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DBMS > GridDB vs. Quasardb vs. Ultipa vs. Vitess

System Properties Comparison GridDB vs. Quasardb vs. Ultipa vs. Vitess

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Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonQuasardb  Xexclude from comparisonUltipa  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataDistributed, high-performance timeseries databaseHigh performance Graph DBMS supporting HTAP high availability cluster deploymentScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelTime Series DBMSTime Series DBMSGraph DBMSRelational 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
Score1.91
Rank#123  Overall
#10  Time Series DBMS
Score0.13
Rank#332  Overall
#28  Time Series DBMS
Score0.11
Rank#338  Overall
#32  Graph DBMS
Score0.86
Rank#202  Overall
#95  Relational DBMS
Websitegriddb.netquasar.aiwww.ultipa.comvitess.io
Technical documentationdocs.griddb.netdoc.quasar.ai/­masterwww.ultipa.com/­documentvitess.io/­docs
DeveloperToshiba CorporationquasardbUltipaThe Linux Foundation, PlanetScale
Initial release2013200920192013
Current release5.1, August 20223.14.1, January 202415.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercialOpen 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++Go
Server operating systemsLinuxBSD
Linux
OS X
Windows
Docker
Linux
macOS
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampyes infointeger and binaryyes
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 indexesyesyes infowith tagsyes
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)SQL-like query languageyes infowith proprietary extensions
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
HTTP APIRESTful HTTP APIADO.NET
JDBC
MySQL protocol
ODBC
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
C++
Go
Java
JavaScript (Node.js)
Python
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 proceduresnonoyes infoproprietary syntax
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 factorMulti-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 jobswith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynonoyes 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 datayesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoTransient modeyes
User concepts infoAccess controlAccess rights for users can be defined per databaseCryptographically strong user authentication and audit trailUsers with fine-grained authorization concept infono user groups or roles

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GridDBQuasardbUltipaVitess
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