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DBMS > Hypertable vs. jBASE vs. Kinetica vs. Kingbase vs. Microsoft Azure Table Storage

System Properties Comparison Hypertable vs. jBASE vs. Kinetica vs. Kingbase vs. Microsoft Azure Table Storage

Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonjBASE  Xexclude from comparisonKinetica  Xexclude from comparisonKingbase  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAn open source BigTable implementation based on distributed file systems such as HadoopA robust multi-value DBMS comprising development tools and middlewareFully vectorized database across both GPUs and CPUsAn 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 modelWide column storeMultivalue DBMSRelational DBMSRelational DBMSWide column store
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.41
Rank#159  Overall
#3  Multivalue DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.45
Rank#262  Overall
#123  Relational DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Websitewww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasewww.kinetica.comwww.kingbase.com.cnazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9docs.kinetica.com
DeveloperHypertable Inc.Rocket Software (formerly Zumasys)KineticaBeiJing KINGBASE Information technologies inc.Microsoft
Initial release20091991201219992012
Current release0.9.8.11, March 20165.77.1, August 2021V8.0, August 2021
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availablecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C, C++C and Java
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
AIX
Linux
Windows
LinuxLinux
Windows
hosted
Data schemeschema-freeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenooptionalyesyesyes
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.yesnoyesno
Secondary indexesrestricted infoonly exact value or prefix value scansyesyesno
SQL infoSupport of SQLnoEmbedded SQL for jBASE in BASICSQL-like DML and DDL statementsStandard with numerous extensionsno
APIs and other access methodsC++ API
Thrift
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
JDBC
ODBC
RESTful HTTP API
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
RESTful HTTP API
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
.Net
Basic
Jabbascript
Java
C++
Java
JavaScript (Node.js)
Python
.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 proceduresnoyesuser defined functionsuser defined functionsno
Triggersnoyesyes infotriggers when inserted values for one or more columns fall within a specified rangeyesno
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 nodesselectable replication factor on file system levelyesSource-replica replicationyesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesyes infoGPU vRAM or System RAMno
User concepts infoAccess controlnoAccess rights can be defined down to the item levelAccess rights for users and roles on table levelfine grained access rights according to SQL-standardAccess rights based on private key authentication or shared access signatures

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More resources
HypertablejBASEKineticaKingbaseMicrosoft Azure Table Storage
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