DBMS > LokiJS vs. ReductStore vs. Sequoiadb vs. YottaDB

System Properties Comparison LokiJS vs. ReductStore vs. Sequoiadb vs. YottaDB

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Editorial information provided by DB-Engines

Name

Description

In-memory JavaScript DBMS

Designed to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.

NewSQL database with distributed OLTP and SQL

A fast and solid embedded Key-value store

Primary database model

Document store

Time Series DBMS

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	0.49
Rank	#260	Overall
	#42	Document stores

Score	0.05
Rank	#384	Overall
	#44	Time Series DBMS

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

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

Website

github.com/techfort/LokiJS

github.com/reductstore
www.reduct.store

www.sequoiadb.com

yottadb.com

Technical documentation

techfort.github.io/LokiJS

www.reduct.store/docs

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

yottadb.com/resources/documentation

Developer

ReductStore LLC

Sequoiadb Ltd.

YottaDB, LLC

Initial release

2014

2023

2013

2001

Current release

1.9, March 2024

License

Commercial or Open Source

Open Source

Business Source License 1.1

Open Source

Server: AGPL; Client: Apache V2

Open Source

AGPL 3.0

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

JavaScript

C++, Rust

C++

Server operating systems

server-less, requires a JavaScript environment (browser, Node.js)

Docker
Linux
macOS
Windows

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

via views

yes

SQL

Support of SQL

SQL-like query language

by using the Octo plugin

APIs and other access methods

JavaScript API

HTTP API

proprietary protocol using JSON

PostgreSQL wire protocol

using the Octo plugin
Proprietary protocol

Supported programming languages

JavaScript

C++
JavaScript (Node.js)
Python
Rust

.Net
C++
Java
PHP
Python

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

Server-side scripts

Stored procedures

View functions in JavaScript

JavaScript

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

none

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

none

Eventual Consistency

Foreign keys

Referential integrity

Transaction concepts

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

atomic operations within a single collection possible

Document is locked during a transaction

optimistic locking

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

Serialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.

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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More resources

DB-Engines blog posts

New kids on the block: database management systems implemented in JavaScript
1 December 2014, Matthias Gelbmann