DBMS > LokiJS vs. Sequoiadb vs. StarRocks vs. Valentina Server

System Properties Comparison LokiJS vs. Sequoiadb vs. StarRocks vs. Valentina Server

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Editorial information provided by DB-Engines

Name

Description

In-memory JavaScript DBMS

NewSQL database with distributed OLTP and SQL

An open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics

Forked from Apache Doris

Object-relational database and reports server

Primary database model

Document store

Document store
Relational DBMS

Relational DBMS

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

Score	0.43
Rank	#264	Overall
	#42	Document stores

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

Score	1.04
Rank	#189	Overall
	#88	Relational DBMS

Score	0.17
Rank	#327	Overall
	#145	Relational DBMS

Website

github.com/techfort/LokiJS

www.sequoiadb.com

www.starrocks.io

www.valentina-db.net

Technical documentation

techfort.github.io/LokiJS

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

docs.starrocks.io/en-us/latest/introduction/StarRocks_intro

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

Developer

Sequoiadb Ltd.

The Linux Foundation

since Feb 2023

Paradigma Software

Initial release

2014

2013

2020

1999

Current release

2.5.3, March 2023

5.7.5

License

Commercial or Open Source

Open Source

Server: AGPL; Client: Apache V2

Open Source

Apache Version 2.0

commercial

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++

C++, Java

Server operating systems

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

Linux

Linux
OS X
Windows

Data scheme

schema-free

yes

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

via views

yes

SQL

Support of SQL

SQL-like query language

yes

APIs and other access methods

JavaScript API

proprietary protocol using JSON

JDBC
MySQL protocol

ODBC

Supported programming languages

JavaScript

.Net
C++
Java
PHP
Python

Java

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

Server-side scripts

Stored procedures

View functions in JavaScript

JavaScript

user defined functions

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

horizontal partitioning (by range and hash)

Replication methods

Methods for redundantly storing data on multiple nodes

none

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

none

Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

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

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

Role based access control and fine grained access rights

fine grained access rights according to SQL-standard

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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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