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DBMS > Amazon Neptune vs. BigObject vs. Microsoft Access vs. Realm

System Properties Comparison Amazon Neptune vs. BigObject vs. Microsoft Access vs. Realm

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonBigObject  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudAnalytic DBMS for real-time computations and queriesMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)A 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
Relational DBMS infoa hierachical model (tree) can be imposedRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#112  Overall
#9  Graph DBMS
#5  RDF stores
Score0.13
Rank#342  Overall
#150  Relational DBMS
Score105.40
Rank#11  Overall
#8  Relational DBMS
Score7.71
Rank#52  Overall
#9  Document stores
Websiteaws.amazon.com/­neptunebigobject.iowww.microsoft.com/­en-us/­microsoft-365/­accessrealm.io
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.bigobject.iodeveloper.microsoft.com/­en-us/­accessrealm.io/­docs
DeveloperAmazonBigObject, Inc.MicrosoftRealm, acquired by MongoDB in May 2019
Initial release2017201519922014
Current release1902 (16.0.11328.20222), March 2019
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availablecommercial infoBundled with Microsoft OfficeOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++
Server operating systemshostedLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Windows infoNot a real database server, but making use of DLLsAndroid
Backend: server-less
iOS
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyes infobut not compliant to any SQL standardno
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
fluentd
ODBC
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresnoLuayes infosince Access 2010 using the ACE-engineno inforuns within the applications so server-side scripts are unnecessary
Triggersnonoyes infosince Access 2010 using the ACE-engineyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesnonenonenonenone
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.nonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyes infoautomatically between fact table and dimension tablesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infobut no files for transaction loggingACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoIn-Memory realm
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)nono infoa simple user-level security was built in till version Access 2003yes

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More resources
Amazon NeptuneBigObjectMicrosoft AccessRealm
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