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DBMS > EJDB vs. HBase vs. Kingbase vs. Solr

System Properties Comparison EJDB vs. HBase vs. Kingbase vs. Solr

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Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonHBase  Xexclude from comparisonKingbase  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Wide-column store based on Apache Hadoop and on concepts of BigTableAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.A widely used distributed, scalable search engine based on Apache Lucene
Primary database modelDocument storeWide column storeRelational DBMSSearch engine
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#297  Overall
#44  Document stores
Score30.50
Rank#26  Overall
#2  Wide column stores
Score0.45
Rank#262  Overall
#123  Relational DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websitegithub.com/­Softmotions/­ejdbhbase.apache.orgwww.kingbase.com.cnsolr.apache.org
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdhbase.apache.org/­book.htmlsolr.apache.org/­resources.html
DeveloperSoftmotionsApache Software Foundation infoApache top-level project, originally developed by PowersetBeiJing KINGBASE Information technologies inc.Apache Software Foundation
Initial release2012200819992006
Current release2.3.4, January 2021V8.0, August 20219.6.0, April 2024
License infoCommercial or Open SourceOpen Source infoGPLv2Open Source infoApache version 2commercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaC and JavaJava
Server operating systemsserver-lessLinux
Unix
Windows infousing Cygwin
Linux
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freeschema-free, schema definition possibleyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idoptions to bring your own types, AVROyesyes 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.noyesyes
Secondary indexesnonoyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnonoStandard with numerous extensionsSolr Parallel SQL Interface
APIs and other access methodsin-process shared libraryJava API
RESTful HTTP API
Thrift
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
Java API
RESTful HTTP/JSON API
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoyes infoCoprocessors in Javauser defined functionsJava plugins
Triggersnoyesyesyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning (by range, list and hash) and vertical partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
yesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possiblenoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoSingle row ACID (across millions of columns)ACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlnoAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACfine grained access rights according to SQL-standardyes

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More resources
EJDBHBaseKingbaseSolr
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