DBMS > Apache Doris vs. Dragonfly vs. Galaxybase

System Properties Comparison Apache Doris vs. Dragonfly vs. Galaxybase

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Editorial information provided by DB-Engines

Name

Description

An MPP-based analytics DBMS embracing the MySQL protocol

A drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instance

Scalable, ACID-compliant native distributed parallel graph platform

Primary database model

Relational DBMS

Key-value store

Graph DBMS

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

Score	0.46
Rank	#251	Overall
	#117	Relational DBMS

Score	0.50
Rank	#243	Overall
	#35	Key-value stores

Score	0.00
Rank	#394	Overall
	#42	Graph DBMS

Website

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

github.com/dragonflydb/dragonfly
www.dragonflydb.io

galaxybase.com

Technical documentation

github.com/apache/doris/wiki

www.dragonflydb.io/docs

Developer

Apache Software Foundation, originally contributed from Baidu

DragonflyDB team and community contributors

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

Initial release

2017

2023

2017

Current release

1.2.2, February 2023

1.0, March 2023

Nov 20, November 2021

License

Commercial or Open Source

Open Source

Apache Version 2.0

Open Source

BSL 1.1

commercial

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Java

C++

C and Java

Server operating systems

Linux

Data scheme

yes

scheme-free

Strong typed schema

Typing

predefined data types such as float or date

yes

strings, hashes, lists, sets, sorted sets, bit arrays

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.

Secondary indexes

yes

SQL

Support of SQL

yes

APIs and other access methods

JDBC
MySQL client

Proprietary protocol

RESP - REdis Serialization Protocol

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

Supported programming languages

Java

C
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl

Go
Java
Python

Server-side scripts

Stored procedures

user defined functions

Lua

user defined procedures and functions

Triggers

publish/subscribe channels provide some trigger functionality

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

none

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

Relationships in graphs

Transaction concepts

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

Atomic execution of command blocks and scripts

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes, strict serializability by the server

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

Password-based authentication

Role-based access control

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