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DBMS > GridGain vs. MonetDB vs. Teradata Aster

System Properties Comparison GridGain vs. MonetDB vs. Teradata Aster

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonMonetDB  Xexclude from comparisonTeradata Aster  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 types
Primary database modelKey-value store
Relational DBMS
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#128  Overall
#25  Key-value stores
#62  Relational DBMS
Score1.83
Rank#130  Overall
#63  Relational DBMS
Websitewww.gridgain.comwww.monetdb.org
Technical documentationwww.gridgain.com/­docs/­latestwww.monetdb.org/­Documentation
DeveloperGridGain Systems, Inc.MonetDB BVTeradata
Initial release200720042005
Current releaseGridGain 8.5.1Jul2021-SP2, July 2021
License infoCommercial or Open SourcecommercialOpen Source infoMozilla Public License 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetC
Server operating systemsLinux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
Solaris
Windows
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 Store
Typing infopredefined data types such as float or dateyesyesyes
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 Store
Secondary indexesyesyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyes infoSQL 2003 with some extensionsyes
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
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
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yes, in SQL, C, RR packages
Triggersyes (cache interceptors and events)yesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding via remote tablesSharding
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.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)noyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
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
More information provided by the system vendor
GridGainMonetDBTeradata Aster
Specific characteristicsColumn-store In-memory optimized GeoSpatial support JSON document support
» more
Competitive advantagesScalable architecture - vertical data organization and in-memory optimization guarantee...
» more
Typical application scenariosAnalytical database, Data warehouse, OLAP Data mining Scientific database
» more
Key customersNumascale , Spinque , SecurActive , CHS , NOZHUP
» more
Licensing and pricing modelsFree and open-source software, Mozilla Public License 2.0 Commercial support available
» more

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More resources
GridGainMonetDBTeradata Aster
Recent citations in the news

GridGain Continues Strong Momentum in 2021, Has Record Revenue Year
22 February 2022, GlobeNewswire

GridGain Announces Virtual Apache Ignite Summit 2022, Opens Call for Papers
7 February 2022, GlobeNewswire

In Memory Data Grid Market Size Predicted to Increase at a Positive CAGR Of 11% from 2022 to 2031
1 July 2022, Digital Journal

In-memory Computing Market Overview 2022-2029| Key Players –IBM, TIBCO, Software AG, ScaleOut Software, SAP, Oracle, Microsoft, Hazelcast, Grid Gain Systems, Giga Spaces, Altibase – Indian Defence News
2 July 2022, Indian Defence News

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MonetDB Secures Investment From (and Partners With) ServiceNow
9 December 2021, Datanami

RDBMS Software Market Report 2022 with Countries Data and Market Overview by Size, Share, Trends, Factors and Player and forecast to 2028 – Microsoft, PostgreSQL Global Development Group, VoltDB, ThinkSQL – Indian Defence News
2 July 2022, Indian Defence News

MonetDB Solutions secures investment from ServiceNow — CWI Amsterdam
1 October 2019, Centrum Wiskunde & Informatica (CWI)

HiPEAC 2022 embedded computing event returns to Budapest
14 June 2022, Embedded

Tracing Stars with MonetDB in the Cloud
10 August 2015, Centrum Wiskunde & Informatica (CWI)

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Big Data Analytics: Teradata Launches Aster Discovery Platform
9 October 2013, Data Center Knowledge

How to Select the Right Database for Time-Series Data
2 December 2021, thenewstack.io

Case study: Siemens reduces train failures with Teradata Aster
12 September 2016, RCR Wireless News

What Is a Data Lakehouse?
5 March 2022, Coinspeaker

Teradata Launches Teradata Database 15 with New QueryGrid for Multiple System Analytics
7 April 2014, Database Trends and Applications

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