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DBMS > Amazon Neptune vs. BigchainDB vs. Microsoft Azure Table Storage vs. ObjectBox vs. Valentina Server

System Properties Comparison Amazon Neptune vs. BigchainDB vs. Microsoft Azure Table Storage vs. ObjectBox vs. Valentina Server

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonBigchainDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonObjectBox  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsA Wide Column Store for rapid development using massive semi-structured datasetsExtremely fast embedded database for small devices, IoT and MobileObject-relational database and reports server
Primary database modelGraph DBMS
RDF store
Document storeWide column storeObject oriented DBMSRelational DBMS
Secondary database modelsTime 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
Score0.85
Rank#208  Overall
#35  Document stores
Score4.04
Rank#77  Overall
#6  Wide column stores
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Score0.21
Rank#325  Overall
#144  Relational DBMS
Websiteaws.amazon.com/­neptunewww.bigchaindb.comazure.microsoft.com/­en-us/­services/­storage/­tablesobjectbox.iowww.valentina-db.net
Technical documentationaws.amazon.com/­neptune/­developer-resourcesbigchaindb.readthedocs.io/­en/­latestdocs.objectbox.iovalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperAmazonMicrosoftObjectBox LimitedParadigma Software
Initial release20172016201220171999
Current release5.7.5
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3commercialOpen Source infoApache License 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonC and C++
Server operating systemshostedLinuxhostedAndroid
iOS
Linux
macOS
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.nononono
Secondary indexesnonoyesyes
SQL infoSupport of SQLnonononoyes
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
CLI Client
RESTful HTTP API
RESTful HTTP APIProprietary native APIODBC
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Go
Haskell
Java
JavaScript
Python
Ruby
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnononoyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoImplicit feature of the cloud servicenone
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 factoryes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.online/offline synchronization between client and server
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyes,with MongoDB ord RethinkDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yesAccess rights based on private key authentication or shared access signaturesyesfine grained access rights according to SQL-standard
More information provided by the system vendor
Amazon NeptuneBigchainDBMicrosoft Azure Table StorageObjectBoxValentina Server
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More resources
Amazon NeptuneBigchainDBMicrosoft Azure Table StorageObjectBoxValentina Server
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