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DBMS > GridDB vs. Quasardb vs. Valentina Server vs. YDB

System Properties Comparison GridDB vs. Quasardb vs. Valentina Server vs. YDB

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Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonQuasardb  Xexclude from comparisonValentina Server  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataDistributed, high-performance timeseries databaseObject-relational database and reports serverA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelTime Series DBMSTime Series DBMSRelational DBMSDocument store
Relational DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score0.21
Rank#325  Overall
#144  Relational DBMS
Score0.33
Rank#287  Overall
#43  Document stores
#132  Relational DBMS
Websitegriddb.netquasar.aiwww.valentina-db.netgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationdocs.griddb.netdoc.quasar.ai/­mastervalentina-db.com/­docs/­dokuwiki/­v5/­doku.phpydb.tech/­en/­docs
DeveloperToshiba CorporationquasardbParadigma SoftwareYandex
Initial release2013200919992019
Current release5.1, August 20223.14.1, January 20245.7.5
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercialOpen Source infoApache 2.0; commercial license 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++
Server operating systemsLinuxBSD
Linux
OS X
Windows
Linux
OS X
Windows
Linux
Data schemeyesschema-freeyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampyes infointeger and binaryyesyes
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.nonono
Secondary indexesyesyes infowith tagsyesyes
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)SQL-like query languageyesSQL-like query language (YQL)
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
HTTP APIODBCRESTful HTTP API (DynamoDB compatible)
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresnonoyesno
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoconsistent hashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication with selectable replication factorActive-passive shard 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 containersImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoTransient modeyesno
User concepts infoAccess controlAccess rights for users can be defined per databaseCryptographically strong user authentication and audit trailfine grained access rights according to SQL-standardAccess rights defined for Yandex Cloud users
More information provided by the system vendor
GridDBQuasardbValentina ServerYDB
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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GridDBQuasardbValentina ServerYDB
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