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

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

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonGreptimeDB  Xexclude from comparisonKdb  Xexclude from comparisonSphinx  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 DBMSOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMS
Time Series DBMS
Time Series DBMSTime Series DBMS
Vector DBMS
Search engine
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
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websitedruid.apache.orggreptime.comkx.comsphinxsearch.com
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.greptime.comcode.kx.comsphinxsearch.com/­docs
DeveloperApache Software Foundation and contributorsGreptime Inc.Kx Systems, a division of First Derivatives plcSphinx Technologies Inc.
Initial release201220222000 infokdb was released 2000, kdb+ in 20032001
Current release29.0.1, April 20243.6, May 20183.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache Version 2.0commercial infofree 32-bit versionOpen Source infoGPL version 2, commercial licence available
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
NetBSD
OS X
Solaris
Windows
Data schemeyes infoschema-less columns are supportedschema-free, schema definition possibleyesyes
Typing infopredefined data types such as float or dateyesyesyesno
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 infofull-text index on all search fields
SQL infoSupport of SQLSQL for queryingyesSQL-like query language (q)SQL-like query language (SphinxQL)
APIs and other access methodsJDBC
RESTful HTTP/JSON API
gRPC
HTTP API
JDBC
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Proprietary protocol
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++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnoPythonuser defined functionsno
Triggersnoyes infowith viewsno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardinghorizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replicationnone
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 integritynoyesno
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 infoThe original contents of fields are not stored in the Sphinx index.
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 accountsno
More information provided by the system vendor
Apache DruidGreptimeDBKdbSphinx
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 DruidGreptimeDBKdbSphinx
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