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DBMS > GridGain vs. JaguarDB vs. Quasardb vs. Teradata

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

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonJaguarDB  Xexclude from comparisonQuasardb  Xexclude from comparisonTeradata  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 databaseA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelKey-value store
Relational DBMS
Key-value store
Vector DBMS
Time Series DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series 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
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websitewww.gridgain.comwww.jaguardb.comquasar.aiwww.teradata.com
Technical documentationwww.gridgain.com/­docs/­index.htmlwww.jaguardb.com/­support.htmldoc.quasar.ai/­masterdocs.teradata.com
DeveloperGridGain Systems, Inc.DataJaguar, Inc.quasardbTeradata
Initial release2007201520091984
Current releaseGridGain 8.5.13.3 July 20233.14.1, January 2024Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourcecommercialOpen 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 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++
Server operating systemsLinux
OS X
Solaris
Windows
LinuxBSD
Linux
OS X
Windows
hosted
Linux
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.yesnonoyes
Secondary indexesyesyesyes infowith tagsyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
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 infoSQL 2016 + extensions
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
HTTP API.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
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
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)nonoyes infoUDFs, stored procedures, table functions in parallel
Triggersyes (cache interceptors and events)nonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoconsistent hashingSharding infoHashing
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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 trailfine grained access rights according to SQL-standard

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More resources
GridGainJaguarDBQuasardbTeradata
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