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DBMS > Amazon DocumentDB vs. eXtremeDB vs. GraphDB vs. GridDB

System Properties Comparison Amazon DocumentDB vs. eXtremeDB vs. GraphDB vs. GridDB

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisoneXtremeDB  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonGridDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceNatively in-memory DBMS with options for persistency, high-availability and clusteringEnterprise-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.Scalable in-memory time series database optimized for IoT and Big Data
Primary database modelDocument storeRelational DBMS
Time Series DBMS
Graph DBMS
RDF store
Time Series DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score3.32
Rank#91  Overall
#6  Graph DBMS
#4  RDF stores
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Websiteaws.amazon.com/­documentdbwww.mcobject.comwww.ontotext.comgriddb.net
Technical documentationaws.amazon.com/­documentdb/­resourceswww.mcobject.com/­docs/­extremedb.htmgraphdb.ontotext.com/­documentationdocs.griddb.net
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperMcObjectOntotextToshiba Corporation
Initial release2019200120002013
Current release8.2, 202110.4, October 20235.1, August 2022
License infoCommercial or Open Sourcecommercialcommercialcommercial infoSome plugins of GraphDB Workbench are open sourcedOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++JavaC++
Server operating systemshostedAIX
HP-UX
Linux
macOS
Solaris
Windows
All OS with a Java VM
Linux
OS X
Windows
Linux
Data schemeschema-freeyesschema-free and OWL/RDFS-schema support; RDF shapesyes
Typing infopredefined data types such as float or dateyesyesyesyes infonumerical, string, blob, geometry, boolean, timestamp
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 infosupport of XML interfaces availablenono
Secondary indexesyesyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyes
SQL infoSupport of SQLnoyes infowith the option: eXtremeSQLstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCSQL92, SQL-like TQL (Toshiba Query Language)
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible).NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
GeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.Net
C
C#
C++
Java
Lua
Python
Scala
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyeswell-defined plugin interfaces; JavaScript server-side extensibilityno
Triggersnoyes infoby defining eventsnoyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning / shardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
Multi-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Immediate consistency within container, eventual consistency across containers
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesyes infoConstraint checkingno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDACIDACID at container level
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes
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.yesyes
User concepts infoAccess controlAccess rights for users and rolesDefault 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.Access rights for users can be defined per database
More information provided by the system vendor
Amazon DocumentDBeXtremeDBGraphDB infoformer name: OWLIMGridDB
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
Ontotext GraphDB is a semantic database engine that allows organizations to build...
» more
GridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
GraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Metadata enrichment and management, linked data publishing, semantic inferencing...
» more
Factory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
​ GraphDB provides a platform for building next-generation AI and Knowledge Graph...
» more
Denso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
GraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
GitHub trending repository
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more
GraphDB Free is a non-commercial version and is free to use. GraphDB Enterprise edition...
» more
Open Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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Amazon DocumentDBeXtremeDBGraphDB infoformer name: OWLIMGridDB
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