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DBMS > Amazon Neptune vs. Badger vs. EDB Postgres vs. FileMaker vs. Microsoft Access

System Properties Comparison Amazon Neptune vs. Badger vs. EDB Postgres vs. FileMaker vs. Microsoft Access

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonBadger  Xexclude from comparisonEDB Postgres  Xexclude from comparisonFileMaker  Xexclude from comparisonMicrosoft Access  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.The EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.FileMaker is a cross-platform RDBMS that includes a GUI frontend.Microsoft 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.)
Primary database modelGraph DBMS
RDF store
Key-value storeRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial 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
Score0.22
Rank#320  Overall
#47  Key-value stores
Score1.91
Rank#130  Overall
#60  Relational DBMS
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Websiteaws.amazon.com/­neptunegithub.com/­dgraph-io/­badgerwww.enterprisedb.comwww.claris.com/­filemakerwww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationaws.amazon.com/­neptune/­developer-resourcesgodoc.org/­github.com/­dgraph-io/­badgerwww.enterprisedb.com/­docswww.claris.com/­resources/­documentationdeveloper.microsoft.com/­en-us/­access
DeveloperAmazonDGraph LabsEnterpriseDBClaris infoa subsidiary of AppleMicrosoft
Initial release20172017200519831992
Current release14, December 202119.4.1, November 20211902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial infoBSD for PostgreSQL-componentscommercialcommercial infoBundled with Microsoft Office
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoCC++
Server operating systemshostedBSD
Linux
OS X
Solaris
Windows
Linux
Windows
iOS infoclient part only
Linux
OS X
Windows
Windows infoNot a real database server, but making use of DLLs
Data schemeschema-freeschema-freeyesyesyes
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.nonoyes infospecific XML-type available, but no XML query functionality.yes infoA http query request can return the data in XML format
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLnonoyes infostandard with numerous extensionsyes infovia pluginsyes infobut not compliant to any SQL standard
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Filemaker WebDirect
JDBC
ODBC
ADO.NET
DAO
ODBC
OLE DB
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Go.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
PHPC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresnonouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yesyes infosince Access 2010 using the ACE-engine
Triggersnonoyesyesyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesnonenonehorizontal partitioning infoby hash, list or rangenonenone
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.noneMulti-source replicationSource-replica replication, warm standby infosince Version 14none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnoACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyesyes infobut no files for transaction logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)nofine grained access rights according to SQL-standardsimple rights management via user accounts and connection to external directory servicesno infoa simple user-level security was built in till version Access 2003

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More resources
Amazon NeptuneBadgerEDB PostgresFileMakerMicrosoft Access
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