DBMS > gStore vs. MaxDB vs. openGauss vs. YugabyteDB

System Properties Comparison gStore vs. MaxDB vs. openGauss vs. YugabyteDB

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Editorial information provided by DB-Engines

Name

Description

A native Graph DBMS to store and maintain very large RDF datasets.

A robust and reliable RDBMS optimized to run all major SAP solutions

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

High-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.

Primary database model

Graph DBMS
RDF store

Relational DBMS

Secondary database models

Document store
Spatial DBMS

Document store
Wide column store

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

Score	0.04
Rank	#359	Overall
	#37	Graph DBMS
	#18	RDF stores

Score	2.32
Rank	#112	Overall
	#55	Relational DBMS

Score	1.08
Rank	#183	Overall
	#84	Relational DBMS

Score	2.91
Rank	#102	Overall
	#51	Relational DBMS

Website

en.gstore.cn

maxdb.sap.com

gitee.com/opengauss
opengauss.org

www.yugabyte.com

Technical documentation

en.gstore.cn/#/enDocs

maxdb.sap.com/documentation

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

docs.yugabyte.com
github.com/yugabyte/yugabyte-db

Developer

SAP, acquired from Software AG (Adabas-D) in 1997

Huawei and openGauss community

Yugabyte Inc.

Initial release

2016

1984

2019

2017

Current release

1.2, November 2023

7.9.10.12, February 2024

3.0, March 2022

2.19, September 2023

License

Commercial or Open Source

Open Source

BSD

commercial

Limited community edition free

Open Source

Apache 2.0

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.

YugabyteDB Managed is the fully managed database-as-a-service offering of YugabyteDB. Get started quickly, and effortlessly ensure continuous availability and limitless scale of your cloud native applications.

Implementation language

C++

C, C++, Java

C and C++

Server operating systems

Linux

AIX
HP-UX
Linux
Solaris
Windows

Linux

Linux
OS X

Data scheme

schema-free and OWL/RDFS-schema support

yes

depending on used data model

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

ANSI SQL 2011

yes, PostgreSQL compatible

APIs and other access methods

HTTP API
SPARQL 1.1

ADO.NET
JDBC
ODBC
WebDAV

JDBC
ODBC

JDBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL

Supported programming languages

C++
Java
JavaScript (Node.js)
PHP
Python

.Net
C#
Java
Perl
PHP
Python

C
C++
Java

C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala

Server-side scripts

Stored procedures

yes

sql, plpgsql, C

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

horizontal partitioning (by range, list and hash)

Hash and Range Sharding, row-level geo-partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

Based on Raft distributed consensus protocol, minimum 3 replicas for continuous availability

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Strong consistency on writes and tunable consistency on reads

Foreign keys

Referential integrity

yes

Transaction concepts

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

yes

ACID

Distributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

based on RocksDB

In-memory capabilities

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

User concepts

Access control

Users, roles and permissions, Role-Based Access Control (RBAC) supported

fine grained access rights according to SQL-standard

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

yes

More information provided by the system vendor

Specific characteristics

YugabyteDB is an open source distributed SQL database for cloud native transactional...
» more

Competitive advantages

PostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....
» more

Typical application scenarios

Systems of record and engagement for cloud native applications that require resilience,...
» more

Market metrics

2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...
» more

Licensing and pricing models

Apache 2.0 license for the database
» more

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