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DBMS > JSqlDb vs. MonetDB vs. QuestDB vs. Vitess vs. Yanza

System Properties Comparison JSqlDb vs. MonetDB vs. QuestDB vs. Vitess vs. Yanza

Editorial information provided by DB-Engines
NameJSqlDb  Xexclude from comparisonMonetDB  Xexclude from comparisonQuestDB  Xexclude from comparisonVitess  Xexclude from comparisonYanza  Xexclude from comparison
JSqlDB seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionJavaScript Query Language Database, stores JavaScript objects and primitivesA relational database management system that stores data in columnsA high performance open source SQL database for time series dataScalable, distributed, cloud-native DBMS, extending MySQLTime Series DBMS for IoT Applications
Primary database modelDocument store
Object oriented DBMS
Relational DBMSTime Series DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Score0.82
Rank#209  Overall
#97  Relational DBMS
Websitejsqldb.org (offline)www.monetdb.orgquestdb.iovitess.ioyanza.com
Technical documentationwww.monetdb.org/­Documentationquestdb.io/­docsvitess.io/­docs
DeveloperKonrad von BackstromMonetDB BVQuestDB Technology IncThe Linux Foundation, PlanetScaleYanza
Initial release20182004201420132015
Current release0.8, December 2018Dec2023 (11.49), December 202315.0.2, December 2022
License infoCommercial or Open SourceOpen SourceOpen Source infoMozilla Public License 2.0Open Source infoApache 2.0Open Source infoApache Version 2.0, commercial licenses availablecommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJava (Zero-GC), C++, RustGo
Server operating systemsLinux
macOS
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Windows
Docker
Linux
macOS
Windows
Data schemeschema-freeyesyes infoschema-free via InfluxDB Line Protocolyesschema-free
Typing infopredefined data types such as float or datenoyesyesyesno
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 indexesnoyesnoyesno
SQL infoSupport of SQLnoyes infoSQL 2003 with some extensionsSQL with time-series extensionsyes infowith proprietary extensionsno
APIs and other access methodsJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
ADO.NET
JDBC
MySQL protocol
ODBC
HTTP API
Supported programming languagesJavaScriptC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
any language that supports HTTP calls
Server-side scripts infoStored proceduresfunctions in JavaScriptyes, in SQL, C, Rnoyes infoproprietary syntaxno
Triggersnoyesnoyesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesnoneSharding via remote tableshorizontal partitioning (by timestamps)Shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone infoSource-replica replication available in experimental statusSource-replica replication with eventual consistencyMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Immediate Consistency
Foreign keys infoReferential integritynoyesnoyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID for single-table writesACID at shard levelno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyes infousing RocksDByesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infothrough memory mapped filesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or rolesno
More information provided by the system vendor
JSqlDbMonetDBQuestDBVitessYanza
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» 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
JSqlDbMonetDBQuestDBVitessYanza
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