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DBMS > Cubrid vs. HarperDB vs. InterSystems Caché vs. Tkrzw

System Properties Comparison Cubrid vs. HarperDB vs. InterSystems Caché vs. Tkrzw

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Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonHarperDB  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPHarperDB takes the "stack" out of "tech stack" by combining an ultra-fast document-style data store, in-memory cache, real-time message broker, and your application components into a single distributed technology.A multi-model DBMS and application serverA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelRelational DBMSDocument storeKey-value store
Object oriented DBMS
Relational DBMS
Key-value store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.97
Rank#189  Overall
#86  Relational DBMS
Score0.55
Rank#243  Overall
#38  Document stores
Score0.00
Rank#385  Overall
#61  Key-value stores
Websitecubrid.com (korean)
cubrid.org (english)
www.harperdb.iowww.intersystems.com/­products/­cachedbmx.net/­tkrzw
Technical documentationcubrid.org/­manualsdocs.harperdb.io/­docsdocs.intersystems.com
DeveloperCUBRID Corporation, CUBRID FoundationHarperDBInterSystemsMikio Hirabayashi
Initial release2008201719972020
Current release11.0, January 20213.1, August 20212018.1.4, May 20200.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree community edition availablecommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++, JavaNode.jsC++
Server operating systemsLinux
Windows
Linux
OS X
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Linux
macOS
Data schemeyesdynamic schemadepending on used data modelschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyesno
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 indexesyesyesyes
SQL infoSupport of SQLyesSQL-like data manipulation statementsyesno
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
.NET Client API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C#
C++
Java
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresJava Stored ProceduresCustom Functions infosince release 3.1yesno
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneA table resides as a whole on one (or more) nodes in a clusternonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infothe nodes on which a table resides can be definedSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes infousing specific database classes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and rolesAccess rights for users, groups and rolesno

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More resources
CubridHarperDBInterSystems CachéTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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