DBMS > Valentina Server vs. Yandex Database (YDB)

System Properties Comparison Valentina Server vs. Yandex Database (YDB)

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Our visitors often compare Valentina Server and Yandex Database (YDB) with Microsoft SQL Server, PostgreSQL and MySQL.

Editorial information provided by DB-Engines

Name

Description

Object-relational database and reports server

A distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API

Primary database model

Relational DBMS

Document store
Relational DBMS

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

Score	0.18
Rank	#290	Overall
	#135	Relational DBMS

Score	0.51
Rank	#240	Overall
	#38	Document stores
	#115	Relational DBMS

Website

www.valentina-db.net

cloud.yandex.com/en/services/ydb
github.com/ydb-platform/ydb
ydb.tech

Technical documentation

valentina-db.com/docs/dokuwiki/v5/doku.php

cloud.yandex.com/en/docs/ydb
ydb.tech/en/docs

Developer

Paradigma Software

Yandex

Initial release

1999

2019

Current release

5.7.5

License

Commercial or Open Source

commercial

Open Source

Apache 2.0; commercial license available

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.

Server operating systems

Linux
OS X
Windows

Linux

Data scheme

yes

Flexible Schema (defined schema, partial schema, schema free)

Typing

predefined data types such as float or date

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

SQL-like query language (YQL)

APIs and other access methods

ODBC

RESTful HTTP API (DynamoDB compatible)

Supported programming languages

.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET

Go
Java
JavaScript (Node.js)
PHP
Python

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Active-passive shard replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

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

In-memory capabilities

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

yes

User concepts

Access control

fine grained access rights according to SQL-standard

Access rights defined for Yandex Cloud users

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More resources

Recent citations in the news

A Look at Valentina
18 April 2014, SitePoint

provided by Google News

Data leak from Russian delivery app shows dining habits of the secret police
3 April 2022, The Verge

provided by Google News

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