DBMS > openGauss vs. OpenTenBase vs. Oracle Berkeley DB

System Properties Comparison openGauss vs. OpenTenBase vs. Oracle Berkeley DB

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Editorial information provided by DB-Engines

Name

Description

An enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by Huawei

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

Widely used in-process key-value store

Primary database model

Relational DBMS

Key-value store

supports sorted and unsorted key sets
Native XML DBMS

in the Oracle Berkeley DB XML version

Secondary database models

Document store
Spatial DBMS

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

Score	1.01
Rank	#180	Overall
	#82	Relational DBMS

Score	0.00
Rank	#381	Overall
	#156	Relational DBMS

Score	1.79
Rank	#127	Overall
	#21	Key-value stores
	#3	Native XML DBMS

Website

gitee.com/opengauss
opengauss.org

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

www.oracle.com/database/technologies/related/berkeleydb.html

Technical documentation

docs.opengauss.org/en
gitee.com/opengauss/docs

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

docs.oracle.com/cd/E17076_05/html/index.html

Developer

Huawei and openGauss community

OpenAtom Foundation, previously Tencent

Oracle

originally developed by Sleepycat, which was acquired by Oracle

Initial release

2019

1994

Current release

3.0, March 2022

2.5, January 2024

18.1.40, May 2020

License

Commercial or Open Source

Open Source

BSD-3

Open Source

commercial license available

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

C, Java, C++ (depending on the Berkeley DB edition)

Server operating systems

Linux

AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows

Data scheme

yes

schema-free

Typing

predefined data types such as float or date

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

only with the Berkeley DB XML edition

Secondary indexes

yes

SQL

Support of SQL

ANSI SQL 2011

yes

SQL interfaced based on SQLite is available

APIs and other access methods

JDBC
ODBC

Supported programming languages

C
C++
Java

C
Go
Java
PHP
Python

.Net

Figaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others

Third-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js)

3rd party binding
Perl
Python
Tcl

Server-side scripts

Stored procedures

yes

Triggers

yes

only for the SQL API

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning (by range, list and hash)

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

yes

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

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

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

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More resources

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