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DBMS > IBM Db2 vs. Microsoft Azure Cosmos DB vs. Postgres-XL vs. ReductStore

System Properties Comparison IBM Db2 vs. Microsoft Azure Cosmos DB vs. Postgres-XL vs. ReductStore

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Editorial information provided by DB-Engines
NameIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonReductStore  Xexclude from comparison
DescriptionCommon in IBM host environments, 2 different versions for host and Windows/LinuxGlobally distributed, horizontally scalable, multi-model database serviceBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresDesigned to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.
Primary database modelRelational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMSTime Series DBMS
Secondary database modelsDocument store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
Spatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score125.90
Rank#9  Overall
#6  Relational DBMS
Score27.71
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score0.05
Rank#384  Overall
#44  Time Series DBMS
Websitewww.ibm.com/­products/­db2azure.microsoft.com/­services/­cosmos-dbwww.postgres-xl.orggithub.com/­reductstore
www.reduct.store
Technical documentationwww.ibm.com/­docs/­en/­db2learn.microsoft.com/­azure/­cosmos-dbwww.postgres-xl.org/­documentationwww.reduct.store/­docs
DeveloperIBMMicrosoftReductStore LLC
Initial release1983 infohost version20142014 infosince 2012, originally named StormDB2023
Current release12.1, October 201610 R1, October 20181.9, March 2024
License infoCommercial or Open Sourcecommercial infofree version is availablecommercialOpen Source infoMozilla public licenseOpen Source infoBusiness Source License 1.1
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++CC++, Rust
Server operating systemsAIX
HP-UX
Linux
Solaris
Windows
z/OS
hostedLinux
macOS
Docker
Linux
macOS
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes infoJSON typesyes
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.yes infoXML type, but no XML query functionality
Secondary indexesyesyes infoAll properties auto-indexed by defaultyes
SQL infoSupport of SQLyesSQL-like query languageyes infodistributed, parallel query execution
APIs and other access methodsADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP API
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresyesJavaScriptuser defined functions
TriggersyesJavaScriptyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoonly with Windows/Unix/Linux VersionSharding infoImplicit feature of the cloud servicehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infowith separate tools (MQ, InfoSphere)yes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*no
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDMulti-item ACID transactions with snapshot isolation within a partitionACID infoMVCC
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.no
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights can be defined down to the item levelfine grained access rights according to SQL-standard

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More resources
IBM Db2 infoformerly named DB2 or IBM Database 2Microsoft Azure Cosmos DB infoformer name was Azure DocumentDBPostgres-XLReductStore
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