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DBMS > AllegroGraph vs. Firebase Realtime Database vs. GeoSpock vs. Rockset

System Properties Comparison AllegroGraph vs. Firebase Realtime Database vs. GeoSpock vs. Rockset

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonGeoSpock  Xexclude from comparisonRockset  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Spatial and temporal data processing engine for extreme data scaleA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Document storeRelational DBMSDocument store
Secondary database modelsSpatial DBMSTime Series DBMSRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.13
Rank#179  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#8  Vector DBMS
Score13.64
Rank#39  Overall
#6  Document stores
Score0.82
Rank#212  Overall
#36  Document stores
Websiteallegrograph.comfirebase.google.com/­products/­realtime-databasegeospock.comrockset.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlfirebase.google.com/­docs/­databasedocs.rockset.com
DeveloperFranz Inc.Google infoacquired by Google 2014GeoSpockRockset
Initial release200420122019
Current release8.0, December 20232.0, September 2019
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptC++
Server operating systemsLinux
OS X
Windows
hostedhostedhosted
Data schemeyes infoRDF schemasschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesdynamic typing
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 possiblenonono infoingestion from XML files supported
Secondary indexesyesyestemporal, categoricalall fields are automatically indexed
SQL infoSupport of SQLSPARQL is used as query languagenoANSI SQL for query only (using Presto)Read-only SQL queries, including JOINs
APIs and other access methodsRESTful HTTP API
SPARQL
Android
iOS
JavaScript API
RESTful HTTP API
JDBCHTTP REST
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Java
JavaScript
Objective-C
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lisplimited functionality with using 'rules'nono
TriggersyesCallbacks are triggered when data changesnono
Partitioning methods infoMethods for storing different data on different nodeswith FederationAutomatic shardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesnono
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 controlUsers with fine-grained authorization concept, user roles and pluggable authenticationyes, based on authentication and database rulesAccess rights for users can be defined per tableAccess rights for users and organizations can be defined via Rockset console
More information provided by the system vendor
AllegroGraphFirebase Realtime DatabaseGeoSpockRockset
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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More resources
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