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DBMS > EJDB vs. FeatureBase vs. FileMaker vs. IBM Db2 Event Store vs. Percona Server for MongoDB

System Properties Comparison EJDB vs. FeatureBase vs. FileMaker vs. IBM Db2 Event Store vs. Percona Server for MongoDB

Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonFeatureBase  Xexclude from comparisonFileMaker  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparison
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Real-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.FileMaker 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 modelDocument storeRelational DBMSRelational DBMSEvent Store
Time Series DBMS
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#296  Overall
#44  Document stores
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.60
Rank#246  Overall
#39  Document stores
Websitegithub.com/­Softmotions/­ejdbwww.featurebase.comwww.claris.com/­filemakerwww.ibm.com/­products/­db2-event-storewww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.featurebase.comwww.claris.com/­resources/­documentationwww.ibm.com/­docs/­en/­db2-event-storedocs.percona.com/­percona-distribution-for-mongodb
DeveloperSoftmotionsMolecula and Pilosa Open Source ContributorsClaris infoa subsidiary of AppleIBMPercona
Initial release20122017198320172015
Current release2022, May 202219.4.1, November 20212.03.4.10-2.10, November 2017
License infoCommercial or Open SourceOpen Source infoGPLv2commercialcommercialcommercial infofree developer edition availableOpen Source infoGPL Version 2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCGoC and C++C++
Server operating systemsserver-lessLinux
macOS
iOS infoclient part only
Linux
OS X
Windows
Linux infoLinux, macOS, Windows for the developer additionLinux
Data schemeschema-freeyesyesyesschema-free
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyesyesyesyes
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 indexesnonoyesnoyes
SQL infoSupport of SQLnoSQL queriesyes infovia pluginsyes infothrough the embedded Spark runtimeno
APIs and other access methodsin-process shared librarygRPC
JDBC
Kafka Connector
ODBC
Filemaker WebDirect
JDBC
ODBC
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
proprietary protocol using JSON
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
Java
Python
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
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesSource-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 systemEventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possibleyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesnonono
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write LockingyesyesNo - written data is immutableyes
Durability infoSupport for making data persistentyesyes, using Linux fsyncyesYes - 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.yesyesyes infovia In-Memory Engine
User concepts infoAccess controlnosimple 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
EJDBFeatureBaseFileMakerIBM Db2 Event StorePercona Server for MongoDB
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