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DBMS > Drizzle vs. IBM Cloudant vs. JaguarDB vs. Kingbase vs. Microsoft Azure Table Storage

System Properties Comparison Drizzle vs. IBM Cloudant vs. JaguarDB vs. Kingbase vs. Microsoft Azure Table Storage

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonJaguarDB  Xexclude from comparisonKingbase  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Database as a Service offering based on Apache CouchDBPerformant, highly scalable DBMS for AI and IoT applicationsAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.A Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelRelational DBMSDocument storeKey-value store
Vector DBMS
Relational DBMSWide column store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.75
Rank#104  Overall
#19  Document stores
Score0.06
Rank#381  Overall
#59  Key-value stores
#13  Vector DBMS
Score0.50
Rank#257  Overall
#119  Relational DBMS
Score4.04
Rank#77  Overall
#6  Wide column stores
Websitewww.ibm.com/­products/­cloudantwww.jaguardb.comwww.kingbase.com.cnazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationcloud.ibm.com/­docs/­Cloudantwww.jaguardb.com/­support.html
DeveloperDrizzle project, originally started by Brian AkerIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014DataJaguar, Inc.BeiJing KINGBASE Information technologies inc.Microsoft
Initial release20082010201519992012
Current release7.2.4, September 20123.3 July 2023V8.0, August 2021
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialOpen Source infoGPL V3.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ErlangC++ infothe server part. Clients available in other languagesC and Java
Server operating systemsFreeBSD
Linux
OS X
hostedLinuxLinux
Windows
hosted
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.nonoyesno
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLyes infowith proprietary extensionsnoA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersStandard with numerous extensionsno
APIs and other access methodsJDBCRESTful HTTP/JSON APIJDBC
ODBC
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
RESTful HTTP API
Supported programming languagesC
C++
Java
PHP
C#
Java
JavaScript
Objective-C
PHP
Ruby
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoView functions (Map-Reduce) in JavaScriptnouser defined functionsno
Triggersno infohooks for callbacks inside the server can be used.yesnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardinghorizontal partitioning (by range, list and hash) and vertical partitioningSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
Multi-source replicationyesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a document possiblenoACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyesyesyes
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.nonono
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users can be defined per databaserights management via user accountsfine grained access rights according to SQL-standardAccess rights based on private key authentication or shared access signatures

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More resources
DrizzleIBM CloudantJaguarDBKingbaseMicrosoft Azure Table Storage
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