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DBMS > EJDB vs. Lovefield vs. MonetDB vs. OrigoDB vs. Quasardb

System Properties Comparison EJDB vs. Lovefield vs. MonetDB vs. OrigoDB vs. Quasardb

Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonLovefield  Xexclude from comparisonMonetDB  Xexclude from comparisonOrigoDB  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Embeddable relational database for web apps written in pure JavaScriptA relational database management system that stores data in columnsA fully ACID in-memory object graph databaseDistributed, high-performance timeseries database
Primary database modelDocument storeRelational DBMSRelational DBMSDocument store
Object oriented DBMS
Time Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#296  Overall
#44  Document stores
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Websitegithub.com/­Softmotions/­ejdbgoogle.github.io/­lovefieldwww.monetdb.orgorigodb.comquasar.ai
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdwww.monetdb.org/­Documentationorigodb.com/­docsdoc.quasar.ai/­master
DeveloperSoftmotionsGoogleMonetDB BVRobert Friberg et alquasardb
Initial release2012201420042009 infounder the name LiveDB2009
Current release2.1.12, February 2017Dec2023 (11.49), December 20233.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoGPLv2Open Source infoApache 2.0Open Source infoMozilla Public License 2.0Open Sourcecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaScriptCC#C++
Server operating systemsserver-lessserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariFreeBSD
Linux
OS X
Solaris
Windows
Linux
Windows
BSD
Linux
OS X
Windows
Data schemeschema-freeyesyesyesschema-free
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyesyesUser defined using .NET types and collectionsyes infointeger and binary
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 .NETno
Secondary indexesnoyesyesyesyes infowith tags
SQL infoSupport of SQLnoSQL-like query language infovia JavaScript builder patternyes infoSQL 2003 with some extensionsnoSQL-like query language
APIs and other access methodsin-process shared libraryJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
.NET Client API
HTTP API
LINQ
HTTP API
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
JavaScriptC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnonoyes, in SQL, C, Ryesno
TriggersnoUsing read-only observersyesyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding via remote tableshorizontal partitioning infoclient side managed; servers are not synchronizedSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesnonenonenone infoSource-replica replication available in experimental statusSource-replica replicationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possibleyesyesdepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyesyesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes infoWrite ahead logyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infousing MemoryDByesyes infoTransient mode
User concepts infoAccess controlnonofine grained access rights according to SQL-standardRole based authorizationCryptographically strong user authentication and audit trail

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More resources
EJDBLovefieldMonetDBOrigoDBQuasardb
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