DBMS > LokiJS vs. Microsoft Azure SQL Database vs. Microsoft Azure Synapse Analytics vs. OrigoDB

System Properties Comparison LokiJS vs. Microsoft Azure SQL Database vs. Microsoft Azure Synapse Analytics vs. OrigoDB

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Editorial information provided by DB-Engines

Name

Description

In-memory JavaScript DBMS

Database as a Service offering with high compatibility to Microsoft SQL Server

Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server

A fully ACID in-memory object graph database

Primary database model

Document store

Relational DBMS

Document store
Object oriented DBMS

Secondary database models

Document store
Graph DBMS
Spatial DBMS

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

Score	0.49
Rank	#260	Overall
	#42	Document stores

Score	76.78
Rank	#16	Overall
	#11	Relational DBMS

Score	19.93
Rank	#31	Overall
	#19	Relational DBMS

Score	0.06
Rank	#380	Overall
	#50	Document stores
	#19	Object oriented DBMS

Website

github.com/techfort/LokiJS

azure.microsoft.com/en-us/products/azure-sql/database

azure.microsoft.com/services/synapse-analytics

origodb.com

Technical documentation

techfort.github.io/LokiJS

docs.microsoft.com/en-us/azure/azure-sql

docs.microsoft.com/azure/synapse-analytics

origodb.com/docs

Developer

Microsoft

Robert Friberg et al

Initial release

2014

2010

2016

2009

under the name LiveDB

Current release

V12

License

Commercial or Open Source

Open Source

commercial

Open Source

Cloud-based only

Only available as a cloud service

yes

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

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

hosted

Linux
Windows

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

yes

User defined using .NET types and collections

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

can be achieved using .NET

Secondary indexes

yes

via views

yes

SQL

Support of SQL

yes

APIs and other access methods

JavaScript API

ADO.NET
JDBC
ODBC

.NET Client API
HTTP API
LINQ

Supported programming languages

JavaScript

.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby

C#
Java
PHP

.Net

Server-side scripts

Stored procedures

View functions in JavaScript

Transact SQL

yes

Triggers

yes

Domain Events

Partitioning methods

Methods for storing different data on different nodes

none

Sharding, horizontal partitioning

horizontal partitioning

client side managed; servers are not synchronized

Replication methods

Methods for redundantly storing data on multiple nodes

none

yes, with always 3 replicas available

yes

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

Immediate Consistency

Foreign keys

Referential integrity

yes

docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/sql-data-warehouse-table-constraints

depending on model

Transaction concepts

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

atomic operations within a single collection possible

ACID

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

Write ahead log

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

fine grained access rights according to SQL-standard

yes

Role based authorization

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More resources

DB-Engines blog posts

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18 November 2014, iProgrammer

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