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DBMS > Alibaba Cloud HybridDB vs. Amazon CloudSearch vs. GraphDB vs. Hawkular Metrics

System Properties Comparison Alibaba Cloud HybridDB vs. Amazon CloudSearch vs. GraphDB vs. Hawkular Metrics

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Editorial information provided by DB-Engines
NameAlibaba Cloud HybridDB  Xexclude from comparisonAmazon CloudSearch  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonHawkular Metrics  Xexclude from comparison
DescriptionHybridDB is an online MPP (Massively Parallel Processing) data warehousing service based on GreenplumA 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 supportHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.
Primary database modelRelational DBMSSearch engineGraph DBMS
RDF store
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#234  Overall
#109  Relational DBMS
Score3.06
Rank#86  Overall
#9  Search engines
Score1.14
Rank#137  Overall
#8  Graph DBMS
#5  RDF stores
Score0.07
Rank#297  Overall
#23  Time Series DBMS
Websitewww.alibabacloud.com/­product/­hybriddb-postgresqlaws.amazon.com/­cloudsearchgraphdb.ontotext.comwww.hawkular.org
Technical documentationwww.alibabacloud.com/­help/­doc-detail/­35387.htmdocs.aws.amazon.com/­cloudsearchgraphdb.ontotext.com/­documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guide
DeveloperAlibaba / Pivotal Software Inc. / PostgreSQL Global Development GroupAmazonOntotextCommunity supported by Red Hat
Initial release2016201220002014
Current release8.8, January 2019
License infoCommercial or Open Sourcecommercialcommercialcommercial infolimited edition freeOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesno 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 systemshostedhostedAll OS with a Java VM
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeyesyesschema-free and OWL/RDFS-schema supportschema-free
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.yesnono
Secondary indexesyesyes infoall search fields are automatically indexedyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesno
SQL infoSupport of SQLyesnoSPARQL is used as query languageno
APIs and other access methodsJDBC
ODBC
HTTP APIGeoSPARQL
Java API
RDF4J API
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
HTTP REST
Supported programming languagesC
Java
Perl
Python
R
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Go
Java
Python
Ruby
Server-side scripts infoStored proceduresyesnoJava Server Pluginno
Triggersyesnonoyes infovia Hawkular Alerting
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceyes infoautomatic partitioning across Amazon Search Instance as requirednoneSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyes infomanaged transparently by AWSMaster-master replicationselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityyesnoyes infoConstraint checkingno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardauthentication via encrypted signaturesyesno
More information provided by the system vendor
Alibaba Cloud HybridDBAmazon CloudSearchGraphDB infoformer name: OWLIMHawkular Metrics
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.

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More resources
Alibaba Cloud HybridDBAmazon CloudSearchGraphDB infoformer name: OWLIMHawkular Metrics
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Ontotext Platform – the Fast Track from an RDF Model to a Knowledge Graph
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