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DBMS > Amazon DocumentDB vs. Coveo vs. Geode vs. RDF4J

System Properties Comparison Amazon DocumentDB vs. Coveo vs. Geode vs. RDF4J

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonCoveo  Xexclude from comparisonGeode  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelDocument storeSearch engineKey-value storeRDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score2.11
Rank#118  Overall
#11  Search engines
Score1.86
Rank#134  Overall
#24  Key-value stores
Score0.74
Rank#222  Overall
#9  RDF stores
Websiteaws.amazon.com/­documentdbwww.coveo.comgeode.apache.orgrdf4j.org
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.coveo.comgeode.apache.org/­docsrdf4j.org/­documentation
DeveloperCoveoOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release2019201220022004
Current release1.1, February 2017
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemshostedhostedAll OS with a Java VM infothe JDK (8 or later) is also requiredLinux
OS X
Unix
Windows
Data schemeschema-freehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationschema-freeyes infoRDF Schemas
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.nonono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLnonoSQL-like query language (OQL)no
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)RESTful HTTP APIJava Client API
Memcached protocol
RESTful HTTP API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C#
Java
JavaScript
Python
.Net
All JVM based languages
C++
Groovy
Java
Scala
Java
PHP
Python
Server-side scripts infoStored proceduresnonouser defined functionsyes
Triggersnoyesyes infoCache Event Listenersyes
Partitioning methods infoMethods for storing different data on different nodesnoneyesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyesMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsyesyes, on a single nodeACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess rights for users and rolesgranular access controls, API key management, content filtersAccess rights per client and object definableno

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More resources
Amazon DocumentDBCoveoGeodeRDF4J infoformerly known as Sesame
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