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DBMS > GridDB vs. SWC-DB vs. Tibero vs. Vitess

System Properties Comparison GridDB vs. SWC-DB vs. Tibero vs. Vitess

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Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonTibero  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataA high performance, scalable Wide Column DBMSA secure RDBMS, designed for easy portability from OracleScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelTime Series DBMSWide column storeRelational DBMSRelational DBMS
Secondary database modelsKey-value store
Relational DBMS
Time Series DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#123  Overall
#10  Time Series DBMS
Score0.01
Rank#378  Overall
#13  Wide column stores
Score1.46
Rank#151  Overall
#70  Relational DBMS
Score0.86
Rank#202  Overall
#95  Relational DBMS
Websitegriddb.netgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
us.tmaxsoft.com/­products/­tiberovitess.io
Technical documentationdocs.griddb.nettechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.htmlvitess.io/­docs
DeveloperToshiba CorporationAlex KashirinTmaxSoftThe Linux Foundation, PlanetScale
Initial release2013202020032013
Current release5.1, August 20220.5, April 20217, September 202215.0.2, 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 infoGPL V3commercialOpen 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++C++C and AssemblerGo
Server operating systemsLinuxLinuxAIX
HP-UX
Linux
Solaris
Windows
Docker
Linux
macOS
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampyesyes
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 indexesyesyesyes
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)SQL-like query languageyesyes infowith proprietary extensions
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
Proprietary protocol
Thrift
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
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 proceduresnonoPersistent Stored Procedure (PSM)yes infoproprietary syntax
Triggersyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning infoby range, hash, list or compositeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
Multi-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 jobsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersImmediate ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynoyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelACIDACID 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.yesnono infoplanned for next versionyes
User concepts infoAccess controlAccess rights for users can be defined per databasefine grained access rights according to SQL-standard (SQL 92, SQL 99)Users with fine-grained authorization concept infono user groups or roles

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More resources
GridDBSWC-DB infoSuper Wide Column DatabaseTiberoVitess
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