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DBMS > GridGain vs. MonetDB vs. Teradata Aster vs. XTDB

System Properties Comparison GridGain vs. MonetDB vs. Teradata Aster vs. XTDB

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonMonetDB  Xexclude from comparisonTeradata Aster  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteA relational database management system that stores data in columnsPlatform for big data analytics on multistructured data sources and typesA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelKey-value store
Relational DBMS
Relational DBMSRelational DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.53
Rank#155  Overall
#26  Key-value stores
#73  Relational DBMS
Score1.72
Rank#148  Overall
#68  Relational DBMS
Score0.09
Rank#351  Overall
#47  Document stores
Websitewww.gridgain.comwww.monetdb.orggithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationwww.gridgain.com/­docs/­index.htmlwww.monetdb.org/­Documentationwww.xtdb.com/­docs
DeveloperGridGain Systems, Inc.MonetDB BVTeradataJuxt Ltd.
Initial release2007200420052019
Current releaseGridGain 8.5.1Dec2023 (11.49), December 20231.19, September 2021
License infoCommercial or Open SourcecommercialOpen Source infoMozilla Public License 2.0commercialOpen Source infoMIT License
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++, .NetCClojure
Server operating systemsLinux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
Solaris
Windows
LinuxAll OS with a Java 8 (and higher) VM
Linux
Data schemeyesyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeschema-free
Typing infopredefined data types such as float or dateyesyesyesyes, extensible-data-notation format
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 infoin Aster File Storeno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyes infoSQL 2003 with some extensionsyeslimited SQL, making use of Apache Calcite
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
ADO.NET
JDBC
ODBC
OLE DB
HTTP REST
JDBC
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C
C#
C++
Java
Python
R
Clojure
Java
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yes, in SQL, C, RR packagesno
Triggersyes (cache interceptors and events)yesnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding via remote tablesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)none infoSource-replica replication available in experimental statusyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.yes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)noyes infoSQL Map-Reduce Frameworkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
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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More resources
GridGainMonetDBTeradata AsterXTDB infoformerly named Crux
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