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DBMS > Amazon Neptune vs. FileMaker vs. IBM Db2 Event Store vs. Percona Server for MongoDB

System Properties Comparison Amazon Neptune vs. FileMaker vs. IBM Db2 Event Store vs. Percona Server for MongoDB

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonFileMaker  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudFileMaker is a cross-platform RDBMS that includes a GUI frontend.Distributed Event Store optimized for Internet of Things use casesA drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelGraph DBMS
RDF store
Relational DBMSEvent Store
Time Series DBMS
Document 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
Score49.73
Rank#20  Overall
#14  Relational DBMS
Score0.23
Rank#316  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.55
Rank#253  Overall
#39  Document stores
Websiteaws.amazon.com/­neptunewww.claris.com/­filemakerwww.ibm.com/­products/­db2-event-storewww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationaws.amazon.com/­neptune/­developer-resourceswww.claris.com/­resources/­documentationwww.ibm.com/­docs/­en/­db2-event-storedocs.percona.com/­percona-distribution-for-mongodb
DeveloperAmazonClaris infoa subsidiary of AppleIBMPercona
Initial release2017198320172015
Current release19.4.1, November 20212.03.4.10-2.10, November 2017
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree developer edition availableOpen Source infoGPL Version 2
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C++
Server operating systemshostediOS infoclient part only
Linux
OS X
Windows
Linux infoLinux, macOS, Windows for the developer additionLinux
Data schemeschema-freeyesyesschema-free
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.noyes infoA http query request can return the data in XML formatnono
Secondary indexesnoyesnoyes
SQL infoSupport of SQLnoyes infovia pluginsyes infothrough the embedded Spark runtimeno
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
Filemaker WebDirect
JDBC
ODBC
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
proprietary protocol using JSON
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
PHPC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Server-side scripts infoStored proceduresnoyesyesJavaScript
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingSharding
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.Source-replica replication, warm standby infosince Version 14Active-active shard replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infovia In-Memory Engine
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)simple rights management via user accounts and connection to external directory servicesfine grained access rights according to SQL-standardAccess rights for users and roles

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More resources
Amazon NeptuneFileMakerIBM Db2 Event StorePercona Server for MongoDB
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