DBMS > AlaSQL vs. Lovefield vs. Microsoft Azure AI Search vs. RDFox

System Properties Comparison AlaSQL vs. Lovefield vs. Microsoft Azure AI Search vs. RDFox

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Editorial information provided by DB-Engines

Name

Description

JavaScript DBMS library

Embeddable relational database for web apps written in pure JavaScript

Search-as-a-service for web and mobile app development

High performance knowledge graph and semantic reasoning engine

Primary database model

Document store
Relational DBMS

Relational DBMS

Search engine

Graph DBMS
RDF store

Secondary database models

Vector DBMS

Relational DBMS

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

Score	0.49
Rank	#259	Overall
	#40	Document stores
	#120	Relational DBMS

Score	0.32
Rank	#290	Overall
	#132	Relational DBMS

Score	5.71
Rank	#64	Overall
	#8	Search engines

Score	0.24
Rank	#309	Overall
	#25	Graph DBMS
	#14	RDF stores

Website

alasql.org

google.github.io/lovefield

azure.microsoft.com/en-us/services/search

www.oxfordsemantic.tech

Technical documentation

github.com/AlaSQL/alasql

github.com/google/lovefield/blob/master/docs/spec_index.md

learn.microsoft.com/en-us/azure/search

docs.oxfordsemantic.tech

Developer

Andrey Gershun & Mathias R. Wulff

Google

Microsoft

Oxford Semantic Technologies

Initial release

2014

2015

2017

Current release

2.1.12, February 2017

6.0, Septermber 2022

License

Commercial or Open Source

Open Source

MIT-License

Open Source

Apache 2.0

commercial

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)

tested with Chrome, Firefox, IE, Safari

hosted

Linux
macOS
Windows

Data scheme

schema-free

yes

RDF schemas

Typing

predefined data types such as float or date

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

SQL

Support of SQL

Close to SQL99, but no user access control, stored procedures and host language bindings.

SQL-like query language

via JavaScript builder pattern

APIs and other access methods

JavaScript API

RESTful HTTP API

RESTful HTTP API
SPARQL 1.1

Supported programming languages

JavaScript

C#
Java
JavaScript
Python

C
Java

Server-side scripts

Stored procedures

Triggers

yes

Using read-only observers

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Implicit feature of the cloud service

Replication methods

Methods for redundantly storing data on multiple nodes

none

yes

Implicit feature of the cloud service

replication via a shared file system

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

none

Immediate Consistency

Immediate Consistency in stand-alone mode, Eventual Consistency in replicated setups

Foreign keys

Referential integrity

yes

Transaction concepts

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

yes

only for local storage and DOM-storage

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

by using IndexedDB, SQL.JS or proprietary FileStorage

yes, by using IndexedDB or the cloud service Firebase Realtime Database

yes

In-memory capabilities

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

yes

using MemoryDB

yes

User concepts

Access control

yes

using Azure authentication

Roles, resources, and access types

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