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DBMS > ArcadeDB vs. GigaSpaces vs. GraphDB

System Properties Comparison ArcadeDB vs. GigaSpaces vs. GraphDB

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Editorial information provided by DB-Engines
NameArcadeDB  Xexclude from comparisonGigaSpaces  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparison
DescriptionFast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewrittenHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsEnterprise-ready RDF and graph database with efficient reasoning, cluster and external index synchronization support. It supports also SQL JDBC access to Knowledge Graph and GraphQL over SPARQL.
Primary database modelDocument store
Graph DBMS
Key-value store
Time Series DBMS infoin next version
Document store
Object oriented DBMS infoValues are user defined objects
Graph DBMS
RDF store
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#289  Overall
#43  Document stores
#26  Graph DBMS
#42  Key-value stores
#22  Time Series DBMS
Score1.24
Rank#185  Overall
#32  Document stores
#7  Object oriented DBMS
Score2.53
Rank#124  Overall
#8  Graph DBMS
#5  RDF stores
Websitearcadedb.comwww.gigaspaces.comwww.ontotext.com
Technical documentationdocs.arcadedb.comdocs.gigaspaces.com/­latest/­landing.htmlgraphdb.ontotext.com/­documentation
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperArcade DataGigaspaces TechnologiesOntotext
Initial release202120002000
Current releaseSeptember 202115.5, September 20209.8, June 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; Commercial licenses availablecommercial infoSome plugins of GraphDB Workbench are open sourced
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, C++, .NetJava
Server operating systemsAll OS with a Java VMLinux
macOS
Solaris
Windows
All OS with a Java VM
Linux
OS X
Windows
Data schemeschema-freeschema-freeschema-free and OWL/RDFS-schema support; RDF shapes
Typing infopredefined data types such as float or dateyesyesyes
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.nono infoXML can be used for describing objects metadatano
Secondary indexesyesyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexes
SQL infoSupport of SQLSQL-like query language, no joinsSQL-99 for query and DML statementsstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBC
APIs and other access methodsJDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
GeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
Supported programming languagesJava.Net
C++
Java
Python
Scala
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyeswell-defined plugin interfaces; JavaScript server-side extensibility
Triggersyes, event driven architectureno
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)
Foreign keys infoReferential integrityyes inforelationship in graphsnoyes infoConstraint checking
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlRole-based access controlDefault Basic authentication through RDF4J client, or via Java when run with cURL, default token-based in the Workbench or via Rest API, optional access through OpenID or Kerberos single sign-on.
More information provided by the system vendor
ArcadeDBGigaSpacesGraphDB infoformer name: OWLIM
Specific characteristicsGraphDB Enterprise is a high-performance semantic repository created by Ontotext....
» more
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
Typical application scenariosMetadata enrichment and management, linked open data publishing, semantic inferencing...
» more
Key customersBBC, Press Association, Financial Times, DK, Euromoney, The British Museum, Getty...
» more
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
Licensing and pricing modelsGraphDB-Free is free to use. SE and Enterprise are licensed per CPU-Core used. Perpetual...
» more

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More resources
ArcadeDBGigaSpacesGraphDB infoformer name: OWLIM
Conferences and events

GraphDB 10.1 – An Easy Ride for Beginners & Seasoned Veterans
4pm GMT | 5pm CET, 1 December 2022 (finished)

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