DBMS > OrigoDB vs. SpatiaLite vs. YTsaurus

System Properties Comparison OrigoDB vs. SpatiaLite vs. YTsaurus

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Editorial information provided by DB-Engines

Name

Description

A fully ACID in-memory object graph database

Spatial extension of SQLite

YTsaurus is an open source platform for distributed storage and processing.

Primary database model

Document store
Object oriented DBMS

Spatial DBMS

Document store
Key-value store

Secondary database models

Relational DBMS

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

Score	0.00
Rank	#383	Overall
	#53	Document stores
	#20	Object oriented DBMS

Score	1.60
Rank	#149	Overall
	#3	Spatial DBMS

Score	0.11
Rank	#340	Overall
	#45	Document stores
	#50	Key-value stores

Website

origodb.com

www.gaia-gis.it/fossil/libspatialite/index

ytsaurus.tech

Technical documentation

origodb.com/docs

www.gaia-gis.it/gaia-sins/spatialite_topics.html

ytsaurus.tech/docs/en

Developer

Robert Friberg et al

Alessandro Furieri

Yandex

Initial release

2009

under the name LiveDB

2008

2023

Current release

5.0.0, August 2020

License

Commercial or Open Source

Open Source

MPL 1.1, GPL v2.0 or LGPL v2.1

Open Source

Apache License, Version 2.0

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

C++

Server operating systems

Linux
Windows

server-less

Ubuntu

Data scheme

yes

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

YQL, an SQL-based language, is supported

APIs and other access methods

.NET Client API
HTTP API
LINQ

Supported programming languages

.Net

C++
Go
Java
JavaScript
Python

Server-side scripts

Stored procedures

yes

Triggers

yes

Domain Events

yes

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

client side managed; servers are not synchronized

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

none

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Foreign keys

Referential integrity

depending on model

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

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

Access Control Lists

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