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DBMS > BaseX vs. GridDB vs. IBM Db2 vs. Microsoft Azure Table Storage

System Properties Comparison BaseX vs. GridDB vs. IBM Db2 vs. Microsoft Azure Table Storage

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Editorial information provided by DB-Engines
NameBaseX  Xexclude from comparisonGridDB  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparison
DescriptionLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.Scalable in-memory time series database optimized for IoT and Big DataCommon in IBM host environments, 2 different versions for host and Windows/LinuxA Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelNative XML DBMSTime Series DBMSRelational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBWide column store
Secondary database modelsKey-value store
Relational DBMS
Document store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#136  Overall
#4  Native XML DBMS
Score2.02
Rank#132  Overall
#11  Time Series DBMS
Score127.49
Rank#8  Overall
#5  Relational DBMS
Score4.92
Rank#73  Overall
#6  Wide column stores
Websitebasex.orggriddb.netwww.ibm.com/­products/­db2azure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationdocs.basex.orgdocs.griddb.netwww.ibm.com/­docs/­en/­db2
DeveloperBaseX GmbHToshiba CorporationIBMMicrosoft
Initial release200720131983 infohost version2012
Current release10.7, August 20235.1, August 202212.1, October 2016
License infoCommercial or Open SourceOpen Source infoBSD licenseOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercial infofree version is availablecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C and C++
Server operating systemsLinux
OS X
Windows
LinuxAIX
HP-UX
Linux
Solaris
Windows
z/OS
hosted
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateno infoXQuery supports typesyes infonumerical, string, blob, geometry, boolean, timestampyesyes
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 indexesyesyesyesno
SQL infoSupport of SQLnoSQL92, SQL-like TQL (Toshiba Query Language)yesno
APIs and other access methodsJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
ADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
RESTful HTTP API
Supported programming languagesActionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesnoyesno
Triggersyes infovia eventsyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoonly with Windows/Unix/Linux VersionSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationyes infowith separate tools (MQ, InfoSphere)yes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datamultiple readers, single writerACID at container levelACIDoptimistic locking
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.yesno
User concepts infoAccess controlUsers with fine-grained authorization concept on 4 levelsAccess rights for users can be defined per databasefine grained access rights according to SQL-standardAccess rights based on private key authentication or shared access signatures
More information provided by the system vendor
BaseXGridDBIBM Db2 infoformerly named DB2 or IBM Database 2Microsoft Azure Table Storage
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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BaseXGridDBIBM Db2 infoformerly named DB2 or IBM Database 2Microsoft Azure Table Storage
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