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DBMS > GridGain vs. JaguarDB vs. Quasardb vs. Vitess

System Properties Comparison GridGain vs. JaguarDB vs. Quasardb vs. Vitess

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonJaguarDB  Xexclude from comparisonQuasardb  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgnitePerformant, highly scalable DBMS for AI and IoT applicationsDistributed, high-performance timeseries databaseScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelKey-value store
Relational DBMS
Key-value store
Vector DBMS
Time Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score0.82
Rank#209  Overall
#97  Relational DBMS
Websitewww.gridgain.comwww.jaguardb.comquasar.aivitess.io
Technical documentationwww.gridgain.com/­docs/­index.htmlwww.jaguardb.com/­support.htmldoc.quasar.ai/­mastervitess.io/­docs
DeveloperGridGain Systems, Inc.DataJaguar, Inc.quasardbThe Linux Foundation, PlanetScale
Initial release2007201520092013
Current releaseGridGain 8.5.13.3 July 20233.14.1, January 202415.0.2, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoGPL V3.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetC++ infothe server part. Clients available in other languagesC++Go
Server operating systemsLinux
OS X
Solaris
Windows
LinuxBSD
Linux
OS X
Windows
Docker
Linux
macOS
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryyes
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.yesnono
Secondary indexesyesyesyes infowith tagsyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersSQL-like query languageyes infowith proprietary extensions
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
HTTP APIADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC#
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
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)nonoyes infoproprietary syntax
Triggersyes (cache interceptors and events)nonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoconsistent hashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Multi-source replicationSource-replica replication with selectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynononoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoTransient modeyes
User concepts infoAccess controlSecurity Hooks for custom implementationsrights management via user accountsCryptographically strong user authentication and audit trailUsers with fine-grained authorization concept infono user groups or roles

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More resources
GridGainJaguarDBQuasardbVitess
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