DBMS > AlaSQL vs. Amazon DocumentDB vs. Faircom EDGE vs. H2

System Properties Comparison AlaSQL vs. Amazon DocumentDB vs. Faircom EDGE vs. H2

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Editorial information provided by DB-Engines

Name

Description

JavaScript DBMS library

Fast, scalable, highly available, and fully managed MongoDB-compatible database service

FairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environments

Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.

Primary database model

Document store
Relational DBMS

Document store

Key-value store
Relational DBMS

Relational DBMS

Secondary database models

Spatial DBMS

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

Score	0.55
Rank	#230	Overall
	#35	Document stores
	#111	Relational DBMS

Score	1.80
Rank	#132	Overall
	#23	Document stores

Score	0.13
Rank	#304	Overall
	#44	Key-value stores
	#139	Relational DBMS

Score	9.83
Rank	#51	Overall
	#31	Relational DBMS

Website

alasql.org

aws.amazon.com/documentdb

www.faircom.com/products/faircomedge-iot-database

www.h2database.com

Technical documentation

github.com/agershun/alasql

aws.amazon.com/documentdb/resources

learn.faircomcorp.com/developers/documentation_directory

www.h2database.com/html/main.html

Developer

Andrey Gershun & Mathias R. Wulff

FairCom Corporation

Thomas Mueller

Initial release

2014

2019

1979

2005

Current release

V3, October 2020

2.1.210, January 2022

License

Commercial or Open Source

Open Source

MIT-License

commercial

Restricted, free version available

Open Source

dual-licence (Mozilla public license, Eclipse public license)

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

ANSI C, C++

Java

Server operating systems

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

hosted

Android
Linux

ARM, x86
Raspbian
Windows

All OS with a Java VM

Data scheme

schema-free

Flexible Schema (defined schema, partial schema, schema free)

yes

Typing

predefined data types such as float or date

yes

yes, ANSI Standard SQL Types

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.

yes

Secondary indexes

yes

SQL

Support of SQL

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

yes

ANSI SQL queries

yes

APIs and other access methods

JavaScript API

proprietary protocol using JSON (MongoDB compatible)

ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API

JDBC
ODBC

Supported programming languages

JavaScript

Go
Java
JavaScript (Node.js)
PHP
Python

C
C#
C++
Java
JavaScript
PHP
Python
VB.Net

Java

Server-side scripts

Stored procedures

yes

.Net, JavaScript, C/C++

Java Stored Procedures and User-Defined Functions

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

File partitioning

Customizable business rules for partitioning

none

Replication methods

Methods for redundantly storing data on multiple nodes

none

Multi-availability zones for high availability, asynchronous replication for up to 15 read replicas

yes

Synchronous and asynchronous realtime replication based on transaction logs

With clustering: 2 database servers on different computers operate on identical copies of a database

MapReduce

Offers an API for user-defined Map/Reduce methods

may be implemented via Amazon Elastic MapReduce (Amazon EMR)

Consistency concepts

Methods to ensure consistency in a distributed system

none

Immediate Consistency

Immediate Consistency
Tunable Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

typically not used, however similar functionality with DBRef possible

yes

when using SQL

yes

Transaction concepts

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

yes

only for local storage and DOM-storage

Atomic single-document operations

ACID

Concurrency

Support for concurrent manipulation of data

yes

across SQL and NoSQL

yes, multi-version concurrency control (MVCC)

Durability

Support for making data persistent

yes

by using IndexedDB, SQL.JS or proprietary FileStorage

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 and roles

Fine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.

fine grained access rights according to SQL-standard

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More resources

Recent citations in the news

Meet AlaSQL, a speedy SQL database for JavaScript
15 January 2019, JAXenter

provided by Google News

AWS DocumentDB not MongoDB-compatible, says MongoDB Inc
6 December 2021, The Register

AWS, MongoDB database collision stirs open source tensions
11 January 2019, TechTarget

Amazon DocumentDB adds Global Clusters
2 June 2021, ZDNet

Introduction to Amazon DocumentDB With MongoDB Compatibility
19 October 2020, AiThority

Building modern applications with a JSON document database: An introduction to Amazon DocumentDB with MongoDB compatibility
12 April 2022, Database Trends and Applications

provided by Google News

FairCom Lives 2021 on the 'Edge' with IoT Data Management Solution
20 December 2021, Automation.com

Trend-Setting Products in Data and Information Management for 2022
8 December 2021, Database Trends and Applications

FairCom to feature c-treeEDGE IoT Database at Gartner Catalyst Conference
18 September 2018, PR Newswire UK

World's First Converged IIoT Hub to be Showcased at IoT Tech Expo
3 September 2021, Automation.com

provided by Google News

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