DBMS > Apache HBase vs. DuckDB vs. GBase

System Properties Comparison Apache HBase vs. DuckDB vs. GBase

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Editorial information provided by DB-Engines

Name

Description

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

An embeddable, in-process, column-oriented SQL OLAP RDBMS

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

Primary database model

Wide column store

Relational DBMS

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

Score	24.08
Rank	#26	Overall
	#2	Wide column stores

Score	6.71
Rank	#51	Overall
	#31	Relational DBMS

Score	1.40
Rank	#148	Overall
	#67	Relational DBMS

Website

hbase.apache.org

duckdb.org

www.gbase.cn

Technical documentation

hbase.apache.org/book.html

duckdb.org/docs

Developer

Apache Software Foundation

Apache top-level project, originally developed by Powerset

General Data Technology Co., Ltd.

Initial release

2008

2018

2004

Current release

2.3.4, January 2021

1.0.0, June 2024

GBase 8a, GBase 8s, GBase 8c

License

Commercial or Open Source

Open Source

Apache version 2

Open Source

MIT License

commercial

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Java

C++

C, Java, Python

Server operating systems

Linux
Unix
Windows

using Cygwin

server-less

Linux

Data scheme

schema-free, schema definition possible

yes

Typing

predefined data types such as float or date

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

Standard with numerous extensions

APIs and other access methods

Java API
RESTful HTTP API
Thrift

Arrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC

ADO.NET
C API
JDBC
ODBC

Supported programming languages

C
C#
C++
Groovy
Java
PHP
Python
Scala

C
C#

3rd party driver
C++
Crystal

3rd party driver
Go

3rd party driver
Java
Lisp

3rd party driver
Python
R
Ruby

3rd party driver
Rust
Swift
Zig

3rd party driver

Server-side scripts

Stored procedures

yes

Coprocessors in Java

user defined functions

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

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

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

none

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

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

Single row ACID (across millions of columns)

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes, multi-version concurrency control (MVCC)

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

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

yes

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