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

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

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonEJDB  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonOracle Coherence  Xexclude from comparisonSolr  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)Distributed Event Store optimized for Internet of Things use casesOracles in-memory data grid solutionA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelKey-value storeDocument storeEvent Store
Time Series DBMS
Key-value storeSearch engine
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
Score0.31
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
Score41.02
Rank#24  Overall
#3  Search engines
Websitegithub.com/­dgraph-io/­badgergithub.com/­Softmotions/­ejdbwww.ibm.com/­products/­db2-event-storewww.oracle.com/­java/­coherencesolr.apache.org
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgergithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdwww.ibm.com/­docs/­en/­db2-event-storedocs.oracle.com/­en/­middleware/­standalone/­coherencesolr.apache.org/­resources.html
DeveloperDGraph LabsSoftmotionsIBMOracleApache Software Foundation
Initial release20172012201720072006
Current release2.014.1, August 20239.6.1, May 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGPLv2commercial infofree developer edition availablecommercialOpen Source infoApache 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 languageGoCC and C++JavaJava
Server operating systemsBSD
Linux
OS X
Solaris
Windows
server-lessLinux infoLinux, macOS, Windows for the developer additionAll OS with a Java VMAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freeschema-freeyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or datenoyes infostring, integer, double, bool, date, object_idyesyesyes infosupports customizable data types and automatic typing
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.nononoyes
Secondary indexesnonononoyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnonoyes infothrough the embedded Spark runtimenoSolr Parallel SQL Interface
APIs and other access methodsin-process shared libraryADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
JCache
JPA
RESTful HTTP API
Java API
RESTful HTTP/JSON API
Supported programming languagesGoActionscript
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
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnonoyesnoJava plugins
Triggersnononoyes infoLive Eventsyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneActive-active shard replicationyes, with selectable consistency levelyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integritynono infotypically not needed, however similar functionality with collection joins possiblenonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoconfigurableoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write LockingNo - written data is immutableyesyes
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes infooptionallyyes
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 access rights according to SQL-standardauthentification to access the cache via certificates or http basic authenticationyes

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More resources
BadgerEJDBIBM Db2 Event StoreOracle CoherenceSolr
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