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DBMS > EJDB vs. GridGain vs. JaguarDB vs. Quasardb vs. Sequoiadb

System Properties Comparison EJDB vs. GridGain vs. JaguarDB vs. Quasardb vs. Sequoiadb

Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonGridGain  Xexclude from comparisonJaguarDB  Xexclude from comparisonQuasardb  Xexclude from comparisonSequoiadb  Xexclude from comparison
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)GridGain is an in-memory computing platform, built on Apache IgnitePerformant, highly scalable DBMS for AI and IoT applicationsDistributed, high-performance timeseries databaseNewSQL database with distributed OLTP and SQL
Primary database modelDocument storeKey-value store
Relational DBMS
Key-value store
Vector DBMS
Time Series DBMSDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#296  Overall
#44  Document stores
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score0.06
Rank#381  Overall
#59  Key-value stores
#13  Vector DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score0.50
Rank#258  Overall
#41  Document stores
#120  Relational DBMS
Websitegithub.com/­Softmotions/­ejdbwww.gridgain.comwww.jaguardb.comquasar.aiwww.sequoiadb.com
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdwww.gridgain.com/­docs/­index.htmlwww.jaguardb.com/­support.htmldoc.quasar.ai/­masterwww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperSoftmotionsGridGain Systems, Inc.DataJaguar, Inc.quasardbSequoiadb Ltd.
Initial release20122007201520092013
Current releaseGridGain 8.5.13.3 July 20233.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoGPLv2commercialOpen Source infoGPL V3.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJava, C++, .NetC++ infothe server part. Clients available in other languagesC++C++
Server operating systemsserver-lessLinux
OS X
Solaris
Windows
LinuxBSD
Linux
OS X
Windows
Linux
Data schemeschema-freeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyesyesyes infointeger and binaryyes infooid, date, timestamp, binary, regex
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.yesnonono
Secondary indexesnoyesyesyes infowith tagsyes
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersSQL-like query languageSQL-like query language
APIs and other access methodsin-process shared libraryHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
HTTP APIproprietary protocol using JSON
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)nonoJavaScript
Triggersnoyes (cache interceptors and events)nonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding infoconsistent hashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes (replicated cache)Multi-source replicationSource-replica replication with selectable replication factorSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possiblenononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoTransient modeno
User concepts infoAccess controlnoSecurity Hooks for custom implementationsrights management via user accountsCryptographically strong user authentication and audit trailsimple password-based access control

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More resources
EJDBGridGainJaguarDBQuasardbSequoiadb
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