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DBMS > HBase vs. Kdb vs. Kingbase vs. LevelDB vs. Sequoiadb

System Properties Comparison HBase vs. Kdb vs. Kingbase vs. LevelDB vs. Sequoiadb

Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonKdb  Xexclude from comparisonKingbase  Xexclude from comparisonLevelDB  Xexclude from comparisonSequoiadb  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableHigh performance Time Series DBMSAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesNewSQL database with distributed OLTP and SQL
Primary database modelWide column storeTime Series DBMS
Vector DBMS
Relational DBMSKey-value storeDocument store
Relational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score30.50
Rank#26  Overall
#2  Wide column stores
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score0.45
Rank#262  Overall
#123  Relational DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Websitehbase.apache.orgkx.comwww.kingbase.com.cngithub.com/­google/­leveldbwww.sequoiadb.com
Technical documentationhbase.apache.org/­book.htmlcode.kx.comgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdwww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetKx Systems, a division of First Derivatives plcBeiJing KINGBASE Information technologies inc.GoogleSequoiadb Ltd.
Initial release20082000 infokdb was released 2000, kdb+ in 2003199920112013
Current release2.3.4, January 20213.6, May 2018V8.0, August 20211.23, February 2021
License infoCommercial or Open SourceOpen Source infoApache version 2commercial infofree 32-bit versioncommercialOpen Source infoBSDOpen Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaqC and JavaC++C++
Server operating systemsLinux
Unix
Windows infousing Cygwin
Linux
OS X
Solaris
Windows
Linux
Windows
Illumos
Linux
OS X
Windows
Linux
Data schemeschema-free, schema definition possibleyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyesyesnoyes infooid, date, timestamp, binary, regex
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.noyesyesnono
Secondary indexesnoyes infotable attribute 'grouped'yesnoyes
SQL infoSupport of SQLnoSQL-like query language (q)Standard with numerous extensionsnoSQL-like query language
APIs and other access methodsJava API
RESTful HTTP API
Thrift
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
proprietary protocol using JSON
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresyes infoCoprocessors in Javauser defined functionsuser defined functionsnoJavaScript
Triggersyesyes infowith viewsyesnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioninghorizontal partitioning (by range, list and hash) and vertical partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationyesnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno infosimilar paradigm used for internal processingnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)noACIDnoDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACrights management via user accountsfine grained access rights according to SQL-standardnosimple password-based access control
More information provided by the system vendor
HBaseKdbKingbaseLevelDBSequoiadb
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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HBaseKdbKingbaseLevelDBSequoiadb
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