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DBMS > Amazon CloudSearch vs. GraphDB vs. HugeGraph

System Properties Comparison Amazon CloudSearch vs. GraphDB vs. HugeGraph

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonHugeGraph  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudEnterprise RDF and graph database with efficient reasoning, cluster and external index synchronization supportA fast-speed and highly-scalable Graph DBMS
Primary database modelSearch engineGraph DBMS
RDF store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.69
Rank#93  Overall
#10  Search engines
Score1.11
Rank#137  Overall
#8  Graph DBMS
#5  RDF stores
Score0.08
Rank#303  Overall
#29  Graph DBMS
Websiteaws.amazon.com/­cloudsearchgraphdb.ontotext.comgithub.com/­hugegraph
Technical documentationdocs.aws.amazon.com/­cloudsearchgraphdb.ontotext.com/­documentationhugegraph.github.io/­hugegraph-doc
DeveloperAmazonOntotextBaidu
Initial release201220002018
Current release8.8, January 20190.9
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesno 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 systemshostedAll OS with a Java VM
Linux
OS X
Windows
Linux
macOS
Unix
Data schemeyesschema-free and OWL/RDFS-schema supportyes
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
Secondary indexesyes infoall search fields are automatically indexedyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyes infoalso supports composite index and range index
SQL infoSupport of SQLnoSPARQL is used as query languageno
APIs and other access methodsHTTP APIGeoSPARQL
Java API
RDF4J API
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
Java API
RESTful HTTP API
TinkerPop Gremlin
Supported programming languages.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Groovy
Java
Python
Server-side scripts infoStored proceduresnoJava Server Pluginasynchronous Gremlin script jobs
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requirednoneyes infodepending on used storage backend, e.g. Cassandra and HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSMaster-master replicationyes infodepending on used storage backend, e.g. Cassandra and HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonovia hugegraph-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Eventual Consistency
Foreign keys infoReferential integritynoyes infoConstraint checkingyes infoedges in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
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 controlauthentication via encrypted signaturesyesUsers, roles and permissions
More information provided by the system vendor
Amazon CloudSearchGraphDB infoformer name: OWLIMHugeGraph
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

Artificial Intelligence and the Knowledge Graph
10 October 2019

Semantic Technology-based Media Publishing Boosts User Engagement
26 September 2019

Semantic Search or Knowing Your Customers So Well, You Can Finish Their Sentences For Them
10 September 2019

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16 August 2019

Smart Analysis of Pharma Research Literature Makes Novel Therapy Identification Easier
8 August 2019

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Amazon CloudSearchGraphDB infoformer name: OWLIMHugeGraph
DB-Engines blog posts

Amazon - the rising star in the DBMS market
3 August 2015, Matthias Gelbmann

The DB-Engines ranking includes now search engines
4 February 2013, Paul Andlinger

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Recent citations in the news

Enterprise Semantic Search Software Market 2019- 2025 | SharePoint, IBM, Lucidworks, Microsoft FAST, Oracle, Amazon CloudSearch, Apache Lucene and Attivio
15 October 2019, Market Report Gazette

Enterprise Search Software Market 2019-2025 | Swiftype, Algolia, Elasticsearch, Apache Solr, SearchSpring, AddSearch, SLI Systems, Amazon CloudSearch, Coveo, FishEye and Inbenta
7 October 2019, Market Expert

Enterprise Search Software Market Will Generate New Growth Opportunities By 2027| Leading Key Players like Swiftype, Algolia, Elasticsearch, Apache Solr, SearchSpring, AddSearch, SLI Systems, Amazon CloudSearch, Coveo, FishEye, and Inbenta
8 October 2019, Market Expert

Enterprise Search Software Market 2019 Valuable Growth Prospects and Upcoming Trends till 2027 with Swiftype, Algolia, Elasticsearch, Apache Solr, SearchSpring, AddSearch, SLI Systems, Amazon CloudSearch, Coveo, FishEye, and Inbenta
1 October 2019, Market Expert

Global Enterprise Semantic Search Software Market Analysis, By Product, By Method And Segment Forecasts 2019-2024
25 September 2019, News Coed

provided by Google News

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

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

Ontotext GraphDB - Handling Massive Loads, Queries and Inferencing in Real Time.
10 July 2019, KMWorld Magazine

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

provided by Google News

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