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DBMS > Databend vs. JSqlDb vs. MonetDB vs. QuestDB vs. StarRocks

System Properties Comparison Databend vs. JSqlDb vs. MonetDB vs. QuestDB vs. StarRocks

Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonJSqlDb  Xexclude from comparisonMonetDB  Xexclude from comparisonQuestDB  Xexclude from comparisonStarRocks  Xexclude from comparison
JSqlDB seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityJavaScript 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 dataAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache Doris
Primary database modelRelational DBMSDocument store
Object oriented DBMS
Relational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Score1.04
Rank#189  Overall
#88  Relational DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
jsqldb.org (offline)www.monetdb.orgquestdb.iowww.starrocks.io
Technical documentationdocs.databend.comwww.monetdb.org/­Documentationquestdb.io/­docsdocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperDatabend LabsKonrad von BackstromMonetDB BVQuestDB Technology IncThe Linux Foundation infosince Feb 2023
Initial release20212018200420142020
Current release1.0.59, April 20230.8, December 2018Dec2023 (11.49), December 20232.5.3, March 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open SourceOpen Source infoMozilla Public License 2.0Open Source infoApache 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustCJava (Zero-GC), C++, RustC++, Java
Server operating systemshosted
Linux
macOS
Linux
macOS
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Windows
Linux
Data schemeyesschema-freeyesyes infoschema-free via InfluxDB Line Protocolyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.nononono
Secondary indexesnonoyesnoyes
SQL infoSupport of SQLyesnoyes infoSQL 2003 with some extensionsSQL with time-series extensionsyes
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
JDBC
MySQL protocol
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
JavaScriptC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Java
Server-side scripts infoStored proceduresnofunctions in JavaScriptyes, in SQL, C, Rnouser defined functions
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding via remote tableshorizontal partitioning (by timestamps)horizontal partitioning (by range and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesnonenonenone infoSource-replica replication available in experimental statusSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACID for single-table writesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing RocksDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infothrough memory mapped filesno
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesfine grained access rights according to SQL-standardRole based access control and fine grained access rights
More information provided by the system vendor
DatabendJSqlDbMonetDBQuestDBStarRocks
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
DatabendJSqlDbMonetDBQuestDBStarRocks
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