DBMS > Dolt vs. Oracle Berkeley DB vs. OrigoDB

System Properties Comparison Dolt vs. Oracle Berkeley DB vs. OrigoDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

A MySQL compatible DBMS with Git-like versioning of data and schema

Widely used in-process key-value store

A fully ACID in-memory object graph database

Primary database model

Relational DBMS

Key-value store

supports sorted and unsorted key sets
Native XML DBMS

in the Oracle Berkeley DB XML version

Document store
Object oriented DBMS

Secondary database models

Document store

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

Score	0.69
Rank	#219	Overall
	#101	Relational DBMS

Score	1.82
Rank	#127	Overall
	#21	Key-value stores
	#3	Native XML DBMS

Score	0.00
Rank	#379	Overall
	#54	Document stores
	#20	Object oriented DBMS

Website

github.com/dolthub/dolt
www.dolthub.com

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

origodb.com

Technical documentation

docs.dolthub.com

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

origodb.com/docs

Developer

DoltHub Inc

Oracle

originally developed by Sleepycat, which was acquired by Oracle

Robert Friberg et al

Initial release

2018

1994

2009

under the name LiveDB

Current release

18.1.40, May 2020

License

Commercial or Open Source

Open Source

Apache Version 2.0

Open Source

commercial license available

Open Source

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

Server operating systems

Linux
macOS
Windows

AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows

Linux
Windows

Data scheme

yes

schema-free

yes

Typing

predefined data types such as float or date

yes

User defined using .NET types and collections

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

can be achieved using .NET

Secondary indexes

yes

SQL

Support of SQL

yes

SQL interfaced based on SQLite is available

APIs and other access methods

CLI Client
HTTP REST

.NET Client API
HTTP API
LINQ

Supported programming languages

Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl

.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

.Net

Server-side scripts

Stored procedures

yes

currently in alpha release

yes

Triggers

yes

only for the SQL API

yes

Domain Events

Partitioning methods

Methods for storing different data on different nodes

none

horizontal partitioning

client side managed; servers are not synchronized

Replication methods

Methods for redundantly storing data on multiple nodes

A database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Foreign keys

Referential integrity

yes

depending on model

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

Write ahead log

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

Only one user is configurable, and must be specified in the config file at startup

Role based authorization

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

Recent citations in the news

An open-source data storage and visualization platform for collaborative qubit control
30 September 2024, Nature.com

7 Modern SQL Databases You Must Know in 2024
28 June 2024, KDnuggets

Top 100+ Essential Data Science Tools & Repos: Streamline Your Workflow Today!
27 June 2024, packtpub.com

Top Data Version Control Tools for Machine Learning Research in 2023
24 July 2023, MarkTechPost

Data Versioning at Scale: Chaos and Chaos Management
10 February 2023, InfoQ.com

provided by Google News

Margo Seltzer Named ACM Athena Lecturer for Technical and Mentoring Contributions
26 April 2023, HPCwire

What is NoSQL (Not Only SQL database)?
28 February 2022, TechTarget

Database Trends Report: SQL Beats NoSQL, MySQL Most Popular
5 March 2019, ADT Magazine

Which Are the Top Local Databases for React Native
15 October 2019, Appinventiv

Margo I. Seltzer
12 December 2024, Berkman Klein Center

provided by Google News

Share this page