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

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

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonBangdb  Xexclude from comparisonEJDB  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.Converged and high performance database for device data, events, time series, document and graphEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Distributed Event Store optimized for Internet of Things use casesOracles in-memory data grid solution
Primary database modelKey-value storeDocument store
Graph DBMS
Time Series DBMS
Document storeEvent Store
Time Series DBMS
Key-value store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score0.31
Rank#296  Overall
#44  Document stores
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/­badgerbangdb.comgithub.com/­Softmotions/­ejdbwww.ibm.com/­products/­db2-event-storewww.oracle.com/­java/­coherence
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.bangdb.comgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdwww.ibm.com/­docs/­en/­db2-event-storedocs.oracle.com/­en/­middleware/­standalone/­coherence
DeveloperDGraph LabsSachin Sinha, BangDBSoftmotionsIBMOracle
Initial release20172012201220172007
Current releaseBangDB 2.0, October 20212.014.1, August 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoBSD 3Open Source infoGPLv2commercial infofree developer edition availablecommercial
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 languageGoC, C++CC and C++Java
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linuxserver-lessLinux infoLinux, macOS, Windows for the developer additionAll OS with a Java VM
Data schemeschema-freeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyes: string, long, double, int, geospatial, stream, eventsyes infostring, integer, double, bool, date, object_idyesyes
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.nononono
Secondary indexesnoyes infosecondary, composite, nested, reverse, geospatialnonono
SQL infoSupport of SQLnoSQL like support with command line toolnoyes infothrough the embedded Spark runtimeno
APIs and other access methodsProprietary protocol
RESTful HTTP API
in-process shared libraryADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
JCache
JPA
RESTful HTTP API
Supported programming languagesGoC
C#
C++
Java
Python
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
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 proceduresnononoyesno
Triggersnoyes, Notifications (with Streaming only)nonoyes infoLive Events
Partitioning methods infoMethods for storing different data on different nodesnoneSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor, Knob for CAP (enterprise version only)noneActive-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 systemnoneTunable consistency, set CAP knob accordinglyEventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonono infotypically not needed, however similar functionality with collection joins possiblenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyes infoRead/Write LockingNo - written data is immutableyes
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyesYes - 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.noyes, run db with in-memory only modeyesyes
User concepts infoAccess controlnoyes (enterprise version only)nofine grained access rights according to SQL-standardauthentification to access the cache via certificates or http basic authentication

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More resources
BadgerBangdbEJDBIBM Db2 Event StoreOracle Coherence
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