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DBMS > Amazon Neptune vs. EJDB vs. OpenEdge vs. Realm vs. Vitess

System Properties Comparison Amazon Neptune vs. EJDB vs. OpenEdge vs. Realm vs. Vitess

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonEJDB  Xexclude from comparisonOpenEdge  Xexclude from comparisonRealm  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Application development environment with integrated database management systemA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelGraph DBMS
RDF store
Document storeRelational DBMSDocument storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score0.27
Rank#297  Overall
#44  Document stores
Score3.51
Rank#86  Overall
#46  Relational DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Score0.82
Rank#209  Overall
#97  Relational DBMS
Websiteaws.amazon.com/­neptunegithub.com/­Softmotions/­ejdbwww.progress.com/­openedgerealm.iovitess.io
Technical documentationaws.amazon.com/­neptune/­developer-resourcesgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocumentation.progress.com/­output/­ua/­OpenEdge_latestrealm.io/­docsvitess.io/­docs
DeveloperAmazonSoftmotionsProgress Software CorporationRealm, acquired by MongoDB in May 2019The Linux Foundation, PlanetScale
Initial release20172012198420142013
Current releaseOpenEdge 12.2, March 202015.0.2, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2commercialOpen SourceOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCGo
Server operating systemshostedserver-lessAIX
HP-UX
Linux
Solaris
Windows
Android
Backend: server-less
iOS
Windows
Docker
Linux
macOS
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idyesyesyes
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.noyesno
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLnonoyes infoclose to SQL 92noyes infowith proprietary extensions
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
in-process shared libraryJDBC
ODBC
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
Progress proprietary ABL (Advanced Business Language).Net
Java infowith Android only
Objective-C
React Native
Swift
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnonoyesno inforuns within the applications so server-side scripts are unnecessaryyes infoproprietary syntax
Triggersnonoyesyes infoChange Listenersyes
Partitioning methods infoMethods for storing different data on different nodesnonenonehorizontal partitioning infosince Version 11.4noneSharding
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.noneSource-replica replicationnoneMulti-source replication
Source-replica replication
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
Foreign keys infoReferential integrityyes infoRelationships in graphsno infotypically not needed, however similar functionality with collection joins possibleyesnoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyesyes infotable locks or row locks depending on storage engine
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 infoIn-Memory realmyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noUsers and groupsyesUsers with fine-grained authorization concept infono user groups or roles

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More resources
Amazon NeptuneEJDBOpenEdgeRealmVitess
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