
#21  Relational DBMS
Score1.40
Rank#125  Overall
#65  Relational DBMS
Websitespark.apache.org/­sqlwww.tmaxsoft.com/­products/­tibero
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmltechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
DeveloperApache Software FoundationTmaxSoft
Initial release20142003
Current releasev2.4.4, September 20196, April 2015
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaC and Assembler
Server operating systemsLinux
OS X
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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.noyes
Secondary indexesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes
APIs and other access methodsJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
JDBC
ODBC
Supported programming languagesJava
Python
R
Scala
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresnoPersistent Stored Procedure (PSM)
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark Corehorizontal partitioning infoby range, hash, list or composite
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMaster-master replication
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyes
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 persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono infoplanned for next version
User concepts infoAccess controlnofine grained access rights according to SQL-standard (SQL 92, SQL 99)

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More resources
Spark SQLTibero
Conferences and events

Spark Summit Europe 2019
Amsterdam, Netherlands, 15-17 October 2019

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