DBMS > Drizzle vs. GBase vs. HBase vs. StarRocks

System Properties Comparison Drizzle vs. GBase vs. HBase vs. StarRocks

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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.

Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.

Wide-column store based on Apache Hadoop and on concepts of BigTable

An open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics

Forked from Apache Doris

Primary database model

Relational DBMS

Wide column store

Relational DBMS

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

Score	1.07
Rank	#185	Overall
	#86	Relational DBMS

Score	30.50
Rank	#26	Overall
	#2	Wide column stores

Score	1.04
Rank	#189	Overall
	#88	Relational DBMS

Website

www.gbase.cn

hbase.apache.org

www.starrocks.io

Technical documentation

hbase.apache.org/book.html

docs.starrocks.io/en-us/latest/introduction/StarRocks_intro

Developer

Drizzle project, originally started by Brian Aker

General Data Technology Co., Ltd.

Apache Software Foundation

Apache top-level project, originally developed by Powerset

The Linux Foundation

since Feb 2023

Initial release

2008

2004

2008

2020

Current release

7.2.4, September 2012

GBase 8a, GBase 8s, GBase 8c

2.3.4, January 2021

2.5.3, March 2023

License

Commercial or Open Source

Open Source

GNU GPL

commercial

Open Source

Apache version 2

Open Source

Apache Version 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.

Implementation language

C++

C, Java, Python

Java

C++, Java

Server operating systems

FreeBSD
Linux
OS X

Linux

Linux
Unix
Windows

using Cygwin

Linux

Data scheme

yes

schema-free, schema definition possible

yes

Typing

predefined data types such as float or date

yes

options to bring your own types, AVRO

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

Standard with numerous extensions

yes

APIs and other access methods

JDBC

ADO.NET
C API
JDBC
ODBC

Java API
RESTful HTTP API
Thrift

JDBC
MySQL protocol

Supported programming languages

C
C++
Java
PHP

C
C#
C++
Groovy
Java
PHP
Python
Scala

Java

Server-side scripts

Stored procedures

user defined functions

yes

Coprocessors in Java

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

horizontal partitioning (by range, list and hash) and vertical partitioning

Sharding

horizontal partitioning (by range and hash)

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

yes

Multi-source replication
Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Immediate Consistency or Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

Single row ACID (across millions of columns)

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

yes

Access Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC

Role based access control and fine grained access rights

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More resources

DB-Engines blog posts

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1 April 2015, Paul Andlinger

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