DBMS > Apache Doris vs. Kdb

System Properties Comparison Apache Doris vs. Kdb

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Our visitors often compare Apache Doris and Kdb with ClickHouse, Apache Spark (SQL) and DuckDB.

Editorial information provided by DB-Engines

Name

Description

An MPP-based analytics DBMS embracing the MySQL protocol

High performance Time Series DBMS

Primary database model

Relational DBMS

Time Series DBMS
Vector DBMS

Secondary database models

Relational DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	0.51
Rank	#244	Overall
	#115	Relational DBMS

Score	6.49
Rank	#53	Overall
	#2	Time Series DBMS
	#4	Vector DBMS

Website

doris.apache.org
github.com/apache/doris

kx.com

Technical documentation

github.com/apache/doris/wiki

code.kx.com

Developer

Apache Software Foundation, originally contributed from Baidu

Kx Systems, a division of First Derivatives plc

Initial release

2017

2000

kdb was released 2000, kdb+ in 2003

Current release

1.2.2, February 2023

3.6, May 2018

License

Commercial or Open Source

Open Source

Apache Version 2.0

commercial

free 32-bit version

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Java

Server operating systems

Linux

Linux
OS X
Solaris
Windows

Data scheme

yes

Typing

predefined data types such as float or date

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

yes

Secondary indexes

yes

table attribute 'grouped'

SQL

Support of SQL

yes

SQL-like query language (q)

APIs and other access methods

JDBC
MySQL client

HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket

Supported programming languages

Java

C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala

Server-side scripts

Stored procedures

user defined functions

Triggers

yes

with views

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

none

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

similar paradigm used for internal processing

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

fine grained access rights according to SQL-standard

rights management via user accounts

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More resources

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