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DBMS > GridDB vs. Kdb vs. ObjectBox vs. TDSQL for MySQL

System Properties Comparison GridDB vs. Kdb vs. ObjectBox vs. TDSQL for MySQL

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Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonKdb  Xexclude from comparisonObjectBox  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataHigh performance Time Series DBMSExtremely fast embedded database for small devices, IoT and MobileA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.
Primary database modelTime Series DBMSTime Series DBMS
Vector DBMS
Object oriented DBMSRelational DBMS
Secondary database modelsKey-value store
Relational DBMS
Relational DBMSTime Series DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Score0.85
Rank#205  Overall
#95  Relational DBMS
Websitegriddb.netkx.comobjectbox.iowww.tencentcloud.com/­products/­dcdb
Technical documentationdocs.griddb.netcode.kx.comdocs.objectbox.iowww.tencentcloud.com/­document/­product/­1042
DeveloperToshiba CorporationKx Systems, a division of First Derivatives plcObjectBox LimitedTencent
Initial release20132000 infokdb was released 2000, kdb+ in 200320172013
Current release5.1, August 20223.6, May 2018
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercial infofree 32-bit versionOpen Source infoApache License 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++qC and C++
Server operating systemsLinuxLinux
OS X
Solaris
Windows
Android
iOS
Linux
macOS
Windows
hosted
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampyesyesyes
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.noyesnono
Secondary indexesyesyes infotable attribute 'grouped'yesyes
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)SQL-like query language (q)noyes
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Proprietary native APIJDBC
ODBC
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functionsnoyes
Triggersyesyes infowith viewsnoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningnoneAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationonline/offline synchronization between client and serverMulti-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 jobsno infosimilar paradigm used for internal processingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesyesnono
User concepts infoAccess controlAccess rights for users can be defined per databaserights management via user accountsyesUsers with fine-grained authorization concept
More information provided by the system vendor
GridDBKdbObjectBoxTDSQL for MySQL
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Integrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
provides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
tick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Goldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricsGitHub trending repository
» more
kdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more
upon request
» 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
GridDBKdbObjectBoxTDSQL for MySQL
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