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DBMS > GridDB vs. PlanetScale vs. Realm vs. SQream DB

System Properties Comparison GridDB vs. PlanetScale vs. Realm vs. SQream DB

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Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonPlanetScale  Xexclude from comparisonRealm  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataScalable, distributed, serverless MySQL database platform built on top of VitessA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Dataa GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelTime Series DBMSRelational DBMSDocument storeRelational DBMS
Secondary database modelsKey-value store
Relational DBMS
Document 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
Score1.49
Rank#155  Overall
#72  Relational DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Score0.74
Rank#224  Overall
#103  Relational DBMS
Websitegriddb.netplanetscale.comrealm.iosqream.com
Technical documentationdocs.griddb.netplanetscale.com/­docsrealm.io/­docsdocs.sqream.com
DeveloperToshiba CorporationPlanetScaleRealm, acquired by MongoDB in May 2019SQream Technologies
Initial release2013202020142017
Current release5.1, August 20222022.1.6, December 2022
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercialOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++GoC++, CUDA, Haskell, Java, Scala
Server operating systemsLinuxDocker
Linux
macOS
Android
Backend: server-less
iOS
Windows
Linux
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampyesyesyes, ANSI Standard SQL Types
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.nono
Secondary indexesyesyesyesno
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)yes infowith proprietary extensionsnoyes
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
ADO.NET
JDBC
MySQL protocol
ODBC
.Net
JDBC
ODBC
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
Java infowith Android only
Objective-C
React Native
Swift
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyes infoproprietary syntaxno inforuns within the applications so server-side scripts are unnecessaryuser defined functions in Python
Triggersyesyesyes infoChange Listenersno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonehorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersEventual Consistency across shards
Immediate Consistency within a shard
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infonot for MyISAM storage enginenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelACID at shard levelACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engineyes
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.yesyesyes infoIn-Memory realm
User concepts infoAccess controlAccess rights for users can be defined per databaseUsers with fine-grained authorization concept infono user groups or rolesyes
More information provided by the system vendor
GridDBPlanetScaleRealmSQream DB
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
GridDBPlanetScaleRealmSQream DB
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