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DBMS > GridGain vs. MonetDB vs. Teradata vs. Typesense

System Properties Comparison GridGain vs. MonetDB vs. Teradata vs. Typesense

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonMonetDB  Xexclude from comparisonTeradata  Xexclude from comparisonTypesense  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteA relational database management system that stores data in columnsA hybrid cloud data analytics software platform (Teradata Vantage)A typo-tolerant, in-memory search engine optimized for instant search-as-you-type experiences and developer productivity
Primary database modelKey-value store
Relational DBMS
Relational DBMSRelational DBMSSearch engine
Secondary database modelsDocument store
Spatial DBMS
Document store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score44.87
Rank#22  Overall
#15  Relational DBMS
Score0.76
Rank#219  Overall
#14  Search engines
Websitewww.gridgain.comwww.monetdb.orgwww.teradata.comtypesense.org
Technical documentationwww.gridgain.com/­docs/­index.htmlwww.monetdb.org/­Documentationdocs.teradata.comtypesense.org/­docs
DeveloperGridGain Systems, Inc.MonetDB BVTeradata
Initial release2007200419842015
Current releaseGridGain 8.5.1Dec2023 (11.49), December 2023Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourcecommercialOpen Source infoMozilla Public License 2.0commercialOpen Source infoGPL V3
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++, .NetCC++
Server operating systemsLinux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
Solaris
Windows
hosted
Linux
Linux
Data schemeyesyesyesschema-free infopre-defined schema optional
Typing infopredefined data types such as float or dateyesyesyesyes
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
Secondary indexesyesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyes infoSQL 2003 with some extensionsyes infoSQL 2016 + extensionsno
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
RESTful HTTP API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
.Net infocommunity maintained
Clojure infocommunity maintained
Dart infocommunity maintained
Go infocommunity maintained
Java infocommunity maintained
JavaScript
Perl infocommunity maintained
PHP
Python
Ruby
Rust infocommunity maintained
Swift infocommunity maintained
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yes, in SQL, C, Ryes infoUDFs, stored procedures, table functions in parallelno
Triggersyes (cache interceptors and events)yesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding via remote tablesSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)none infoSource-replica replication available in experimental statusMulti-source replication
Source-replica replication
Multi-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlSecurity Hooks for custom implementationsfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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GridGainMonetDBTeradataTypesense
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