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DBMS > BaseX vs. Google Cloud Firestore vs. InterSystems Caché vs. Kinetica vs. Riak KV

System Properties Comparison BaseX vs. Google Cloud Firestore vs. InterSystems Caché vs. Kinetica vs. Riak KV

Editorial information provided by DB-Engines
NameBaseX  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonKinetica  Xexclude from comparisonRiak KV  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.Cloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.A multi-model DBMS and application serverFully vectorized database across both GPUs and CPUsDistributed, fault tolerant key-value store
Primary database modelNative XML DBMSDocument storeKey-value store
Object oriented DBMS
Relational DBMS
Relational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
Secondary database modelsDocument storeSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.84
Rank#135  Overall
#4  Native XML DBMS
Score7.36
Rank#53  Overall
#9  Document stores
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score4.01
Rank#79  Overall
#9  Key-value stores
Websitebasex.orgfirebase.google.com/­products/­firestorewww.intersystems.com/­products/­cachewww.kinetica.com
Technical documentationdocs.basex.orgfirebase.google.com/­docs/­firestoredocs.intersystems.comdocs.kinetica.comwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperBaseX GmbHGoogleInterSystemsKineticaOpenSource, formerly Basho Technologies
Initial release20072017199720122009
Current release11.0, June 20242018.1.4, May 20207.1, August 20213.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoBSD licensecommercialcommercialcommercialOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++Erlang
Server operating systemsLinux
OS X
Windows
hostedAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
LinuxLinux
OS X
Data schemeschema-freeschema-freedepending on used data modelyesschema-free
Typing infopredefined data types such as float or dateno infoXQuery supports typesyesyesyesno
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.noyesnono
Secondary indexesyesyesyesyesrestricted
SQL infoSupport of SQLnonoyesSQL-like DML and DDL statementsno
APIs and other access methodsJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
.NET Client API
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
HTTP API
Native Erlang Interface
Supported programming languagesActionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C#
C++
Java
C++
Java
JavaScript (Node.js)
Python
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresyesyes, Firebase Rules & Cloud Functionsyesuser defined functionsErlang
Triggersyes infovia eventsyes, with Cloud Functionsyesyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneShardingSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationSource-replica replicationSource-replica replicationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud Dataflownonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Foreign keys infoReferential integritynonoyesyesno infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datamultiple readers, single writeryesACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAM
User concepts infoAccess controlUsers with fine-grained authorization concept on 4 levelsAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Access rights for users, groups and rolesAccess rights for users and roles on table levelyes, using Riak Security

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More resources
BaseXGoogle Cloud FirestoreInterSystems CachéKineticaRiak KV
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