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DBMS > InterSystems Caché vs. KairosDB vs. Kingbase vs. LevelDB vs. Splice Machine

System Properties Comparison InterSystems Caché vs. KairosDB vs. Kingbase vs. LevelDB vs. Splice Machine

Editorial information provided by DB-Engines
NameInterSystems Caché  Xexclude from comparisonKairosDB  Xexclude from comparisonKingbase  Xexclude from comparisonLevelDB  Xexclude from comparisonSplice Machine  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionA multi-model DBMS and application serverDistributed Time Series DBMS based on Cassandra or H2An 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 valuesOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelKey-value store
Object oriented DBMS
Relational DBMS
Time Series DBMSRelational DBMSKey-value storeRelational DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.62
Rank#239  Overall
#20  Time Series DBMS
Score0.45
Rank#262  Overall
#123  Relational DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitewww.intersystems.com/­products/­cachegithub.com/­kairosdb/­kairosdbwww.kingbase.com.cngithub.com/­google/­leveldbsplicemachine.com
Technical documentationdocs.intersystems.comkairosdb.github.iogithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdsplicemachine.com/­how-it-works
DeveloperInterSystemsBeiJing KINGBASE Information technologies inc.GoogleSplice Machine
Initial release19972013199920112014
Current release2018.1.4, May 20201.2.2, November 2018V8.0, August 20211.23, February 20213.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoBSDOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and JavaC++Java
Server operating systemsAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Linux
Windows
Illumos
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
Data schemedepending on used data modelschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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 indexesyesnoyesnoyes
SQL infoSupport of SQLyesnoStandard with numerous extensionsnoyes
APIs and other access methods.NET Client API
JDBC
ODBC
RESTful HTTP API
Graphite protocol
HTTP REST
Telnet API
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC#
C++
Java
Java
JavaScript infoNode.js
PHP
Python
.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
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyesnouser defined functionsnoyes infoJava
Triggersyesnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on Cassandrahorizontal partitioning (by range, list and hash) and vertical partitioningnoneShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor infobased on CassandrayesnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
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.yesnoyes
User concepts infoAccess controlAccess rights for users, groups and rolessimple password-based access controlfine grained access rights according to SQL-standardnoAccess rights for users, groups and roles according to SQL-standard

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More resources
InterSystems CachéKairosDBKingbaseLevelDBSplice Machine
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