DBMS > Drizzle vs. Hyprcubd vs. OpenTenBase

System Properties Comparison Drizzle vs. Hyprcubd vs. OpenTenBase

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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.

Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.

Description

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

Serverless Time Series DBMS

An enterprise-level distributed HTAP open source database based on PostgreSQL

Primary database model

measures the popularity of database management systems

Score	0.00
Rank	#383	Overall
	#158	Relational DBMS

Website

hyprcubd.com (offline)

github.com/OpenTenBase/OpenTenBase
www.opentenbase.org

Technical documentation

docs.opentenbase.org
docs.opentenbase.org/en

Developer

Drizzle project, originally started by Brian Aker

Hyprcubd, Inc.

OpenAtom Foundation, previously Tencent

Initial release

2008

Current release

7.2.4, September 2012

2.5, January 2024

License

Commercial or Open Source

Open Source

GNU GPL

commercial

Open Source

BSD-3

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

C++

Server operating systems

FreeBSD
Linux
OS X

hosted

Linux

Data scheme

yes

Typing

predefined data types such as float or date

yes

time, int, uint, float, string

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

with proprietary extensions

SQL-like query language

yes

APIs and other access methods

JDBC

gRPC (https)

Supported programming languages

C
C++
Java
PHP

C
Go
Java
PHP
Python

Server-side scripts

Stored procedures

Triggers

hooks for callbacks inside the server can be used.

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

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

Pluggable authentication mechanisms

e.g. LDAP, HTTP

token access

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

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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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Recent citations in the news

腾讯云捐赠OpenTenBase数据库软件，共建国产基础软件新生态
19 December 2023, CSDN

标签:腾讯云- 邮箱网
9 April 2013, chinaemail.com.cn

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