DBMS > Galaxybase vs. Netezza vs. openGauss vs. Sadas Engine vs. XTDB

System Properties Comparison Galaxybase vs. Netezza vs. openGauss vs. Sadas Engine vs. XTDB

Editorial information provided by DB-Engines

Name

Description

Scalable, ACID-compliant native distributed parallel graph platform

Data warehouse and analytics appliance part of IBM PureSystems

An enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by Huawei

SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments

A general purpose database with bitemporal SQL and Datalog and graph queries

Primary database model

Graph DBMS

Relational DBMS

Document store

Secondary database models

Document store
Spatial DBMS

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

Score	0.00
Rank	#383	Overall
	#39	Graph DBMS

Score	9.06
Rank	#46	Overall
	#29	Relational DBMS

Score	1.08
Rank	#183	Overall
	#84	Relational DBMS

Score	0.00
Rank	#383	Overall
	#158	Relational DBMS

Score	0.11
Rank	#343	Overall
	#46	Document stores

Website

galaxybase.com

www.ibm.com/products/netezza

gitee.com/opengauss
opengauss.org

www.sadasengine.com

github.com/xtdb/xtdb
www.xtdb.com

Technical documentation

docs.opengauss.org/en
gitee.com/opengauss/docs

www.sadasengine.com/en/sadas-engine-download-free-trial-and-documentation/#documentation

www.xtdb.com/docs

Developer

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

IBM

Huawei and openGauss community

SADAS s.r.l.

Juxt Ltd.

Initial release

2017

2000

2019

2006

2019

Current release

Nov 20, November 2021

3.0, March 2022

8.0

1.19, September 2021

License

Commercial or Open Source

commercial

Open Source

commercial

free trial version available

Open Source

MIT License

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

C, C++, Java

C++

Clojure

Server operating systems

Linux

included in appliance

Linux

AIX
Linux
Windows

All OS with a Java 8 (and higher) VM
Linux

Data scheme

Strong typed schema

yes

schema-free

Typing

predefined data types such as float or date

yes

yes, extensible-data-notation format

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

ANSI SQL 2011

yes

limited SQL, making use of Apache Calcite

APIs and other access methods

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

JDBC
ODBC
OLE DB

JDBC
ODBC

JDBC
ODBC
Proprietary protocol

HTTP REST
JDBC

Supported programming languages

Go
Java
Python

C
C++
Fortran
Java
Lua
Perl
Python
R

C
C++
Java

.Net
C
C#
C++
Groovy
Java
PHP
Python

Clojure
Java

Server-side scripts

Stored procedures

user defined procedures and functions

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

horizontal partitioning (by range, list and hash)

horizontal partitioning

none

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

none

yes, each node contains all data

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

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

yes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB

In-memory capabilities

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

yes

managed by 'Learn by Usage'

User concepts

Access control

Role-based access control

Users with fine-grained authorization concept

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

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More resources

Recent citations in the news

IBM announces availability of the high-performance, cloud-native Netezza Performance Server as a Service on AWS
11 July 2023, IBM

AWS and IBM Netezza come out in support of Iceberg in table format face-off
1 August 2023, The Register

Migrating your Netezza data warehouse to Amazon Redshift | Amazon Web Services
27 May 2020, AWS Blog

IBM Brings Back a Netezza, Attacks Yellowbrick
29 June 2020, Datanami

Netezza Performance Server
12 August 2020, IBM

provided by Google News

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12 May 2024, gizmochina

Huawei unveils OrangePi Kunpeng Pro development board
10 May 2024, HC Newsroom

provided by Google News

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