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DBMS > Amazon Neptune vs. Hypertable vs. IBM Cloudant vs. Stardog vs. Yanza

System Properties Comparison Amazon Neptune vs. Hypertable vs. IBM Cloudant vs. Stardog vs. Yanza

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonHypertable  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonStardog  Xexclude from comparisonYanza  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionFast, reliable graph database built for the cloudAn open source BigTable implementation based on distributed file systems such as HadoopDatabase as a Service offering based on Apache CouchDBEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationTime Series DBMS for IoT Applications
Primary database modelGraph DBMS
RDF store
Wide column storeDocument storeGraph DBMS
RDF store
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score2.75
Rank#104  Overall
#19  Document stores
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Websiteaws.amazon.com/­neptunewww.ibm.com/­products/­cloudantwww.stardog.comyanza.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcescloud.ibm.com/­docs/­Cloudantdocs.stardog.com
DeveloperAmazonHypertable Inc.IBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Stardog-UnionYanza
Initial release20172009201020102015
Current release0.9.8.11, March 20167.3.0, May 2020
License infoCommercial or Open SourcecommercialOpen Source infoGNU version 3. Commercial license availablecommercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentscommercial infofree version available
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ErlangJava
Server operating systemshostedLinux
OS X
Windows infoan inofficial Windows port is available
hostedLinux
macOS
Windows
Windows
Data schemeschema-freeschema-freeschema-freeschema-free and OWL/RDFS-schema supportschema-free
Typing infopredefined data types such as float or dateyesnonoyesno
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 infoImport/export of XML data possibleno
Secondary indexesnorestricted infoonly exact value or prefix value scansyesyes infosupports real-time indexing in full-text and geospatialno
SQL infoSupport of SQLnononoYes, compatible with all major SQL variants through dedicated BI/SQL Serverno
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
C++ API
Thrift
RESTful HTTP/JSON APIGraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
HTTP API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C++
Java
Perl
PHP
Python
Ruby
C#
Java
JavaScript
Objective-C
PHP
Ruby
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
any language that supports HTTP calls
Server-side scripts infoStored proceduresnonoView functions (Map-Reduce) in JavaScriptuser defined functions and aggregates, HTTP Server extensions in Javano
Triggersnonoyesyes infovia event handlersyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.selectable replication factor on file system levelMulti-source replication
Source-replica replication
Multi-source replication in HA-Clusternone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency in HA-ClusterImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnonoyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono infoatomic operations within a document possibleACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic lockingyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noAccess rights for users can be defined per databaseAccess rights for users and rolesno

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More resources
Amazon NeptuneHypertableIBM CloudantStardogYanza
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