DBMS > OrigoDB vs. Transwarp ArgoDB vs. YottaDB

System Properties Comparison OrigoDB vs. Transwarp ArgoDB vs. YottaDB

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Editorial information provided by DB-Engines

Name

Description

A fully ACID in-memory object graph database

Distributed Analytical Database to replace Hadoop+MPP hybrid architecture

A fast and solid embedded Key-value store

Primary database model

Document store
Object oriented DBMS

Relational DBMS

Key-value store

Secondary database models

Search engine

Relational DBMS

using the Octo plugin

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

Score	0.06
Rank	#380	Overall
	#50	Document stores
	#19	Object oriented DBMS

Score	0.12
Rank	#348	Overall
	#151	Relational DBMS

Score	0.28
Rank	#306	Overall
	#44	Key-value stores

Website

origodb.com

www.transwarp.cn/en/product/argodb

yottadb.com

Technical documentation

origodb.com/docs

docs.transwarp.cn/#/documents-support/docs?category=ARGODB

yottadb.com/resources/documentation

Developer

Robert Friberg et al

Transwarp

YottaDB, LLC

Initial release

2009

under the name LiveDB

2001

License

Commercial or Open Source

Open Source

commercial

Open Source

AGPL 3.0

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Server operating systems

Linux
Windows

Docker
Linux

Data scheme

yes

schema-free

Typing

predefined data types such as float or date

User defined using .NET types and collections

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.

can be achieved using .NET

Secondary indexes

yes

SQL

Support of SQL

yes

by using the Octo plugin

APIs and other access methods

.NET Client API
HTTP API
LINQ

PostgreSQL wire protocol

using the Octo plugin
Proprietary protocol

Supported programming languages

.Net

C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust

Server-side scripts

Stored procedures

yes

Triggers

yes

Domain Events

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

client side managed; servers are not synchronized

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Foreign keys

Referential integrity

depending on model

Transaction concepts

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

ACID

optimistic locking

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

Write ahead log

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

Role based authorization

Users and groups based on OS-security mechanisms

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