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

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

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonGreptimeDB  Xexclude from comparisonHive  Xexclude from comparisonKdb  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 efficiencydata warehouse software for querying and managing large distributed datasets, built on HadoopHigh performance Time Series DBMS
Primary database modelRelational DBMS
Time Series DBMS
Time Series DBMSRelational DBMSTime Series DBMS
Vector DBMS
Secondary database modelsRelational 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
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Websitedruid.apache.orggreptime.comhive.apache.orgkx.com
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.greptime.comcwiki.apache.org/­confluence/­display/­Hive/­Homecode.kx.com
DeveloperApache Software Foundation and contributorsGreptime Inc.Apache Software Foundation infoinitially developed by FacebookKx Systems, a division of First Derivatives plc
Initial release2012202220122000 infokdb was released 2000, kdb+ in 2003
Current release29.0.1, April 20243.1.3, April 20223.6, May 2018
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache Version 2.0Open Source infoApache Version 2commercial infofree 32-bit version
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaRustJavaq
Server operating systemsLinux
OS X
Unix
Android
Docker
FreeBSD
Linux
macOS
Windows
All OS with a Java VMLinux
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 indexesyesyesyesyes infotable attribute 'grouped'
SQL infoSupport of SQLSQL for queryingyesSQL-like DML and DDL statementsSQL-like query language (q)
APIs and other access methodsJDBC
RESTful HTTP/JSON API
gRPC
HTTP API
JDBC
JDBC
ODBC
Thrift
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C++
Erlang
Go
Java
JavaScript
C++
Java
PHP
Python
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Server-side scripts infoStored proceduresnoPythonyes infouser defined functions and integration of map-reduceuser defined functions
Triggersnonoyes infowith views
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesselectable replication factorSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReduceno infosimilar paradigm used for internal processing
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
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 accountsAccess rights for users, groups and rolesrights management via user accounts
More information provided by the system vendor
Apache DruidGreptimeDBHiveKdb
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...
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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 DruidGreptimeDBHiveKdb
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