DBMS > chDB vs. Hawkular Metrics vs. openGauss vs. Transwarp StellarDB

System Properties Comparison chDB vs. Hawkular Metrics vs. openGauss vs. Transwarp StellarDB

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Editorial information provided by DB-Engines

Name

Description

An embedded SQL OLAP Engine powered by ClickHouse

Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.

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

A distributed graph DBMS built for enterprise-level graph applications

Primary database model

Secondary database models

Time Series DBMS

Document store
Spatial DBMS

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

Score	0.07
Rank	#376	Overall
	#158	Relational DBMS

Score	0.08
Rank	#366	Overall
	#39	Time Series DBMS

Score	1.06
Rank	#184	Overall
	#84	Relational DBMS

Score	0.07
Rank	#371	Overall
	#39	Graph DBMS

Website

github.com/chdb-io/chdb

www.hawkular.org

gitee.com/opengauss
opengauss.org

www.transwarp.cn/en/product/stellardb

Technical documentation

doc.chdb.io

www.hawkular.org/hawkular-metrics/docs/user-guide

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

Developer

Community supported by Red Hat

Huawei and openGauss community

Transwarp

Initial release

2023

2014

2019

Current release

3.0, March 2022

License

Commercial or Open Source

Open Source

Apache Version 2.0

Open Source

Apache 2.0

Open Source

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

Java

C, C++, Java

Server operating systems

server-less

Linux
OS X
Windows

Linux

Data scheme

schema-free

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

Close to ANSI SQL (SQL/JSON + extensions)

ANSI SQL 2011

SQL-like query language

APIs and other access methods

HTTP REST

JDBC
ODBC

OpenCypher

Supported programming languages

Bun
C
C++
Go
JavaScript (Node.js)
Python
Rust

Go
Java
Python
Ruby

C
C++
Java

Server-side scripts

Stored procedures

yes

Triggers

yes

via Hawkular Alerting

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

based on Cassandra

horizontal partitioning (by range, list and hash)

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

based on Cassandra

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

based on Cassandra
Immediate Consistency

based on Cassandra

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.

User concepts

Access control

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

yes

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