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DBMS > GigaSpaces vs. IBM Db2 warehouse vs. Spark SQL vs. SWC-DB vs. Transbase

System Properties Comparison GigaSpaces vs. IBM Db2 warehouse vs. Spark SQL vs. SWC-DB vs. Transbase

Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsCloud-based data warehousing serviceSpark SQL is a component on top of 'Spark Core' for structured data processingA high performance, scalable Wide Column DBMSA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMSRelational DBMSWide column storeRelational DBMS
Secondary database modelsGraph DBMS
Search engine
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score1.30
Rank#164  Overall
#75  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.01
Rank#376  Overall
#13  Wide column stores
Score0.11
Rank#341  Overall
#150  Relational DBMS
Websitewww.gigaspaces.comwww.ibm.com/­products/­db2/­warehousespark.apache.org/­sqlgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
www.transaction.de/­en/­products/­transbase.html
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperGigaspaces TechnologiesIBMApache Software FoundationAlex KashirinTransaction Software GmbH
Initial release20002014201420201987
Current release15.5, September 20203.5.0 ( 2.13), September 20230.5, April 2021Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availablecommercialOpen Source infoApache 2.0Open Source infoGPL V3commercial infofree development license
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetScalaC++C and C++
Server operating systemsLinux
macOS
Solaris
Windows
hostedLinux
OS X
Windows
LinuxFreeBSD
Linux
macOS
Solaris
Windows
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.no infoXML can be used for describing objects metadatano infoImport/export of XML data possiblenonono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLSQL-99 for query and DML statementsyesSQL-like DML and DDL statementsSQL-like query languageyes
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
.NET Client API
JDBC
ODBC
OLE DB
JDBC
ODBC
Proprietary protocol
Thrift
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languages.Net
C++
Java
Python
Scala
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Java
Python
R
Scala
C++C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresyesPL/SQL, SQL PLnonoyes
Triggersyes, event driven architectureyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yesnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnonono
User concepts infoAccess controlRole-based access controlfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard

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More resources
GigaSpacesIBM Db2 warehouse infoformerly named IBM dashDBSpark SQLSWC-DB infoSuper Wide Column DatabaseTransbase
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