DBMS > Apache Drill vs. YTsaurus

System Properties Comparison Apache Drill vs. YTsaurus

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Editorial information provided by DB-Engines

Name

Description

Schema-free SQL Query Engine for Hadoop, NoSQL and Cloud Storage

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

Primary database model

Document store
Relational DBMS

Document store
Key-value store

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

Score	1.74
Rank	#128	Overall
	#24	Document stores
	#60	Relational DBMS

Score	0.19
Rank	#309	Overall
	#45	Document stores
	#44	Key-value stores

Website

drill.apache.org

ytsaurus.tech

Technical documentation

drill.apache.org/docs

ytsaurus.tech/docs/en

Developer

Apache Software Foundation

Yandex

Initial release

2012

2023

Current release

1.20.3, January 2023

License

Commercial or Open Source

Open Source

Apache Version 2

Open Source

Apache License, Version 2.0

Cloud-based only

Only available as a cloud service

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Database as a Service

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Implementation language

C++

Server operating systems

Linux
OS X
Windows

Ubuntu

Data scheme

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

SQL

Support of SQL

SQL SELECT statement is SQL:2003 compliant

YQL, an SQL-based language, is supported

APIs and other access methods

JDBC
ODBC
RESTful HTTP API

Supported programming languages

C++

C++
Go
Java
JavaScript
Python

Server-side scripts

Stored procedures

user defined functions

Triggers

Partitioning methods

Methods for storing different data on different nodes

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

none

Foreign keys

Referential integrity

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

Depending on the underlying data source

yes

In-memory capabilities

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

Depending on the underlying data source

User concepts

Access control

Depending on the underlying data source

Access Control Lists

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More resources

Recent citations in the news

Apache Drill case study: A tutorial on processing CSV files
9 June 2016, TheServerSide.com

Update Apache Drill Eliminates ETL, Data Transformation for MapR Database
30 March 2022, InApps Technology

Drill Mines Diverse Data Sets, Google Style
20 May 2015, The Next Platform

Interacting with MapR-DB
11 December 2018, hackernoon.com

10 ways to query Hadoop with SQL
16 September 2014, InfoWorld

provided by Google News

Yandex Develops and Open-Sources Perforator: An Open-Source Tool that can Save Businesses Billions of Dollars a Year on Server Infrastructure
30 January 2025, MarkTechPost

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11 June 2024, AIM

provided by Google News

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