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DBMS > Google Search Appliance vs. GraphDB vs. RDF4J

System Properties Comparison Google Search Appliance vs. GraphDB vs. RDF4J

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Editorial information provided by DB-Engines
NameGoogle Search Appliance  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionThe Google Search Appliance consists of hardware and software for indexing documents in local networks.Enterprise RDF and graph database with efficient reasoning, cluster and external index synchronization supportRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelSearch engineGraph DBMS
RDF store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.81
Rank#91  Overall
#10  Search engines
Score1.14
Rank#137  Overall
#8  Graph DBMS
#5  RDF stores
Score0.39
Rank#220  Overall
#10  RDF stores
Websiteenterprise.google.com/­search/­products/­gsa.htmlgraphdb.ontotext.comrdf4j.org
Technical documentationsupport.google.com/­gsagraphdb.ontotext.com/­documentationdocs.rdf4j.org
DeveloperGoogleOntotextSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release200220002004
Current release8.8, January 2019
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenono infoNamed S4, Ontotext provides a semantic graph database based on GraphDB in the cloud.no
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava
Server operating systemsAll OS with a Java VM
Linux
OS X
Windows
Linux
OS X
Unix
Windows
Data schemeschema-free and OWL/RDFS-schema supportyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyes
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
Secondary indexesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyes
SQL infoSupport of SQLnoSPARQL is used as query languageno
APIs and other access methodsAdministrative API
Browser interface
HTTP API
GeoSPARQL
Java API
RDF4J API
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languages.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Java
PHP
Python
Server-side scripts infoStored proceduresJava Server Pluginyes
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationMaster-master replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)
Foreign keys infoReferential integritynoyes infoConstraint checking
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlUser authentication via various security protocolsyesno
More information provided by the system vendor
Google Search ApplianceGraphDB infoformer name: OWLIMRDF4J infoformerly known as Sesame
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
News

Ontotext’s Graph Database Helps Create EU-Wide Company Business Graph
23 January 2020

A Graphful of Investment Opportunities
10 January 2020

Ontotext’s Most Popular Blog Posts for 2019
30 December 2019

A New Hope: The Rise of the Knowledge Graph
6 December 2019

The New Improved and Open GraphDB
7 November 2019

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

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More resources
Google Search ApplianceGraphDB infoformer name: OWLIMRDF4J infoformerly known as Sesame
Conferences and events

Designing Semantic Technology Proof-of-Concept
Online Training, 13:00 – 18:00 UTC, 12 December 2019 (finished)

Ontotext Platform – the Fast Track from an RDF Model to a Knowledge Graph
Online Training, 4pm GMT, 17 December 2019 (finished)

Recent citations in the news

Elastic NV Search: Product Overview and Insight
15 January 2020, eWeek

Cognitive Data Management Market with Key Vendors like Wipro, Datum, Reltio, Talend, HPE, Oracle, Saksoft, Snaplogic, Strongbox Data Solutions, Immuta, Attivio
21 January 2020, NY Telecast 99

So Long Google Search Appliance
4 February 2016, Fortune

Google Search Appliance May Be Gone, But Category Lives On
27 May 2016, Fortune

What is a Google Search Appliance?
8 January 2014, TechRepublic

provided by Google News

It's just semantics: Bulgarian software dev Ontotext squeezes out GraphDB 9.1
15 January 2020, The Register

GraphDB 9.1 - the Database to Support High-quality Knowledge Graphs
13 January 2020, PRNewswire

Ontotext GraphDB Named Innovator in Bloor's Graph Database Market Research
11 February 2019, PRNewswire

Ontotext's GraphDB 8.10 Makes Knowledge Graph Experience Faster and Richer
13 June 2019, Yahoo Finance

Ontotext's GraphDB 9.0 Open-sources its Front-end and Engine Plugins to Empower Knowledge Graph Solutions
3 October 2019, PRNewswire

provided by Google News

Big data database Apache Rya becomes a Top Level Project
10 October 2019, JAXenter

Amazon Neptune review: A scalable graph database for OLTP
13 May 2019, InfoWorld

Ontotext's GraphDB 8.10 Makes Knowledge Graph Experience Faster and Richer
13 June 2019, Yahoo Finance

Trend-Setting Product of 2019: Ontotext: Ontotext GraphDB
8 July 2019, KMWorld Magazine

GraphDB 9.0 Open Sources Its Front End and Engine Plugins to Support Knowledge Graph Solutions
7 October 2019, Database Trends and Applications

provided by Google News

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