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DBMS > Apache Phoenix vs. IBM Db2 vs. JaguarDB vs. Microsoft Azure Cosmos DB

System Properties Comparison Apache Phoenix vs. IBM Db2 vs. JaguarDB vs. Microsoft Azure Cosmos DB

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonJaguarDB  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseCommon in IBM host environments, 2 different versions for host and Windows/LinuxPerformant, highly scalable DBMS for AI and IoT applicationsGlobally distributed, horizontally scalable, multi-model database service
Primary database modelRelational DBMSRelational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBKey-value store
Vector DBMS
Document store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsDocument store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.10
Rank#131  Overall
#63  Relational DBMS
Score127.75
Rank#8  Overall
#5  Relational DBMS
Score0.06
Rank#372  Overall
#55  Key-value stores
#14  Vector DBMS
Score30.39
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Websitephoenix.apache.orgwww.ibm.com/­products/­db2www.jaguardb.comazure.microsoft.com/­services/­cosmos-db
Technical documentationphoenix.apache.orgwww.ibm.com/­docs/­en/­db2www.jaguardb.com/­support.htmllearn.microsoft.com/­azure/­cosmos-db
DeveloperApache Software FoundationIBMDataJaguar, Inc.Microsoft
Initial release20141983 infohost version20152014
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 201912.1, October 20163.3 July 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree version is availableOpen Source infoGPL V3.0commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++C++ infothe server part. Clients available in other languages
Server operating systemsLinux
Unix
Windows
AIX
HP-UX
Linux
Solaris
Windows
z/OS
Linuxhosted
Data schemeyes infolate-bound, schema-on-read capabilitiesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infoJSON types
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 indexesyesyesyesyes infoAll properties auto-indexed by default
SQL infoSupport of SQLyesyesA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersSQL-like query language
APIs and other access methodsJDBCADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
JDBC
ODBC
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Server-side scripts infoStored proceduresuser defined functionsyesnoJavaScript
TriggersnoyesnoJavaScript
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoonly with Windows/Unix/Linux VersionShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infowith separate tools (MQ, InfoSphere)Multi-source replicationyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoMulti-item ACID transactions with snapshot isolation within a partition
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 controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyfine grained access rights according to SQL-standardrights management via user accountsAccess rights can be defined down to the item level

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More resources
Apache PhoenixIBM Db2 infoformerly named DB2 or IBM Database 2JaguarDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB
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