DBMS > Apache Doris vs. LeanXcale vs. Transwarp ArgoDB

System Properties Comparison Apache Doris vs. LeanXcale vs. Transwarp ArgoDB

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Editorial information provided by DB-Engines

Name

Description

An MPP-based analytics DBMS embracing the MySQL protocol

A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities

Distributed Analytical Database to replace Hadoop+MPP hybrid architecture

Primary database model

Relational DBMS

Key-value store
Relational DBMS

Relational DBMS

Secondary database models

Search engine

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

Score	0.45
Rank	#250	Overall
	#116	Relational DBMS

Score	0.22
Rank	#298	Overall
	#42	Key-value stores
	#133	Relational DBMS

Score	0.00
Rank	#379	Overall
	#155	Relational DBMS

Website

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

www.leanxcale.com

www.transwarp.cn/en/product/argodb

Technical documentation

github.com/apache/doris/wiki

docs.transwarp.cn/#/documents-support/docs?category=ARGODB

Developer

Apache Software Foundation, originally contributed from Baidu

LeanXcale

Transwarp

Initial release

2017

2015

Current release

1.2.2, February 2023

License

Commercial or Open Source

Open Source

Apache Version 2.0

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

Server operating systems

Linux

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.

Secondary indexes

yes

SQL

Support of SQL

yes

through Apache Derby

yes

APIs and other access methods

JDBC
MySQL client

JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector

Supported programming languages

Java

C
Java
Scala

Server-side scripts

Stored procedures

user defined functions

Triggers

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

none

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

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

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More resources

Recent citations in the news

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24 June 2022, InfoWorld

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9 October 2023, hackernoon.com

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