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DBMS > AllegroGraph vs. Google Cloud Firestore vs. Oracle Berkeley DB vs. RDFox

System Properties Comparison AllegroGraph vs. Google Cloud Firestore vs. Oracle Berkeley DB vs. RDFox

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonRDFox  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSCloud 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.Widely used in-process key-value storeHigh performance knowledge graph and semantic reasoning engine
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Document storeKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Graph DBMS
RDF store
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.06
Rank#187  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score7.85
Rank#51  Overall
#8  Document stores
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score0.23
Rank#308  Overall
#25  Graph DBMS
#14  RDF stores
Websiteallegrograph.comfirebase.google.com/­products/­firestorewww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.oxfordsemantic.tech
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlfirebase.google.com/­docs/­firestoredocs.oracle.com/­cd/­E17076_05/­html/­index.htmldocs.oxfordsemantic.tech
DeveloperFranz Inc.GoogleOracle infooriginally developed by Sleepycat, which was acquired by OracleOxford Semantic Technologies
Initial release2004201719942017
Current release8.0, December 202318.1.40, May 20206.0, Septermber 2022
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialOpen Source infocommercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, Java, C++ (depending on the Berkeley DB edition)C++
Server operating systemsLinux
OS X
Windows
hostedAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
macOS
Windows
Data schemeyes infoRDF schemasschema-freeschema-freeyes infoRDF schemas
Typing infopredefined data types such as float or dateyesyesnoyes
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.no infobulk load of XML files possiblenoyes infoonly with the Berkeley DB XML edition
Secondary indexesyesyesyes
SQL infoSupport of SQLSPARQL is used as query languagenoyes infoSQL interfaced based on SQLite is availableno
APIs and other access methodsRESTful HTTP API
SPARQL
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
RESTful HTTP API
SPARQL 1.1
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
C
Java
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispyes, Firebase Rules & Cloud Functionsno
Triggersyesyes, with Cloud Functionsyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replicationSource-replica replicationreplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
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.noyesyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.noRoles, resources, and access types
More information provided by the system vendor
AllegroGraphGoogle Cloud FirestoreOracle Berkeley DBRDFox
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
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