DBMS > JaguarDB vs. MaxDB vs. Sequoiadb vs. YTsaurus

System Properties Comparison JaguarDB vs. MaxDB vs. Sequoiadb vs. YTsaurus

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Editorial information provided by DB-Engines

Name

Description

Performant, highly scalable DBMS for AI and IoT applications

A robust and reliable RDBMS optimized to run all major SAP solutions

NewSQL database with distributed OLTP and SQL

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

Primary database model

Key-value store
Vector DBMS

Relational DBMS

Document store
Relational DBMS

Document store
Key-value store

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

Score	0.00
Rank	#383	Overall
	#60	Key-value stores
	#13	Vector DBMS

Score	2.32
Rank	#112	Overall
	#55	Relational DBMS

Score	0.45
Rank	#261	Overall
	#41	Document stores
	#122	Relational DBMS

Score	0.11
Rank	#340	Overall
	#45	Document stores
	#50	Key-value stores

Website

Technical documentation

www.jaguardb.com/support.html

maxdb.sap.com/documentation

www.sequoiadb.com/en/index.php?m=Files&a=index

ytsaurus.tech/docs/en

Developer

DataJaguar, Inc.

SAP, acquired from Software AG (Adabas-D) in 1997

Sequoiadb Ltd.

Yandex

Initial release

2015

1984

2013

2023

Current release

3.3 July 2023

7.9.10.12, February 2024

License

Commercial or Open Source

Open Source

GPL V3.0

commercial

Limited community edition free

Open Source

Server: AGPL; Client: Apache V2

Open Source

Apache License, Version 2.0

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.

Implementation language

C++

the server part. Clients available in other languages

C++

Server operating systems

Linux

AIX
HP-UX
Linux
Solaris
Windows

Linux

Ubuntu

Data scheme

yes

schema-free

Typing

predefined data types such as float or date

yes

oid, date, timestamp, binary, regex

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

A subset of ANSI SQL is implemented

but no views, foreign keys, triggers

yes

SQL-like query language

YQL, an SQL-based language, is supported

APIs and other access methods

JDBC
ODBC

ADO.NET
JDBC
ODBC
WebDAV

proprietary protocol using JSON

Supported programming languages

C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala

.Net
C#
Java
Perl
PHP
Python

.Net
C++
Java
PHP
Python

C++
Go
Java
JavaScript
Python

Server-side scripts

Stored procedures

yes

JavaScript

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

Source-replica replication

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Immediate Consistency

Eventual Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

Document is locked during a transaction

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.

User concepts

Access control

rights management via user accounts

fine grained access rights according to SQL-standard

simple password-based access control

Access Control Lists

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