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DBMS > Amazon CloudSearch vs. GraphDB vs. Memgraph vs. Teradata

System Properties Comparison Amazon CloudSearch vs. GraphDB vs. Memgraph vs. Teradata

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonMemgraph  Xexclude from comparisonTeradata  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 hybrid, in-memory first, distributed graph DBMS delivering high-performance on analytical and transactional workloads at enterprise scaleA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelSearch engineGraph DBMS
RDF store
Graph DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.59
Rank#91  Overall
#10  Search engines
Score1.19
Rank#136  Overall
#8  Graph DBMS
#5  RDF stores
Score0.07
Rank#309  Overall
#28  Graph DBMS
Score73.89
Rank#15  Overall
#10  Relational DBMS
Websiteaws.amazon.com/­cloudsearchgraphdb.ontotext.commemgraph.comwww.teradata.com
Technical documentationdocs.aws.amazon.com/­cloudsearchgraphdb.ontotext.com/­documentationdocs.memgraph.comdocs.teradata.com
DeveloperAmazonOntotextMemgraph LtdTeradata
Initial release2012200020171984
Current release8.8, January 2019Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freecommercial infoFree license availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesno infoNamed S4, Ontotext provides a semantic graph database based on GraphDB in the cloud.nono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++
Server operating systemshostedAll OS with a Java VM
Linux
OS X
Windows
Linuxhosted
Linux
Data schemeyesschema-free and OWL/RDFS-schema supportschema-free and schema-optionalyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyes
Secondary indexesyes infoall search fields are automatically indexedyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLnoSPARQL is used as query languagenoyes infoSQL 2016 + extensions
APIs and other access methodsHTTP APIGeoSPARQL
Java API
RDF4J API
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
Bolt protocol
Cypher query language
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languages.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresnoJava Server Pluginyes infoUDFs, stored procedures, table functions in parallel
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requirednoneSharding infodynamic graph partitioningSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSMaster-master replicationMulti-Master replication using RAFTMaster-master replication
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoConstraint checkingyes inforelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infowith snapshot isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlauthentication via encrypted signaturesyesUsers, roles and permissionsfine grained access rights according to SQL-standard
More information provided by the system vendor
Amazon CloudSearchGraphDB infoformer name: OWLIMMemgraphTeradata
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

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18 May 2020

Knowledge Graph Conference 2020 Recap: Knowledge Graphs Are Getting Into the Limelight
15 May 2020

Return of the Jedi: Ontotext Platform Metamorphosis
21 April 2020

GraphDB Empowers Scientific Projects to Fight COVID-19 and Publish Knowledge Graphs
15 April 2020

Ontotext’s GraphDB Builds a Thriving Community of Expert Followers
2 April 2020

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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: OWLIMMemgraphTeradata
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Conferences and events

GraphDB Fundamentals: Adding Meaning to Your Data
Webinar, 4pm GMT, 8am PST, 5pm CET, 25 March 2020 (finished)

GraphDB 9.2 Supports RDF* to Match the Expressivity of Property Graphs
Webinar, 5 pm CEST / 12 pm EDT / 6 pm EEST, 14 May 2020 (finished)

Recent citations in the news

Enterprise Search Software Market Industry Size, Share, Growth Opportunities and Future Outlook to 2026| Swiftype, Algolia, Elasticsearch, Apache Solr, SearchSpring, AddSearch, SLI Systems, and more
27 May 2020, News Distinct

Enterprise Search Software Market 2020: Potential Growth, Challenges, and Know the Companies List Could Potentially Benefit or Loose out From the Impact of COVID-19 | Key Players: Swiftype, Algolia, Elasticsearch, Apache Solr, SearchSpring
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Amazon CloudSearch: Just What You Were Looking For?
11 September 2016, Wired News

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24 January 2014, TechTarget

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Ontotext Platform 3.0 for Enterprise Knowledge Graphs Released
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3 October 2019, PRNewswire

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