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DBMS > GridDB vs. PostGIS vs. PostgreSQL vs. Raima Database Manager vs. Realm

System Properties Comparison GridDB vs. PostGIS vs. PostgreSQL vs. Raima Database Manager vs. Realm

Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonPostGIS  Xexclude from comparisonPostgreSQL  Xexclude from comparisonRaima Database Manager infoformerly named db_Vista  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataSpatial extension of PostgreSQLWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLRDBMS with a small footprint, either embedded into an application or used as a database serverA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelTime Series DBMSSpatial DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Relational DBMS
Time Series DBMS
Document store
Secondary database modelsKey-value store
Relational DBMS
Relational DBMSDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score21.72
Rank#29  Overall
#1  Spatial DBMS
Score636.25
Rank#4  Overall
#4  Relational DBMS
Score0.49
Rank#259  Overall
#121  Relational DBMS
#21  Time Series DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Websitegriddb.netpostgis.netwww.postgresql.orgraima.comrealm.io
Technical documentationdocs.griddb.netpostgis.net/­documentationwww.postgresql.org/­docsdocs.raima.comrealm.io/­docs
DeveloperToshiba CorporationPostgreSQL Global Development Group infowww.postgresql.org/­developerRaima Inc.Realm, acquired by MongoDB in May 2019
Initial release201320051989 info1989: Postgres, 1996: PostgreSQL19842014
Current release5.1, August 20223.4.2, February 202416.3, May 202415, June 2021
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoGPL v2.0Open Source infoBSDcommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CCC
Server operating systemsLinuxFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Android
HP-UX
Integrity RTOS
iOS
Linux
OS X
QNX
Solaris
VxWorks
Windows
Android
Backend: server-less
iOS
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampyesyesyesyes
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.noyesyes infospecific XML-type available, but no XML query functionality.no infoExporting/Importing of XML structures possibleno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)yesyes infostandard with numerous extensionsyesno
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C++
Objective-C
PL/SQL
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresnouser defined functionsuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes infobased on the ANSI/ISO SQL Persistent Stored Modules (PSM) specificationno inforuns within the applications so server-side scripts are unnecessary
Triggersyesyesyesyesyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesShardingyes infobased on PostgreSQLpartitioning by range, list and (since PostgreSQL 11) by hashhorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infobased on PostgreSQLSource-replica replication infoother methods possible by using 3rd party extensionsSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
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.yesnonoyesyes infoIn-Memory realm
User concepts infoAccess controlAccess rights for users can be defined per databaseyes infobased on PostgreSQLfine grained access rights according to SQL-standardnoyes
More information provided by the system vendor
GridDBPostGISPostgreSQLRaima Database Manager infoformerly named db_VistaRealm
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Raima Database Manager (RDM) is an embedded time-series database optimized to run...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Decreased time-to-market Industry-standard interfaces & tools for making your job...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Typical use cases include: Internet of Things (IoT) Embedded In-Memory Database Time-Series...
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Infor, ABB, The Boeing Company, BAE Systems, Dow Jones, Dun & Bradstreet, Fujitsu,...
» more
Market metricsGitHub trending repository
» more
Over 30 000 applications developers worldwide have field-tested RDM products More...
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more
Just as the technical aspects of Raima Database Manager are flexible, so are the...
» more
News

Raima Unveils RaimaDB 16.0: Elevating Database Performance and User Experience
29 February 2024

Raima Announces Release of Raima Database Manager (RDM) v15, a Powerful Embedded Time Series Database
10 June 2021

Raima Announces Release of Raima Database Manager (RDM) v14.2, a Powerful IoT Edge Embedded Database
8 October 2020

Raima Joins BlackBerry QNX Channel Partner Program to Deliver Safety-Critical and Secure Software Solutions
1 October 2020

Raima Expands Their Reseller Network in Asia
19 May 2020

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
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