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DBMS > Amazon DocumentDB vs. BaseX vs. Datomic vs. Google Cloud Firestore

System Properties Comparison Amazon DocumentDB vs. BaseX vs. Datomic vs. Google Cloud Firestore

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonBaseX  Xexclude from comparisonDatomic  Xexclude from comparisonGoogle Cloud Firestore  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.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityCloud 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.
Primary database modelDocument storeNative XML DBMSRelational DBMSDocument store
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
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score7.36
Rank#53  Overall
#9  Document stores
Websiteaws.amazon.com/­documentdbbasex.orgwww.datomic.comfirebase.google.com/­products/­firestore
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.basex.orgdocs.datomic.comfirebase.google.com/­docs/­firestore
DeveloperBaseX GmbHCognitectGoogle
Initial release2019200720122017
Current release10.7, August 20231.0.6735, June 2023
License infoCommercial or Open SourcecommercialOpen Source infoBSD licensecommercial infolimited edition freecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, Clojure
Server operating systemshostedLinux
OS X
Windows
All OS with a Java VMhosted
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesno infoXQuery supports typesyesyes
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.nonono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnononono
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Java API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
RESTful HTTP APIAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
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
Clojure
Java
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Server-side scripts infoStored proceduresnoyesyes infoTransaction Functionsyes, Firebase Rules & Cloud Functions
Triggersnoyes infovia eventsBy using transaction functionsyes, with Cloud Functions
Partitioning methods infoMethods for storing different data on different nodesnonenonenone infoBut extensive use of caching in the application peersSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasnonenone infoBut extensive use of caching in the application peersMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonoUsing Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsmultiple readers, single writerACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and development
User concepts infoAccess controlAccess rights for users and rolesUsers with fine-grained authorization concept on 4 levelsnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.

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More resources
Amazon DocumentDBBaseXDatomicGoogle Cloud Firestore
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