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DBMS > Amazon DocumentDB vs. EJDB vs. GraphDB vs. Hypertable

System Properties Comparison Amazon DocumentDB vs. EJDB vs. GraphDB vs. Hypertable

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonEJDB  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonHypertable  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Enterprise-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.An open source BigTable implementation based on distributed file systems such as Hadoop
Primary database modelDocument storeDocument storeGraph DBMS
RDF store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score0.31
Rank#296  Overall
#44  Document stores
Score3.25
Rank#91  Overall
#7  Graph DBMS
#4  RDF stores
Websiteaws.amazon.com/­documentdbgithub.com/­Softmotions/­ejdbwww.ontotext.com
Technical documentationaws.amazon.com/­documentdb/­resourcesgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdgraphdb.ontotext.com/­documentation
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperSoftmotionsOntotextHypertable Inc.
Initial release2019201220002009
Current release10.4, October 20230.9.8.11, March 2016
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2commercial infoSome plugins of GraphDB Workbench are open sourcedOpen Source infoGNU version 3. Commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaC++
Server operating systemshostedserver-lessAll OS with a Java VM
Linux
OS X
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
Data schemeschema-freeschema-freeschema-free and OWL/RDFS-schema support; RDF shapesschema-free
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idyesno
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 indexesyesnoyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesrestricted infoonly exact value or prefix value scans
SQL infoSupport of SQLnonostored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)in-process shared libraryGeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
C++ API
Thrift
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C++
Java
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonowell-defined plugin interfaces; JavaScript server-side extensibilityno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnonenonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasnoneMulti-source replicationselectable replication factor on file system level
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Immediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleno infotypically not needed, however similar functionality with collection joins possibleyes infoConstraint checkingno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyesyes
Durability infoSupport for making data persistentyesyesyesyes
User concepts infoAccess controlAccess rights for users and rolesnoDefault 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.no
More information provided by the system vendor
Amazon DocumentDBEJDBGraphDB infoformer name: OWLIMHypertable
Specific characteristicsOntotext GraphDB is a semantic database engine that allows organizations to build...
» 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 data publishing, semantic inferencing...
» more
Key customers​ GraphDB provides a platform for building next-generation AI and Knowledge Graph...
» more
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
Licensing and pricing modelsGraphDB Free is a non-commercial version and is free to use. GraphDB Enterprise edition...
» more
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