DBMS > InterSystems Caché vs. LokiJS vs. Sequoiadb vs. Yanza

System Properties Comparison InterSystems Caché vs. LokiJS vs. Sequoiadb vs. Yanza

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Editorial information provided by DB-Engines

Name

Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.

Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.

Description

A multi-model DBMS and application server

In-memory JavaScript DBMS

NewSQL database with distributed OLTP and SQL

Time Series DBMS for IoT Applications

Primary database model

Key-value store
Object oriented DBMS
Relational DBMS

Document store

Document store
Relational DBMS

Time Series DBMS

Secondary database models

Document store

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

Score	0.49
Rank	#260	Overall
	#42	Document stores

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

Website

www.intersystems.com/products/cache

github.com/techfort/LokiJS

www.sequoiadb.com

yanza.com

Technical documentation

docs.intersystems.com

techfort.github.io/LokiJS

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

Developer

InterSystems

Sequoiadb Ltd.

Yanza

Initial release

1997

2014

2013

2015

Current release

2018.1.4, May 2020

License

Commercial or Open Source

commercial

Open Source

Server: AGPL; Client: Apache V2

commercial

free version available

Cloud-based only

Only available as a cloud service

but mainly used as a service provided by Yanza

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

JavaScript

C++

Server operating systems

AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows

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

Linux

Windows

Data scheme

depending on used data model

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.

yes

Secondary indexes

yes

via views

yes

SQL

Support of SQL

yes

SQL-like query language

APIs and other access methods

.NET Client API
JDBC
ODBC
RESTful HTTP API

JavaScript API

proprietary protocol using JSON

HTTP API

Supported programming languages

C#
C++
Java

JavaScript

.Net
C++
Java
PHP
Python

any language that supports HTTP calls

Server-side scripts

Stored procedures

yes

View functions in JavaScript

JavaScript

Triggers

yes

Timer and event based

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

none

Source-replica replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

none

Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

atomic operations within a single collection possible

Document is locked during a transaction

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

Access rights for users, groups and roles

simple password-based access control

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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

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