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DBMS > Apache Druid vs. GreptimeDB vs. Kdb vs. MonetDB

System Properties Comparison Apache Druid vs. GreptimeDB vs. Kdb vs. MonetDB

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonGreptimeDB  Xexclude from comparisonKdb  Xexclude from comparisonMonetDB  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataAn open source Time Series DBMS built for increased scalability, high performance and efficiencyHigh performance Time Series DBMSA relational database management system that stores data in columns
Primary database modelRelational DBMS
Time Series DBMS
Time Series DBMSTime Series DBMS
Vector DBMS
Relational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score1.72
Rank#141  Overall
#64  Relational DBMS
Websitedruid.apache.orggreptime.comkx.comwww.monetdb.org
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.greptime.comcode.kx.comwww.monetdb.org/­Documentation
DeveloperApache Software Foundation and contributorsGreptime Inc.Kx Systems, a division of First Derivatives plcMonetDB BV
Initial release201220222000 infokdb was released 2000, kdb+ in 20032004
Current release29.0.1, April 20243.6, May 2018Dec2023 (11.49), December 2023
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache Version 2.0commercial infofree 32-bit versionOpen Source infoMozilla Public License 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaRustqC
Server operating systemsLinux
OS X
Unix
Android
Docker
FreeBSD
Linux
macOS
Windows
Linux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Data schemeyes infoschema-less columns are supportedschema-free, schema definition possibleyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyes
Secondary indexesyesyesyes infotable attribute 'grouped'yes
SQL infoSupport of SQLSQL for queryingyesSQL-like query language (q)yes infoSQL 2003 with some extensions
APIs and other access methodsJDBC
RESTful HTTP/JSON API
gRPC
HTTP API
JDBC
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C++
Erlang
Go
Java
JavaScript
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresnoPythonuser defined functionsyes, in SQL, C, R
Triggersnoyes infowith viewsyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardinghorizontal partitioningSharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replicationnone infoSource-replica replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infosimilar paradigm used for internal processingno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemSimple rights management via user accountsrights management via user accountsfine grained access rights according to SQL-standard
More information provided by the system vendor
Apache DruidGreptimeDBKdbMonetDB
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Integrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
provides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
tick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Goldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
kdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more
upon request
» more

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Apache DruidGreptimeDBKdbMonetDB
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