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DBMS > Amazon Neptune vs. Bangdb vs. OpenEdge vs. OrigoDB vs. Realm

System Properties Comparison Amazon Neptune vs. Bangdb vs. OpenEdge vs. OrigoDB vs. Realm

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonBangdb  Xexclude from comparisonOpenEdge  Xexclude from comparisonOrigoDB  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudConverged and high performance database for device data, events, time series, document and graphApplication development environment with integrated database management systemA fully ACID in-memory object graph databaseA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelGraph DBMS
RDF store
Document store
Graph DBMS
Time Series DBMS
Relational DBMSDocument store
Object oriented DBMS
Document store
Secondary database modelsSpatial 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
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score3.51
Rank#86  Overall
#46  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Websiteaws.amazon.com/­neptunebangdb.comwww.progress.com/­openedgeorigodb.comrealm.io
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.bangdb.comdocumentation.progress.com/­output/­ua/­OpenEdge_latestorigodb.com/­docsrealm.io/­docs
DeveloperAmazonSachin Sinha, BangDBProgress Software CorporationRobert Friberg et alRealm, acquired by MongoDB in May 2019
Initial release2017201219842009 infounder the name LiveDB2014
Current releaseBangDB 2.0, October 2021OpenEdge 12.2, March 2020
License infoCommercial or Open SourcecommercialOpen Source infoBSD 3commercialOpen SourceOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C#
Server operating systemshostedLinuxAIX
HP-UX
Linux
Solaris
Windows
Linux
Windows
Android
Backend: server-less
iOS
Windows
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyes: string, long, double, int, geospatial, stream, eventsyesUser defined using .NET types and collectionsyes
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 infocan be achieved using .NETno
Secondary indexesnoyes infosecondary, composite, nested, reverse, geospatialyesyesyes
SQL infoSupport of SQLnoSQL like support with command line toolyes infoclose to SQL 92nono
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
Proprietary protocol
RESTful HTTP API
JDBC
ODBC
.NET Client API
HTTP API
LINQ
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C
C#
C++
Java
Python
Progress proprietary ABL (Advanced Business Language).Net.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresnonoyesyesno inforuns within the applications so server-side scripts are unnecessary
Triggersnoyes, Notifications (with Streaming only)yesyes infoDomain Eventsyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesnoneSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmhorizontal partitioning infosince Version 11.4horizontal partitioning infoclient side managed; servers are not synchronizednone
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, Knob for CAP (enterprise version only)Source-replica replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyesdepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyes, implements WAL (Write ahead log) as wellyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modenoyesyes infoIn-Memory realm
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yes (enterprise version only)Users and groupsRole based authorizationyes

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More resources
Amazon NeptuneBangdbOpenEdgeOrigoDBRealm
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