DBMS > Sequoiadb vs. SwayDB vs. YottaDB

System Properties Comparison Sequoiadb vs. SwayDB vs. YottaDB

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Editorial information provided by DB-Engines

Name

Description

NewSQL database with distributed OLTP and SQL

An embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage

A fast and solid embedded Key-value store

Primary database model

Document store
Relational DBMS

Key-value store

Secondary database models

Relational DBMS

using the Octo plugin

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

Score	0.50
Rank	#258	Overall
	#41	Document stores
	#120	Relational DBMS

Score	0.04
Rank	#387	Overall
	#61	Key-value stores

Score	0.28
Rank	#306	Overall
	#44	Key-value stores

Website

www.sequoiadb.com

swaydb.simer.au

yottadb.com

Technical documentation

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

yottadb.com/resources/documentation

Developer

Sequoiadb Ltd.

Simer Plaha

YottaDB, LLC

Initial release

2013

2018

2001

License

Commercial or Open Source

Open Source

Server: AGPL; Client: Apache V2

Open Source

GNU Affero GPL V3.0

Open Source

AGPL 3.0

Cloud-based only

Only available as a cloud service

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Database as a Service

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Implementation language

C++

Scala

Server operating systems

Linux

Docker
Linux

Data scheme

schema-free

Typing

predefined data types such as float or date

yes

oid, date, timestamp, binary, regex

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-like query language

by using the Octo plugin

APIs and other access methods

proprietary protocol using JSON

PostgreSQL wire protocol

using the Octo plugin
Proprietary protocol

Supported programming languages

.Net
C++
Java
PHP
Python

Java
Kotlin
Scala

C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust

Server-side scripts

Stored procedures

JavaScript

Triggers

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

none

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

Transaction concepts

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

Document is locked during a transaction

Atomic execution of operations

optimistic locking

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

simple password-based access control

Users and groups based on OS-security mechanisms

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