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DBMS > GBase vs. HarperDB vs. HBase vs. InterSystems Caché

System Properties Comparison GBase vs. HarperDB vs. HBase vs. InterSystems Caché

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Editorial information provided by DB-Engines
NameGBase  Xexclude from comparisonHarperDB  Xexclude from comparisonHBase  Xexclude from comparisonInterSystems Caché  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Wide-column store based on Apache Hadoop and on concepts of BigTableA multi-model DBMS and application server
Primary database modelRelational DBMSDocument storeWide column storeKey-value store
Object oriented DBMS
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score0.55
Rank#248  Overall
#38  Document stores
Score30.50
Rank#26  Overall
#2  Wide column stores
Websitewww.gbase.cnwww.harperdb.iohbase.apache.orgwww.intersystems.com/­products/­cache
Technical documentationdocs.harperdb.io/­docshbase.apache.org/­book.htmldocs.intersystems.com
DeveloperGeneral Data Technology Co., Ltd.HarperDBApache Software Foundation infoApache top-level project, originally developed by PowersetInterSystems
Initial release2004201720081997
Current releaseGBase 8a, GBase 8s, GBase 8c3.1, August 20212.3.4, January 20212018.1.4, May 2020
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availableOpen Source infoApache version 2commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, Java, PythonNode.jsJava
Server operating systemsLinuxLinux
OS X
Linux
Unix
Windows infousing Cygwin
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Data schemeyesdynamic schemaschema-free, schema definition possibledepending on used data model
Typing infopredefined data types such as float or dateyesyes infoJSON data typesoptions to bring your own types, AVROyes
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.yesnonoyes
Secondary indexesyesyesnoyes
SQL infoSupport of SQLStandard with numerous extensionsSQL-like data manipulation statementsnoyes
APIs and other access methodsADO.NET
C API
JDBC
ODBC
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Java API
RESTful HTTP API
Thrift
.NET Client API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC#.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#
C++
Groovy
Java
PHP
Python
Scala
C#
C++
Java
Server-side scripts infoStored proceduresuser defined functionsCustom Functions infosince release 3.1yes infoCoprocessors in Javayes
Triggersyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash) and vertical partitioningA table resides as a whole on one (or more) nodes in a clusterShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infothe nodes on which a table resides can be definedMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsSingle row ACID (across millions of columns)ACID
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.yesyesyes
User concepts infoAccess controlyesAccess rights for users and rolesAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights for users, groups and roles

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More resources
GBaseHarperDBHBaseInterSystems Caché
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