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DBMS > AllegroGraph vs. GigaSpaces vs. Google BigQuery vs. PouchDB

System Properties Comparison AllegroGraph vs. GigaSpaces vs. Google BigQuery vs. PouchDB

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonGigaSpaces  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsLarge scale data warehouse service with append-only tablesJavaScript DBMS with an API inspired by CouchDB
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Document store
Object oriented DBMS infoValues are user defined objects
Relational DBMSDocument store
Secondary database modelsSpatial DBMSGraph DBMS
Search engine
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
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Websiteallegrograph.comwww.gigaspaces.comcloud.google.com/­bigquerypouchdb.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.gigaspaces.com/­latest/­landing.htmlcloud.google.com/­bigquery/­docspouchdb.com/­guides
DeveloperFranz Inc.Gigaspaces TechnologiesGoogleApache Software Foundation
Initial release2004200020102012
Current release8.0, December 202315.5, September 20207.1.1, June 2019
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache Version 2; Commercial licenses availablecommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetJavaScript
Server operating systemsLinux
OS X
Windows
Linux
macOS
Solaris
Windows
hostedserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeyes infoRDF schemasschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 possibleno infoXML can be used for describing objects metadatanono
Secondary indexesyesyesnoyes infovia views
SQL infoSupport of SQLSPARQL is used as query languageSQL-99 for query and DML statementsyesno
APIs and other access methodsRESTful HTTP API
SPARQL
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
RESTful HTTP/JSON APIHTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
.Net
C++
Java
Python
Scala
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
JavaScript
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispyesuser defined functions infoin JavaScriptView functions in JavaScript
Triggersyesyes, event driven architecturenoyes
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingnoneSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno infoSince BigQuery is designed for querying datano
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationRole-based access controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)no
More information provided by the system vendor
AllegroGraphGigaSpacesGoogle BigQueryPouchDB
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
News

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9 February 2024

What is Neuro-Symbolic AI?
23 January 2024

Allegro CL v11 – Now Available! – The Neuro-Symbolic AI Programming Platform
8 January 2024

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More resources
AllegroGraphGigaSpacesGoogle BigQueryPouchDB
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