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DBMS > GridGain vs. Manticore Search vs. MonetDB vs. ObjectBox vs. Teradata

System Properties Comparison GridGain vs. Manticore Search vs. MonetDB vs. ObjectBox vs. Teradata

Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonManticore Search  Xexclude from comparisonMonetDB  Xexclude from comparisonObjectBox  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteMulti-storage database for search, including full-text search.A relational database management system that stores data in columnsExtremely fast embedded database for small devices, IoT and MobileA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelKey-value store
Relational DBMS
Search engineRelational DBMSObject oriented DBMSRelational DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibraryDocument store
Spatial DBMS
Time Series DBMSDocument 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
Score0.22
Rank#312  Overall
#21  Search engines
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websitewww.gridgain.commanticoresearch.comwww.monetdb.orgobjectbox.iowww.teradata.com
Technical documentationwww.gridgain.com/­docs/­index.htmlmanual.manticoresearch.comwww.monetdb.org/­Documentationdocs.objectbox.iodocs.teradata.com
DeveloperGridGain Systems, Inc.Manticore SoftwareMonetDB BVObjectBox LimitedTeradata
Initial release20072017200420171984
Current releaseGridGain 8.5.16.0, February 2023Dec2023 (11.49), December 2023Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2Open Source infoMozilla Public License 2.0Open Source infoApache License 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetC++CC and C++
Server operating systemsLinux
OS X
Solaris
Windows
FreeBSD
Linux
macOS
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Android
iOS
Linux
macOS
Windows
hosted
Linux
Data schemeyesFixed schemayesyesyes
Typing infopredefined data types such as float or dateyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesyesyes
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.yesCan index from XMLnoyes
Secondary indexesyesyes infofull-text index on all search fieldsyesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLSQL-like query languageyes infoSQL 2003 with some extensionsnoyes infoSQL 2016 + extensions
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Proprietary native API.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
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)user defined functionsyes, in SQL, C, Rnoyes infoUDFs, stored procedures, table functions in parallel
Triggersyes (cache interceptors and events)noyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding via remote tablesnoneSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Synchronous replication based on Galera librarynone infoSource-replica replication available in experimental statusonline/offline synchronization between client and serverMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infoisolated transactions for atomic changes and binary logging for safe writesACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlSecurity Hooks for custom implementationsnofine grained access rights according to SQL-standardyesfine grained access rights according to SQL-standard
More information provided by the system vendor
GridGainManticore SearchMonetDBObjectBoxTeradata
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14 November 2023

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