DBMS > EXASOL vs. Galaxybase vs. Postgres-XL vs. Transwarp ArgoDB

System Properties Comparison EXASOL vs. Galaxybase vs. Postgres-XL vs. Transwarp ArgoDB

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Editorial information provided by DB-Engines

Name

Description

High-performance, in-memory, MPP database specifically designed for in-memory analytics.

Scalable, ACID-compliant native distributed parallel graph platform

Based on PostgreSQL enhanced with MPP and write-scale-out cluster features

Distributed Analytical Database to replace Hadoop+MPP hybrid architecture

Primary database model

Relational DBMS

Graph DBMS

Relational DBMS

Secondary database models

Document store
Spatial DBMS

Search engine

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

Score	1.76
Rank	#139	Overall
	#62	Relational DBMS

Score	0.07
Rank	#377	Overall
	#40	Graph DBMS

Score	0.53
Rank	#254	Overall
	#117	Relational DBMS

Score	0.12
Rank	#348	Overall
	#151	Relational DBMS

Website

www.exasol.com

galaxybase.com

www.postgres-xl.org

www.transwarp.cn/en/product/argodb

Technical documentation

www.exasol.com/resources

www.postgres-xl.org/documentation

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

Developer

Exasol

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

Transwarp

Initial release

2000

2017

2014

since 2012, originally named StormDB

Current release

Nov 20, November 2021

10 R1, October 2018

License

Commercial or Open Source

commercial

Open Source

Mozilla public license

commercial

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

C and Java

Server operating systems

Linux

Linux
macOS

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.

yes

XML type, but no XML query functionality

Secondary indexes

yes

SQL

Support of SQL

yes

distributed, parallel query execution

yes

APIs and other access methods

.Net
JDBC
ODBC
WebSocket

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

ADO.NET
JDBC
native C library
ODBC
streaming API for large objects

Supported programming languages

Java
Lua
Python
R

Go
Java
Python

.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl

Server-side scripts

Stored procedures

user defined functions

user defined procedures and functions

user defined functions

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

horizontal partitioning

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Hadoop integration

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

MVCC

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

Access rights for users, groups and roles according to SQL-standard

Role-based access control

fine grained access rights according to SQL-standard

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More resources

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