DBMS > Drizzle vs. openGemini vs. OpenTSDB vs. PostGIS

System Properties Comparison Drizzle vs. openGemini vs. OpenTSDB vs. PostGIS

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Editorial information provided by DB-Engines

Name

Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.

Description

MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.

An open source distributed Time Series DBMS with high concurrency, high performance, and high scalability

Scalable Time Series DBMS based on HBase

Spatial extension of PostgreSQL

Primary database model

Relational DBMS

Time Series DBMS

Spatial DBMS

Secondary database models

Relational DBMS

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

Score	0.09
Rank	#361	Overall
	#37	Time Series DBMS

Score	1.68
Rank	#142	Overall
	#12	Time Series DBMS

Score	21.72
Rank	#29	Overall
	#1	Spatial DBMS

Website

www.opengemini.org
github.com/openGemini

opentsdb.net

postgis.net

Technical documentation

docs.opengemini.org/guide

opentsdb.net/docs/build/html/index.html

postgis.net/documentation

Developer

Drizzle project, originally started by Brian Aker

Huawei and openGemini community

currently maintained by Yahoo and other contributors

Initial release

2008

2022

2011

2005

Current release

7.2.4, September 2012

1.1, July 2023

3.4.2, February 2024

License

Commercial or Open Source

Open Source

GNU GPL

Open Source

Apache Version 2.0

Open Source

LGPL

Open Source

GPL v2.0

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.

Implementation language

C++

Java

Server operating systems

FreeBSD
Linux
OS X

Linux
Windows

Data scheme

yes

schema-free

yes

Typing

predefined data types such as float or date

yes

Integer, Float, Boolean, String

numeric data for metrics, strings for tags

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

Secondary indexes

yes

SQL

Support of SQL

yes

with proprietary extensions

SQL-like query language

yes

APIs and other access methods

JDBC

HTTP REST

HTTP API
Telnet API

Supported programming languages

C
C++
Java
PHP

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

Erlang
Go
Java
Python
R
Ruby

Server-side scripts

Stored procedures

user defined functions

Triggers

hooks for callbacks inside the server can be used.

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

based on HBase

yes

based on PostgreSQL

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

yes

selectable replication factor

based on HBase

yes

based on PostgreSQL

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

based on HBase

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

Pluggable authentication mechanisms

e.g. LDAP, HTTP

Administrators and common users accounts

yes

based on PostgreSQL

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More resources

DB-Engines blog posts

MySQL won the April ranking; did its forks follow?
1 April 2015, Paul Andlinger

Has MySQL finally lost its mojo?
1 July 2013, Matthias Gelbmann

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Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

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Spatial database management systems
6 April 2021, Matthias Gelbmann

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Recent citations in the news

About HUAWEI Open Source
9 February 2022, Huawei

provided by Google News

Comparing Different Time-Series Databases
10 February 2022, hackernoon.com

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28 June 2016, SiliconANGLE News

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2 April 2015, O'Reilly Radar

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