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DBMS > Spark SQL vs. Transbase vs. UniData,UniVerse

System Properties Comparison Spark SQL vs. Transbase vs. UniData,UniVerse

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Editorial information provided by DB-Engines
NameSpark SQL  Xexclude from comparisonTransbase  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
DescriptionSpark SQL is a component on top of 'Spark Core' for structured data processingA resource-optimized, high-performance, universally applicable RDBMSMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelRelational DBMSRelational DBMSMultivalue DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.56
Rank#34  Overall
#20  Relational DBMS
Score0.28
Rank#273  Overall
#126  Relational DBMS
Score3.85
Rank#86  Overall
#2  Multivalue DBMS
Websitespark.apache.org/­sqlwww.transaction.de/­en/­solutions/­transbase-resource-optimized-high-performance-databasewww.rocketsoftware.com/­products/­rocket-u2
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.transaction.de/­en/­transbase-insidewww.rocketsoftware.com/­products/­rocket-u2/­documentation
DeveloperApache Software FoundationTransaction Software GmbHRocket Software
Initial release201419871985
Current release3.1.1, March 2021Transbase 8.4, September 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infofree development licensecommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC and C++C
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
macOS
Solaris
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesoptional
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
Secondary indexesnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyes
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesJava
Python
R
Scala
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresnoyesyes
Triggersnoyesyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACID infoconfigurable
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.nono
User concepts infoAccess controlnofine grained access rights according to SQL-standardAccess rights according to SQL-standard and operating system based

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More resources
Spark SQLTransbaseUniData,UniVerse
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