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DBMS > EJDB vs. LeanXcale vs. mSQL vs. OrigoDB

System Properties Comparison EJDB vs. LeanXcale vs. mSQL vs. OrigoDB

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Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonLeanXcale  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonOrigoDB  Xexclude from comparison
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesmSQL (Mini SQL) is a simple and lightweight RDBMSA fully ACID in-memory object graph database
Primary database modelDocument storeKey-value store
Relational DBMS
Relational DBMSDocument store
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.30
Rank#294  Overall
#44  Document stores
Score0.35
Rank#283  Overall
#41  Key-value stores
#128  Relational DBMS
Score1.67
Rank#151  Overall
#70  Relational DBMS
Score0.03
Rank#378  Overall
#51  Document stores
#18  Object oriented DBMS
Websitegithub.com/­Softmotions/­ejdbwww.leanxcale.comhughestech.com.au/­products/­msqlorigodb.com
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdorigodb.com/­docs
DeveloperSoftmotionsLeanXcaleHughes TechnologiesRobert Friberg et al
Initial release2012201519942009 infounder the name LiveDB
Current release4.4, October 2021
License infoCommercial or Open SourceOpen Source infoGPLv2commercialcommercial infofree licenses can be providedOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCCC#
Server operating systemsserver-lessAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyesUser defined using .NET types and collections
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.nono infocan be achieved using .NET
Secondary indexesnoyesyes
SQL infoSupport of SQLnoyes infothrough Apache DerbyA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersno
APIs and other access methodsin-process shared libraryJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
JDBC
ODBC
.NET Client API
HTTP API
LINQ
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C
Java
Scala
C
C++
Delphi
Java
Perl
PHP
Tcl
.Net
Server-side scripts infoStored proceduresnonoyes
Triggersnonoyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesnonenonehorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencynone
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possibleyesnodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesnoyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlnonoRole based authorization

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More resources
EJDBLeanXcalemSQL infoMini SQLOrigoDB
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