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DBMS > Apache Doris vs. Drizzle vs. EsgynDB vs. Galaxybase vs. Kdb

System Properties Comparison Apache Doris vs. Drizzle vs. EsgynDB vs. Galaxybase vs. Kdb

Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonDrizzle  Xexclude from comparisonEsgynDB  Xexclude from comparisonGalaxybase  Xexclude from comparisonKdb  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionScalable, ACID-compliant native distributed parallel graph platformHigh performance Time Series DBMS
Primary database modelRelational DBMSRelational DBMSRelational DBMSGraph DBMSTime Series DBMS
Vector DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.57
Rank#244  Overall
#113  Relational DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score0.00
Rank#383  Overall
#39  Graph DBMS
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Websitedoris.apache.org
github.com/­apache/­doris
www.esgyn.cngalaxybase.comkx.com
Technical documentationgithub.com/­apache/­doris/­wikicode.kx.com
DeveloperApache Software Foundation, originally contributed from BaiduDrizzle project, originally started by Brian AkerEsgynChuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司Kx Systems, a division of First Derivatives plc
Initial release20172008201520172000 infokdb was released 2000, kdb+ in 2003
Current release1.2.2, February 20237.2.4, September 2012Nov 20, November 20213.6, May 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGNU GPLcommercialcommercialcommercial infofree 32-bit version
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++, JavaC and Javaq
Server operating systemsLinuxFreeBSD
Linux
OS X
LinuxLinuxLinux
OS X
Solaris
Windows
Data schemeyesyesyesStrong typed schemayes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nononoyes
Secondary indexesyesyesyesyesyes infotable attribute 'grouped'
SQL infoSupport of SQLyesyes infowith proprietary extensionsyesnoSQL-like query language (q)
APIs and other access methodsJDBC
MySQL client
JDBCADO.NET
JDBC
ODBC
Browser interface
console (shell)
Graph API (Gremlin)
OpenCypher
Proprietary native API
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Supported programming languagesJavaC
C++
Java
PHP
All languages supporting JDBC/ODBC/ADO.NetGo
Java
Python
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functionsnoJava Stored Proceduresuser defined procedures and functionsuser defined functions
Triggersnono infohooks for callbacks inside the server can be used.noyes infowith views
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
Multi-source replication between multi datacentersSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono infosimilar paradigm used for internal processing
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardRole-based access controlrights management via user accounts
More information provided by the system vendor
Apache DorisDrizzleEsgynDBGalaxybaseKdb
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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More resources
Apache DorisDrizzleEsgynDBGalaxybaseKdb
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