DBMS > Apache Drill vs. Realm vs. Valentina Server vs. YTsaurus

System Properties Comparison Apache Drill vs. Realm vs. Valentina Server 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

A DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data

Object-relational database and reports server

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

Primary database model

Document store
Relational DBMS

Document store

Relational DBMS

Document store
Key-value store

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

Score	1.90
Rank	#126	Overall
	#23	Document stores
	#60	Relational DBMS

Score	7.18
Rank	#52	Overall
	#8	Document stores

Score	0.18
Rank	#313	Overall
	#140	Relational DBMS

Score	0.15
Rank	#323	Overall
	#44	Document stores
	#47	Key-value stores

Website

Technical documentation

drill.apache.org/docs

realm.io/docs

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

ytsaurus.tech/docs/en

Developer

Apache Software Foundation

Realm, acquired by MongoDB in May 2019

Paradigma Software

Yandex

Initial release

2012

2014

1999

2023

Current release

1.20.3, January 2023

5.7.5

License

Commercial or Open Source

Open Source

Apache Version 2

Open Source

commercial

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
OS X
Windows

Android
Backend: server-less
iOS
Windows

Linux
OS X
Windows

Ubuntu

Data scheme

schema-free

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

SQL SELECT statement is SQL:2003 compliant

yes

YQL, an SQL-based language, is supported

APIs and other access methods

JDBC
ODBC
RESTful HTTP API

ODBC

Supported programming languages

C++

.Net
Java

with Android only
Objective-C
React Native
Swift

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

C++
Go
Java
JavaScript
Python

Server-side scripts

Stored procedures

user defined functions

runs within the applications so server-side scripts are unnecessary

yes

Triggers

yes

Change Listeners

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

none

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

none

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

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

yes

In-Memory realm

yes

User concepts

Access control

Depending on the underlying data source

yes

fine grained access rights according to SQL-standard

Access Control Lists

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More resources

DB-Engines blog posts

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Recent citations in the news

Apache Drill case study: A tutorial on processing CSV files
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Apache Drill Eliminates ETL, Data Transformation for MapR Database
11 April 2016, The New Stack

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