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DBMS > Amazon Neptune vs. Galaxybase vs. Microsoft Azure Table Storage vs. Oracle Berkeley DB vs. OrigoDB

System Properties Comparison Amazon Neptune vs. Galaxybase vs. Microsoft Azure Table Storage vs. Oracle Berkeley DB vs. OrigoDB

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonGalaxybase  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonOrigoDB  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudScalable, ACID-compliant native distributed parallel graph platformA Wide Column Store for rapid development using massive semi-structured datasetsWidely used in-process key-value storeA fully ACID in-memory object graph database
Primary database modelGraph DBMS
RDF store
Graph DBMSWide column storeKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Document store
Object oriented 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
Score0.00
Rank#383  Overall
#39  Graph DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Websiteaws.amazon.com/­neptunegalaxybase.comazure.microsoft.com/­en-us/­services/­storage/­tableswww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlorigodb.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlorigodb.com/­docs
DeveloperAmazonChuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司MicrosoftOracle infooriginally developed by Sleepycat, which was acquired by OracleRobert Friberg et al
Initial release20172017201219942009 infounder the name LiveDB
Current releaseNov 20, November 202118.1.40, May 2020
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infocommercial license availableOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and JavaC, Java, C++ (depending on the Berkeley DB edition)C#
Server operating systemshostedLinuxhostedAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
Windows
Data schemeschema-freeStrong typed schemaschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoUser defined using .NET types and collections
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.nononoyes infoonly with the Berkeley DB XML editionno infocan be achieved using .NET
Secondary indexesnoyesnoyesyes
SQL infoSupport of SQLnononoyes infoSQL interfaced based on SQLite is availableno
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
Browser interface
console (shell)
Graph API (Gremlin)
OpenCypher
Proprietary native API
RESTful HTTP API.NET Client API
HTTP API
LINQ
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Go
Java
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
.Net
Server-side scripts infoStored proceduresnouser defined procedures and functionsnonoyes
Triggersnonoyes infoonly for the SQL APIyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoImplicit feature of the cloud servicenonehorizontal partitioning infoclient side managed; servers are not synchronized
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 infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replicationSource-replica replication
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 graphsyes infoRelationships in graphsnonodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDoptimistic lockingACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Role-based access controlAccess rights based on private key authentication or shared access signaturesnoRole based authorization

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More resources
Amazon NeptuneGalaxybaseMicrosoft Azure Table StorageOracle Berkeley DBOrigoDB
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