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DBMS > Apache Druid vs. JSqlDb vs. MonetDB vs. Prometheus vs. QuestDB

System Properties Comparison Apache Druid vs. JSqlDb vs. MonetDB vs. Prometheus vs. QuestDB

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonJSqlDb  Xexclude from comparisonMonetDB  Xexclude from comparisonPrometheus  Xexclude from comparisonQuestDB  Xexclude from comparison
JSqlDB seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataJavaScript Query Language Database, stores JavaScript objects and primitivesA relational database management system that stores data in columnsOpen-source Time Series DBMS and monitoring systemA high performance open source SQL database for time series data
Primary database modelRelational DBMS
Time Series DBMS
Document store
Object oriented DBMS
Relational DBMSTime Series DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Websitedruid.apache.orgjsqldb.org (offline)www.monetdb.orgprometheus.ioquestdb.io
Technical documentationdruid.apache.org/­docs/­latest/­designwww.monetdb.org/­Documentationprometheus.io/­docsquestdb.io/­docs
DeveloperApache Software Foundation and contributorsKonrad von BackstromMonetDB BVQuestDB Technology Inc
Initial release20122018200420152014
Current release29.0.1, April 20240.8, December 2018Dec2023 (11.49), December 2023
License infoCommercial or Open SourceOpen Source infoApache license v2Open SourceOpen Source infoMozilla Public License 2.0Open Source infoApache 2.0Open Source infoApache 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 languageJavaCGoJava (Zero-GC), C++, Rust
Server operating systemsLinux
OS X
Unix
Linux
macOS
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Linux
Windows
Linux
macOS
Windows
Data schemeyes infoschema-less columns are supportedschema-freeyesyesyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesnoyesNumeric data onlyyes
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 infoImport of XML data possibleno
Secondary indexesyesnoyesnono
SQL infoSupport of SQLSQL for queryingnoyes infoSQL 2003 with some extensionsnoSQL with time-series extensions
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
RESTful HTTP/JSON APIHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
JavaScriptC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresnofunctions in JavaScriptyes, in SQL, C, Rnono
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednoneSharding via remote tablesShardinghorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnonenone infoSource-replica replication available in experimental statusyes infoby FederationSource-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 ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID for single-table writes
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.nonoyes infothrough memory mapped files
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemfine grained access rights according to SQL-standardno
More information provided by the system vendor
Apache DruidJSqlDbMonetDBPrometheusQuestDB
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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More resources
Apache DruidJSqlDbMonetDBPrometheusQuestDB
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