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DBMS > Amazon DocumentDB vs. BaseX vs. Google Cloud Firestore vs. Kinetica vs. Riak KV

System Properties Comparison Amazon DocumentDB vs. BaseX vs. Google Cloud Firestore vs. Kinetica vs. Riak KV

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonBaseX  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonKinetica  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceLight-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.Fully vectorized database across both GPUs and CPUsDistributed, fault tolerant key-value store
Primary database modelDocument storeNative XML DBMSDocument storeRelational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
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
Websiteaws.amazon.com/­documentdbbasex.orgfirebase.google.com/­products/­firestorewww.kinetica.com
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.basex.orgfirebase.google.com/­docs/­firestoredocs.kinetica.comwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperBaseX GmbHGoogleKineticaOpenSource, formerly Basho Technologies
Initial release20192007201720122009
Current release11.0, June 20247.1, August 20213.2.0, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoBSD licensecommercialcommercialOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++Erlang
Server operating systemshostedLinux
OS X
Windows
hostedLinuxLinux
OS X
Data schemeschema-freeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesno infoXQuery supports typesyesyesno
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 indexesyesyesyesyesrestricted
SQL infoSupport of SQLnononoSQL-like DML and DDL statementsno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Java API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
HTTP API
Native Erlang Interface
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Actionscript
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++
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 proceduresnoyesyes, Firebase Rules & Cloud Functionsuser defined functionsErlang
Triggersnoyes infovia eventsyes, with Cloud Functionsyes 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 nodesnonenoneShardingShardingSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasnoneMulti-source replicationSource-replica replicationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noUsing Cloud Dataflownoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonoyesno infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsmultiple readers, single writeryesnono
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.yes infoGPU vRAM or System RAM
User concepts infoAccess controlAccess rights for users and rolesUsers 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 and roles on table levelyes, using Riak Security

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More resources
Amazon DocumentDBBaseXGoogle Cloud FirestoreKineticaRiak KV
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