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DBMS > IBM Db2 warehouse vs. Microsoft Azure Table Storage vs. Oracle vs. Splice Machine vs. SwayDB

System Properties Comparison IBM Db2 warehouse vs. Microsoft Azure Table Storage vs. Oracle vs. Splice Machine vs. SwayDB

Editorial information provided by DB-Engines
NameIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonOracle  Xexclude from comparisonSplice Machine  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionCloud-based data warehousing serviceA Wide Column Store for rapid development using massive semi-structured datasetsWidely used RDBMSOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelRelational DBMSWide column storeRelational DBMSRelational DBMSKey-value store
Secondary database modelsDocument store
Graph DBMS infowith Oracle Spatial and Graph
RDF store infowith Oracle Spatial and Graph
Spatial DBMS infowith Oracle Spatial and Graph
Vector DBMS infosince Oracle 23
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.30
Rank#164  Overall
#75  Relational DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Score1236.29
Rank#1  Overall
#1  Relational DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score0.00
Rank#382  Overall
#59  Key-value stores
Websitewww.ibm.com/­products/­db2/­warehouseazure.microsoft.com/­en-us/­services/­storage/­tableswww.oracle.com/­databasesplicemachine.comswaydb.simer.au
Technical documentationdocs.oracle.com/­en/­databasesplicemachine.com/­how-it-works
DeveloperIBMMicrosoftOracleSplice MachineSimer Plaha
Initial release20142012198020142018
Current release23c, September 20233.1, March 2021
License infoCommercial or Open Sourcecommercialcommercialcommercial inforestricted free version is availableOpen Source infoAGPL 3.0, commercial license availableOpen Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++JavaScala
Server operating systemshostedhostedAIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeyes infoSchemaless in JSON and XML columnsyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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 infoImport/export of XML data possiblenoyesno
Secondary indexesyesnoyesyesno
SQL infoSupport of SQLyesnoyes infowith proprietary extensionsyesno
APIs and other access methods.NET Client API
JDBC
ODBC
OLE DB
RESTful HTTP APIJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
JDBC
Native Spark Datasource
ODBC
Supported programming languagesJava
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Java
Kotlin
Scala
Server-side scripts infoStored proceduresPL/SQL, SQL PLnoPL/SQL infoalso stored procedures in Java possibleyes infoJavano
Triggersyesnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceSharding, horizontal partitioningShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-source replication
Source-replica replication
Multi-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocan be realized in PL/SQLYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic lockingACID infoisolation level can be parameterizedACIDAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
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.yesnoyes infoVersion 12c introduced the new option 'Oracle Database In-Memory'yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights based on private key authentication or shared access signaturesfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardno

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More resources
IBM Db2 warehouse infoformerly named IBM dashDBMicrosoft Azure Table StorageOracleSplice MachineSwayDB
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