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DBMS > GridGain vs. Hazelcast vs. JaguarDB vs. Quasardb

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

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonHazelcast  Xexclude from comparisonJaguarDB  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteA widely adopted in-memory data gridPerformant, highly scalable DBMS for AI and IoT applicationsDistributed, high-performance timeseries database
Primary database modelKey-value store
Relational DBMS
Key-value storeKey-value store
Vector DBMS
Time Series DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
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
Score5.97
Rank#57  Overall
#6  Key-value stores
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websitewww.gridgain.comhazelcast.comwww.jaguardb.comquasar.ai
Technical documentationwww.gridgain.com/­docs/­index.htmlhazelcast.org/­imdg/­docswww.jaguardb.com/­support.htmldoc.quasar.ai/­master
DeveloperGridGain Systems, Inc.HazelcastDataJaguar, Inc.quasardb
Initial release2007200820152009
Current releaseGridGain 8.5.15.3.6, November 20233.3 July 20233.14.1, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoGPL V3.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
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++, .NetJavaC++ infothe server part. Clients available in other languagesC++
Server operating systemsLinux
OS X
Solaris
Windows
All OS with a Java VMLinuxBSD
Linux
OS X
Windows
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes 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.yesyes infothe object must implement a serialization strategynono
Secondary indexesyesyesyesyes infowith tags
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLSQL-like query languageA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersSQL-like query language
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JCache
JPA
Memcached protocol
RESTful HTTP API
JDBC
ODBC
HTTP API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yes infoEvent Listeners, Executor Servicesnono
Triggersyes (cache interceptors and events)yes infoEventsnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yes infoReplicated MapMulti-source replicationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)yesnowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDone or two-phase-commit; repeatable reads; read commitednoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes infoTransient mode
User concepts infoAccess controlSecurity Hooks for custom implementationsRole-based access controlrights management via user accountsCryptographically strong user authentication and audit trail

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More resources
GridGainHazelcastJaguarDBQuasardb
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