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DBMS > AgensGraph vs. BaseX vs. Firebase Realtime Database vs. Google Cloud Datastore

System Properties Comparison AgensGraph vs. BaseX vs. Firebase Realtime Database vs. Google Cloud Datastore

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonBaseX  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud Platform
Primary database modelGraph DBMS
Relational DBMS
Native XML DBMSDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score1.84
Rank#135  Overall
#4  Native XML DBMS
Score13.64
Rank#39  Overall
#6  Document stores
Score4.36
Rank#72  Overall
#12  Document stores
Websitebitnine.net/­agensgraphbasex.orgfirebase.google.com/­products/­realtime-databasecloud.google.com/­datastore
Technical documentationbitnine.net/­documentationdocs.basex.orgfirebase.google.com/­docs/­databasecloud.google.com/­datastore/­docs
DeveloperBitnine Global Inc.BaseX GmbHGoogle infoacquired by Google 2014Google
Initial release2016200720122008
Current release2.1, December 201811.0, June 2024
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoBSD licensecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJava
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
hostedhosted
Data schemedepending on used data modelschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesno infoXQuery supports typesyesyes, details here
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 SQLyesnonoSQL-like query language (GQL)
APIs and other access methodsCypher Query Language
JDBC
Java API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
Android
iOS
JavaScript API
RESTful HTTP API
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
Supported programming languagesC
Java
JavaScript
Python
Actionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
Java
JavaScript
Objective-C
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesyeslimited functionality with using 'rules'using Google App Engine
Triggersnoyes infovia eventsCallbacks are triggered when data changesCallbacks using the Google Apps Engine
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneMulti-source replication using Paxos
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infousing Google Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.
Foreign keys infoReferential integrityyesnonoyes infovia ReferenceProperties or Ancestor paths
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDmultiple readers, single writeryesACID infoSerializable Isolation within Transactions, Read Committed outside of Transactions
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization concept on 4 levelsyes, based on authentication and database rulesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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More resources
AgensGraphBaseXFirebase Realtime DatabaseGoogle Cloud Datastore
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