DBMS > Apache Doris vs. Galaxybase vs. IBM Db2 warehouse

System Properties Comparison Apache Doris vs. Galaxybase vs. IBM Db2 warehouse

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Editorial information provided by DB-Engines

Name

Description

An MPP-based analytics DBMS embracing the MySQL protocol

Scalable, ACID-compliant native distributed parallel graph platform

Cloud-based data warehousing service

Primary database model

Relational DBMS

Graph DBMS

Relational DBMS

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

Score	0.46
Rank	#251	Overall
	#117	Relational DBMS

Score	0.00
Rank	#394	Overall
	#42	Graph DBMS

Score	1.17
Rank	#167	Overall
	#75	Relational DBMS

Website

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

galaxybase.com

www.ibm.com/products/db2/warehouse

Technical documentation

github.com/apache/doris/wiki

Developer

Apache Software Foundation, originally contributed from Baidu

Chuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司

IBM

Initial release

2017

2014

Current release

1.2.2, February 2023

Nov 20, November 2021

License

Commercial or Open Source

Open Source

Apache Version 2.0

commercial

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Java

C and Java

Server operating systems

Linux

hosted

Data scheme

yes

Strong typed schema

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.

Import/export of XML data possible

Secondary indexes

yes

SQL

Support of SQL

yes

APIs and other access methods

JDBC
MySQL client

Browser interface
console (shell)
Graph API (Gremlin)
OpenCypher
Proprietary native API

.NET Client API
JDBC
ODBC
OLE DB

Supported programming languages

Java

Go
Java
Python

Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby

Server-side scripts

Stored procedures

user defined functions

user defined procedures and functions

PL/SQL, SQL PL

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

none

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

Relationships in graphs

yes

Transaction concepts

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

ACID

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

Role-based access control

fine grained access rights according to SQL-standard

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