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DBMS > GridDB vs. Oracle NoSQL vs. PostGIS vs. Vitess

System Properties Comparison GridDB vs. Oracle NoSQL vs. PostGIS vs. Vitess

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Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonOracle NoSQL  Xexclude from comparisonPostGIS  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataA multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodesSpatial extension of PostgreSQLScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelTime Series DBMSDocument store
Key-value store
Relational DBMS
Spatial DBMSRelational DBMS
Secondary database modelsKey-value store
Relational DBMS
Relational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score3.05
Rank#97  Overall
#17  Document stores
#16  Key-value stores
#50  Relational DBMS
Score21.72
Rank#29  Overall
#1  Spatial DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitegriddb.netwww.oracle.com/­database/­nosql/­technologies/­nosqlpostgis.netvitess.io
Technical documentationdocs.griddb.netdocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.htmlpostgis.net/­documentationvitess.io/­docs
DeveloperToshiba CorporationOracleThe Linux Foundation, PlanetScale
Initial release2013201120052013
Current release5.1, August 202224.1, May 20243.4.2, February 202415.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)Open Source infoGPL v2.0Open Source infoApache Version 2.0, commercial licenses available
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 languageC++JavaCGo
Server operating systemsLinuxLinux
Solaris SPARC/x86
Docker
Linux
macOS
Data schemeyesSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.yesyes
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampoptionalyesyes
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.nonoyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)SQL-like DML and DDL statementsyesyes infowith proprietary extensions
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
RESTful HTTP APIADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C#
Go
Java
JavaScript (Node.js)
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnonouser defined functionsyes infoproprietary syntax
Triggersyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes infobased on PostgreSQLSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationElectable source-replica replication per shard. Support distributed global deployment with Multi-region table featureyes infobased on PostgreSQLMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobswith Hadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersEventual Consistency
Immediate Consistency infodepending on configuration
Immediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynonoyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelconfigurable infoACID within a storage node (=shard)ACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
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.yesyes infooff heap cachenoyes
User concepts infoAccess controlAccess rights for users can be defined per databaseAccess rights for users and rolesyes infobased on PostgreSQLUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
GridDBOracle NoSQLPostGISVitess
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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GridDBOracle NoSQLPostGISVitess
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