DBMS > GBase vs. HBase vs. ITTIA vs. OpenTenBase

System Properties Comparison GBase vs. HBase vs. ITTIA vs. OpenTenBase

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Editorial information provided by DB-Engines

Name

Description

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

Edge Time Series DBMS with Real-Time Stream Processing

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

Primary database model

Secondary database models

Relational DBMS

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

Score	1.05
Rank	#186	Overall
	#86	Relational DBMS

Score	27.97
Rank	#26	Overall
	#2	Wide column stores

Score	0.44
Rank	#267	Overall
	#23	Time Series DBMS

Score	0.08
Rank	#370	Overall
	#156	Relational DBMS

Website

www.gbase.cn

hbase.apache.org

www.ittia.com

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

Technical documentation

hbase.apache.org/book.html

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

Developer

General Data Technology Co., Ltd.

Apache Software Foundation

Apache top-level project, originally developed by Powerset

ITTIA L.L.C.

OpenAtom Foundation, previously Tencent

Initial release

2004

2008

2007

Current release

GBase 8a, GBase 8s, GBase 8c

2.3.4, January 2021

8.7

2.5, January 2024

License

Commercial or Open Source

commercial

Open Source

Apache version 2

commercial

Open Source

BSD-3

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, Python

Java

C and C++

Server operating systems

Linux

Linux
Unix
Windows

using Cygwin

Linux
Windows

Linux

Data scheme

yes

schema-free, schema definition possible

Fixed schema

yes

Typing

predefined data types such as float or date

yes

options to bring your own types, AVRO

Float/Blob/Integer/String/Unicode/Date/Time/Timestamp/Interval

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

Standard with numerous extensions

yes

APIs and other access methods

ADO.NET
C API
JDBC
ODBC

Java API
RESTful HTTP API
Thrift

JDBC
ODBC
RESTful HTTP API
WebSocket

Supported programming languages

C
C#
C++
Groovy
Java
PHP
Python
Scala

C
C++
JavaScript (Node.js)
Python

C
Go
Java
PHP
Python

Server-side scripts

Stored procedures

user defined functions

yes

Coprocessors in Java

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

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

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Multi-source replication
Source-replica replication

yes

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)

yes

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

yes

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

Database file passwords

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

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More resources

DB-Engines blog posts

Cloudera's HBase PaaS offering now supports Complex Transactions
11 August 2021, Krishna Maheshwari (sponsor)

Why is Hadoop not listed in the DB-Engines Ranking?
13 May 2013, Paul Andlinger

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