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DBMS > Amazon Neptune vs. HBase vs. OpenEdge vs. Stardog vs. Yanza

System Properties Comparison Amazon Neptune vs. HBase vs. OpenEdge vs. Stardog vs. Yanza

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonHBase  Xexclude from comparisonOpenEdge  Xexclude from comparisonStardog  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionFast, reliable graph database built for the cloudWide-column store based on Apache Hadoop and on concepts of BigTableApplication development environment with integrated database management systemEnterprise 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 storeRelational DBMSGraph 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
Score27.97
Rank#26  Overall
#2  Wide column stores
Score3.45
Rank#85  Overall
#46  Relational DBMS
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Websiteaws.amazon.com/­neptunehbase.apache.orgwww.progress.com/­openedgewww.stardog.comyanza.com
Technical documentationaws.amazon.com/­neptune/­developer-resourceshbase.apache.org/­book.htmldocumentation.progress.com/­output/­ua/­OpenEdge_latestdocs.stardog.com
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by PowersetProgress Software CorporationStardog-UnionYanza
Initial release20172008198420102015
Current release2.3.4, January 2021OpenEdge 12.2, March 20207.3.0, May 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2commercialcommercial 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 serviceyesnononono 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 languageJavaJava
Server operating systemshostedLinux
Unix
Windows infousing Cygwin
AIX
HP-UX
Linux
Solaris
Windows
Linux
macOS
Windows
Windows
Data schemeschema-freeschema-free, schema definition possibleyesschema-free and OWL/RDFS-schema supportschema-free
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROyesyesno
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.nonoyesno infoImport/export of XML data possibleno
Secondary indexesnonoyesyes infosupports real-time indexing in full-text and geospatialno
SQL infoSupport of SQLnonoyes infoclose to SQL 92Yes, compatible with all major SQL variants through dedicated BI/SQL Serverno
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
Java API
RESTful HTTP API
Thrift
JDBC
ODBC
GraphQL 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
C#
C++
Groovy
Java
PHP
Python
Scala
Progress proprietary ABL (Advanced Business Language).Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
any language that supports HTTP calls
Server-side scripts infoStored proceduresnoyes infoCoprocessors in Javayesuser defined functions and aggregates, HTTP Server extensions in Javano
Triggersnoyesyesyes infovia event handlersyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning infosince Version 11.4nonenone
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.Multi-source replication
Source-replica replication
Source-replica replicationMulti-source replication in HA-Clusternone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency in HA-ClusterImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyesyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDSingle row ACID (across millions of columns)ACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesnoyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACUsers and groupsAccess rights for users and rolesno

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More resources
Amazon NeptuneHBaseOpenEdgeStardogYanza
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