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DBMS > BaseX vs. IBM Db2 Event Store vs. Microsoft Azure SQL Database vs. TimesTen

System Properties Comparison BaseX vs. IBM Db2 Event Store vs. Microsoft Azure SQL Database vs. TimesTen

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Editorial information provided by DB-Engines
NameBaseX  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.Distributed Event Store optimized for Internet of Things use casesDatabase as a Service offering with high compatibility to Microsoft SQL ServerIn-Memory RDBMS compatible to Oracle
Primary database modelNative XML DBMSEvent Store
Time Series DBMS
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.73
Rank#142  Overall
#4  Native XML DBMS
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websitebasex.orgwww.ibm.com/­products/­db2-event-storeazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdocs.basex.orgwww.ibm.com/­docs/­en/­db2-event-storedocs.microsoft.com/­en-us/­azure/­azure-sqldocs.oracle.com/­database/­timesten-18.1
DeveloperBaseX GmbHIBMMicrosoftOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2007201720101998
Current release10.7, August 20232.0V1211 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoBSD licensecommercial infofree developer edition availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++C++
Server operating systemsLinux
OS X
Windows
Linux infoLinux, macOS, Windows for the developer additionhostedAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateno infoXQuery supports typesyesyesyes
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 indexesyesnoyesyes
SQL infoSupport of SQLnoyes infothrough the embedded Spark runtimeyesyes
APIs and other access methodsJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesActionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresyesyesTransact SQLPL/SQL
Triggersyes infovia eventsnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneActive-active shard replicationyes, with always 3 replicas availableMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datamultiple readers, single writernoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlUsers with fine-grained authorization concept on 4 levelsfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
BaseXIBM Db2 Event StoreMicrosoft Azure SQL Database infoformerly SQL AzureTimesTen
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