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DBMS > Firebird vs. HBase vs. IBM Cloudant vs. Kinetica vs. LokiJS

System Properties Comparison Firebird vs. HBase vs. IBM Cloudant vs. Kinetica vs. LokiJS

Editorial information provided by DB-Engines
NameFirebird  Xexclude from comparisonHBase  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonKinetica  Xexclude from comparisonLokiJS  Xexclude from comparison
DescriptionFirebird is an open source RDBMS forked from Borland's InterBaseWide-column store based on Apache Hadoop and on concepts of BigTableDatabase as a Service offering based on Apache CouchDBFully vectorized database across both GPUs and CPUsIn-memory JavaScript DBMS
Primary database modelRelational DBMSWide column storeDocument storeRelational DBMSDocument store
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.50
Rank#30  Overall
#18  Relational DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Score2.75
Rank#104  Overall
#19  Document stores
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.49
Rank#260  Overall
#42  Document stores
Websitewww.firebirdsql.orghbase.apache.orgwww.ibm.com/­products/­cloudantwww.kinetica.comgithub.com/­techfort/­LokiJS
Technical documentationwww.firebirdsql.org/­en/­reference-manualshbase.apache.org/­book.htmlcloud.ibm.com/­docs/­Cloudantdocs.kinetica.comtechfort.github.io/­LokiJS
DeveloperFirebird FoundationApache Software Foundation infoApache top-level project, originally developed by PowersetIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Kinetica
Initial release2000 infoAs fork of Borland's InterBase2008201020122014
Current release5.0.0, January 20242.3.4, January 20217.1, August 2021
License infoCommercial or Open SourceOpen Source infoInitial Developer's Public LicenseOpen Source infoApache version 2commercialcommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++JavaErlangC, C++JavaScript
Server operating systemsAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
Linux
Unix
Windows infousing Cygwin
hostedLinuxserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesschema-free, schema definition possibleschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROnoyesno
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.nononono
Secondary indexesyesnoyesyesyes infovia views
SQL infoSupport of SQLyesnonoSQL-like DML and DDL statementsno
APIs and other access methodsADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
Java API
RESTful HTTP API
Thrift
RESTful HTTP/JSON APIJDBC
ODBC
RESTful HTTP API
JavaScript API
Supported programming languagesC
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
C
C#
C++
Groovy
Java
PHP
Python
Scala
C#
Java
JavaScript
Objective-C
PHP
Ruby
C++
Java
JavaScript (Node.js)
Python
JavaScript
Server-side scripts infoStored proceduresPSQLyes infoCoprocessors in JavaView functions (Map-Reduce) in JavaScriptuser defined functionsView functions in JavaScript
Triggersyesyesyesyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
Source-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationnone
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDSingle row ACID (across millions of columns)no infoatomic operations within a document possiblenono infoatomic operations within a single collection possible
Concurrency infoSupport for concurrent manipulation of datayes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyes infoOptimistic lockingyes
Durability infoSupport for making data persistentyesyesyesyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlUsers with fine-grained authorization conceptAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights for users can be defined per databaseAccess rights for users and roles on table levelno

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More resources
FirebirdHBaseIBM CloudantKineticaLokiJS
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