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DBMS > GridGain vs. HarperDB vs. JaguarDB vs. Quasardb vs. TDSQL for MySQL

System Properties Comparison GridGain vs. HarperDB vs. JaguarDB vs. Quasardb vs. TDSQL for MySQL

Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonHarperDB  Xexclude from comparisonJaguarDB  Xexclude from comparisonQuasardb  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Performant, highly scalable DBMS for AI and IoT applicationsDistributed, high-performance timeseries databaseA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.
Primary database modelKey-value store
Relational DBMS
Document storeKey-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
Score0.55
Rank#248  Overall
#38  Document stores
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score0.85
Rank#205  Overall
#95  Relational DBMS
Websitewww.gridgain.comwww.harperdb.iowww.jaguardb.comquasar.aiwww.tencentcloud.com/­products/­dcdb
Technical documentationwww.gridgain.com/­docs/­index.htmldocs.harperdb.io/­docswww.jaguardb.com/­support.htmldoc.quasar.ai/­masterwww.tencentcloud.com/­document/­product/­1042
DeveloperGridGain Systems, Inc.HarperDBDataJaguar, Inc.quasardbTencent
Initial release20072017201520092013
Current releaseGridGain 8.5.13.1, August 20213.3 July 20233.14.1, January 2024
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availableOpen Source infoGPL V3.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetNode.jsC++ infothe server part. Clients available in other languagesC++
Server operating systemsLinux
OS X
Solaris
Windows
Linux
OS X
LinuxBSD
Linux
OS X
Windows
hosted
Data schemeyesdynamic schemayesschema-freeyes
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyesyes 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.yesnononono
Secondary indexesyesyesyesyes infowith tagsyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLSQL-like data manipulation statementsA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersSQL-like query languageyes
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
JDBC
ODBC
HTTP APIJDBC
ODBC
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)Custom Functions infosince release 3.1nonoyes
Triggersyes (cache interceptors and events)nononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingA table resides as a whole on one (or more) nodes in a clusterShardingSharding infoconsistent hashingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yes infothe nodes on which a table resides can be definedMulti-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)nonowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes infoTransient modeno
User concepts infoAccess controlSecurity Hooks for custom implementationsAccess rights for users and rolesrights management via user accountsCryptographically strong user authentication and audit trailUsers with fine-grained authorization concept

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GridGainHarperDBJaguarDBQuasardbTDSQL for MySQL
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