DBMS > OrigoDB vs. Warp 10 vs. YTsaurus

System Properties Comparison OrigoDB vs. Warp 10 vs. YTsaurus

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Editorial information provided by DB-Engines

Name

Description

A fully ACID in-memory object graph database

TimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase

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

Primary database model

Document store
Object oriented DBMS

Time Series DBMS

Document store
Key-value store

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

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

Score	0.08
Rank	#344	Overall
	#31	Time Series DBMS

Score	0.17
Rank	#314	Overall
	#46	Document stores
	#44	Key-value stores

Website

origodb.com

www.warp10.io

ytsaurus.tech

Technical documentation

origodb.com/docs

www.warp10.io/content/02_Getting_started

ytsaurus.tech/docs/en

Developer

Robert Friberg et al

SenX

Yandex

Initial release

2009

under the name LiveDB

2015

2023

License

Commercial or Open Source

Open Source

Apache License 2.0

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

Java

C++

Server operating systems

Linux
Windows

Linux
OS X
Windows

Ubuntu

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

YQL, an SQL-based language, is supported

APIs and other access methods

.NET Client API
HTTP API
LINQ

HTTP API
Jupyter
WebSocket

Supported programming languages

.Net

C++
Go
Java
JavaScript
Python

Server-side scripts

Stored procedures

yes

WarpScript

Triggers

yes

Domain Events

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

client side managed; servers are not synchronized

Sharding

based on HBase

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

selectable replication factor

based on HBase

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

based on HBase

Foreign keys

Referential integrity

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

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

Mandatory use of cryptographic tokens, containing fine-grained authorizations

Access Control Lists

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