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DBMS > GBase vs. Google Cloud Firestore vs. GridGain vs. MonetDB vs. Teradata Aster

System Properties Comparison GBase vs. Google Cloud Firestore vs. GridGain vs. MonetDB vs. Teradata Aster

Editorial information provided by DB-Engines
NameGBase  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonGridGain  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.
DescriptionWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Cloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.GridGain 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 modelRelational DBMSDocument storeKey-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
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score7.85
Rank#51  Overall
#8  Document stores
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Websitewww.gbase.cnfirebase.google.com/­products/­firestorewww.gridgain.comwww.monetdb.org
Technical documentationfirebase.google.com/­docs/­firestorewww.gridgain.com/­docs/­index.htmlwww.monetdb.org/­Documentation
DeveloperGeneral Data Technology Co., Ltd.GoogleGridGain Systems, Inc.MonetDB BVTeradata
Initial release20042017200720042005
Current releaseGBase 8a, GBase 8s, GBase 8cGridGain 8.5.1Dec2023 (11.49), December 2023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoMozilla Public License 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, Java, PythonJava, C++, .NetC
Server operating systemsLinuxhostedLinux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Linux
Data schemeyesschema-freeyesyesFlexible 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 dateyesyesyesyesyes
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.yesnoyesyes infoin Aster File Store
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLStandard with numerous extensionsnoANSI-99 for query and DML statements, subset of DDLyes infoSQL 2003 with some extensionsyes
APIs and other access methodsADO.NET
C API
JDBC
ODBC
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
HDFS 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#Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C#
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 proceduresuser defined functionsyes, Firebase Rules & Cloud Functionsyes (compute grid and cache interceptors can be used instead)yes, in SQL, C, RR packages
Triggersyesyes, with Cloud Functionsyes (cache interceptors and events)yesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash) and vertical partitioningShardingShardingSharding via remote tablesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationyes (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 methodsUsing Cloud Dataflowyes (compute grid and hadoop accelerator)noyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlyesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Security Hooks for custom implementationsfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
GBaseGoogle Cloud FirestoreGridGainMonetDBTeradata Aster
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