DBMS > Microsoft Azure Synapse Analytics vs. YTsaurus

System Properties Comparison Microsoft Azure Synapse Analytics vs. YTsaurus

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Our visitors often compare Microsoft Azure Synapse Analytics and YTsaurus with Databricks, Trino and MongoDB.

Editorial information provided by DB-Engines

Name

Description

Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server

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

Primary database model

Relational DBMS

Document store
Key-value store

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

Score	19.84
Rank	#31	Overall
	#19	Relational DBMS

Score	0.13
Rank	#334	Overall
	#45	Document stores
	#49	Key-value stores

Website

azure.microsoft.com/services/synapse-analytics

ytsaurus.tech

Technical documentation

docs.microsoft.com/azure/synapse-analytics

ytsaurus.tech/docs/en

Developer

Microsoft

Yandex

Initial release

2016

2023

License

Commercial or Open Source

commercial

Open Source

Apache License, Version 2.0

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

C++

Server operating systems

hosted

Ubuntu

Data scheme

yes

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

YQL, an SQL-based language, is supported

APIs and other access methods

ADO.NET
JDBC
ODBC

Supported programming languages

C#
Java
PHP

C++
Go
Java
JavaScript
Python

Server-side scripts

Stored procedures

Transact SQL

Triggers

Partitioning methods

Methods for storing different data on different nodes

Sharding, horizontal partitioning

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/sql-data-warehouse-table-constraints

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

User concepts

Access control

yes

Access Control Lists

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More resources

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