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DBMS > Amazon Neptune vs. HarperDB vs. OpenEdge vs. Vitess vs. Yanza

System Properties Comparison Amazon Neptune vs. HarperDB vs. OpenEdge vs. Vitess vs. Yanza

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonHarperDB  Xexclude from comparisonOpenEdge  Xexclude from comparisonVitess  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 cloudUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Application development environment with integrated database management systemScalable, distributed, cloud-native DBMS, extending MySQLTime Series DBMS for IoT Applications
Primary database modelGraph DBMS
RDF store
Document storeRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial 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
Score0.60
Rank#244  Overall
#38  Document stores
Score3.45
Rank#85  Overall
#46  Relational DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websiteaws.amazon.com/­neptunewww.harperdb.iowww.progress.com/­openedgevitess.ioyanza.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.harperdb.io/­docsdocumentation.progress.com/­output/­ua/­OpenEdge_latestvitess.io/­docs
DeveloperAmazonHarperDBProgress Software CorporationThe Linux Foundation, PlanetScaleYanza
Initial release20172017198420132015
Current release3.1, August 2021OpenEdge 12.2, March 202015.0.2, December 2022
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availablecommercialOpen Source infoApache Version 2.0, commercial licenses availablecommercial 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 languageNode.jsGo
Server operating systemshostedLinux
OS X
AIX
HP-UX
Linux
Solaris
Windows
Docker
Linux
macOS
Windows
Data schemeschema-freedynamic schemayesyesschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyesyesno
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
Secondary indexesnoyesyesyesno
SQL infoSupport of SQLnoSQL-like data manipulation statementsyes infoclose to SQL 92yes infowith proprietary extensionsno
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
JDBC
ODBC
ADO.NET
JDBC
MySQL protocol
ODBC
HTTP API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
Progress proprietary ABL (Advanced Business Language)Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
any language that supports HTTP calls
Server-side scripts infoStored proceduresnoCustom Functions infosince release 3.1yesyes infoproprietary syntaxno
Triggersnonoyesyesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesnoneA table resides as a whole on one (or more) nodes in a clusterhorizontal partitioning infosince Version 11.4Shardingnone
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.yes infothe nodes on which a table resides can be definedSource-replica replicationMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Immediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyesyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACIDACID at shard levelno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyes, using LMDByesyesyes
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 rights for users and rolesUsers and groupsUsers with fine-grained authorization concept infono user groups or rolesno

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More resources
Amazon NeptuneHarperDBOpenEdgeVitessYanza
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