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DBMS > Badger vs. EJDB vs. Faircom EDGE vs. IBM Db2 Event Store vs. Oracle Coherence

System Properties Comparison Badger vs. EJDB vs. Faircom EDGE vs. IBM Db2 Event Store vs. Oracle Coherence

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonEJDB  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonOracle Coherence  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Embeddable document-store database library with JSON representation of queries (in MongoDB style)FairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsDistributed Event Store optimized for Internet of Things use casesOracles in-memory data grid solution
Primary database modelKey-value storeDocument storeKey-value store
Relational DBMS
Event Store
Time Series DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score0.31
Rank#296  Overall
#44  Document stores
Score0.09
Rank#362  Overall
#53  Key-value stores
#155  Relational DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score1.97
Rank#129  Overall
#22  Key-value stores
Websitegithub.com/­dgraph-io/­badgergithub.com/­Softmotions/­ejdbwww.faircom.com/­products/­faircom-edgewww.ibm.com/­products/­db2-event-storewww.oracle.com/­java/­coherence
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgergithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlwww.ibm.com/­docs/­en/­db2-event-storedocs.oracle.com/­en/­middleware/­standalone/­coherence
DeveloperDGraph LabsSoftmotionsFairCom CorporationIBMOracle
Initial release20172012197920172007
Current releaseV3, October 20202.014.1, August 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGPLv2commercial infoRestricted, free version availablecommercial infofree developer edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoCANSI C, C++C and C++Java
Server operating systemsBSD
Linux
OS X
Solaris
Windows
server-lessAndroid
Linux infoARM, x86
Raspbian
Windows
Linux infoLinux, macOS, Windows for the developer additionAll OS with a Java VM
Data schemeschema-freeschema-freeFlexible Schema (defined schema, partial schema, schema free)yesschema-free
Typing infopredefined data types such as float or datenoyes infostring, integer, double, bool, date, object_idyes, ANSI Standard SQL Typesyesyes
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.noyesnono
Secondary indexesnonoyesnono
SQL infoSupport of SQLnonoyes infoANSI SQL queriesyes infothrough the embedded Spark runtimeno
APIs and other access methodsin-process shared libraryADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
JCache
JPA
RESTful HTTP API
Supported programming languagesGoActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
C++
Java
Server-side scripts infoStored proceduresnonoyes info.Net, JavaScript, C/C++yesno
Triggersnonoyesnoyes infoLive Events
Partitioning methods infoMethods for storing different data on different nodesnonenoneFile partitioning infoCustomizable business rules for partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneyes infoSynchronous and asynchronous realtime replication based on transaction logsActive-active shard replicationyes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Tunable Consistency
Eventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynono infotypically not needed, however similar functionality with collection joins possibleyes infowhen using SQLnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDnoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyes infoacross SQL and NoSQLNo - written data is immutableyes
Durability infoSupport for making data persistentyesyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes infooptionally
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlnonoFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.fine grained access rights according to SQL-standardauthentification to access the cache via certificates or http basic authentication

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More resources
BadgerEJDBFaircom EDGE infoformerly c-treeEDGEIBM Db2 Event StoreOracle Coherence
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