DBMS > ToroDB vs. Transwarp KunDB vs. YottaDB

System Properties Comparison ToroDB vs. Transwarp KunDB vs. YottaDB

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Editorial information provided by DB-Engines

Name

ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.

Description

A MongoDB-compatible JSON document store, built on top of PostgreSQL

OLTP DBMS based on a distributed architecture and highly compatible with MySQL and Oracle

A fast and solid embedded Key-value store

Primary database model

Document store

Relational DBMS

Key-value store

Secondary database models

Relational DBMS

using the Octo plugin

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

Score	0.00
Rank	#381	Overall
	#156	Relational DBMS

Score	0.18
Rank	#312	Overall
	#45	Key-value stores

Website

github.com/torodb/server

www.transwarp.cn/en/product/kundb

yottadb.com

Technical documentation

yottadb.com/resources/documentation

Developer

8Kdata

Transwarp

YottaDB, LLC

Initial release

2016

2001

License

Commercial or Open Source

Open Source

AGPL-V3

commercial

Open Source

AGPL 3.0

Cloud-based only

Only available as a cloud service

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Database as a Service

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Implementation language

Java

Server operating systems

All OS with a Java 7 VM

Docker
Linux

Data scheme

schema-free

yes

schema-free

Typing

predefined data types such as float or date

yes

string, integer, double, boolean, date, object_id

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.

Secondary indexes

yes

SQL

Support of SQL

yes

by using the Octo plugin

APIs and other access methods

PostgreSQL wire protocol

using the Octo plugin
Proprietary protocol

Supported programming languages

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

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency
Immediate Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

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

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 and roles

yes

Users and groups based on OS-security mechanisms

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