DBMS > AlaSQL vs. MongoDB vs. SAP SQL Anywhere

System Properties Comparison AlaSQL vs. MongoDB vs. SAP SQL Anywhere

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Editorial information provided by DB-Engines

Name

Description

JavaScript DBMS library

One of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure

RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments

Primary database model

Document store
Relational DBMS

Document store

Relational DBMS

Secondary database models

Search engine info

integrated Lucene index, currently in MongoDB Atlas only.

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

Score	0.51
Rank	#210	Overall
	#31	Document stores
	#103	Relational DBMS

Score	437.08
Rank	#5	Overall
	#1	Document stores

Score	6.33
Rank	#54	Overall
	#31	Relational DBMS

Website

alasql.org

www.mongodb.com

www.sap.com/products/sql-anywhere.html

Technical documentation

github.com/agershun/alasql

docs.mongodb.com/manual

help.sap.com/sql-anywhere

Developer

Andrey Gershun & Mathias R. Wulff

MongoDB, Inc

SAP

formerly Sybase

Initial release

2014

2009

1992

Current release

4.2.7, May 2020

17, July 2015

License

Commercial or Open Source

Open Source info

MIT-License

Open Source info

MongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.

commercial

Cloud-based only info

Only available as a cloud service

MongoDB available as DBaaS (MongoDB Atlas)

DBaaS offerings (sponsored links) info

Database as a Service

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

MongoDB Atlas: Deploy a fully managed cloud database on-demand and ready for use in minutes. Available on AWS, Azure, and GCP.

Implementation language

JavaScript

C++

Server operating systems

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

Linux
OS X
Solaris
Windows

AIX
HP-UX
Linux
OS X
Solaris
Windows

Data scheme

schema-free

schema-free info

Although schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.

yes

Typing

predefined data types such as float or date

yes

string, integer, double, decimal, boolean, date, object_id, geospatial

yes

XML support info

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.

Read-only SQL queries via the MongoDB Connector for BI

yes

APIs and other access methods

JavaScript API

proprietary protocol using JSON

ADO.NET
HTTP API
JDBC
ODBC

Supported programming languages

JavaScript

Actionscript info

inofficial driver
C
C#
C++
Clojure info

inofficial driver
ColdFusion info

inofficial driver
D info

inofficial driver
Dart info

inofficial driver
Delphi info

inofficial driver
Erlang
Go
Groovy info

inofficial driver
Haskell
Java
JavaScript
Lisp info

inofficial driver
Lua info

inofficial driver
MatLab info

inofficial driver
Perl
PHP
PowerShell info

inofficial driver
Prolog info

inofficial driver
Python
R info

inofficial driver
Ruby
Scala
Smalltalk info

inofficial driver

C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby

Server-side scripts info

Stored procedures

JavaScript

yes, in C/C++, Java, .Net or Perl

Triggers

yes

in MongoDB Atlas only

yes

Partitioning methods info

Methods for storing different data on different nodes

none

Sharding

partitioned by hashed, ranged, or zoned sharding keys

none

Replication methods info

Methods for redundantly storing data on multiple nodes

none

Master-slave replication

Master-slave replication info

Database mirroring

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts info

Methods to ensure consistency in a distributed system

none

Eventual Consistency
Immediate Consistency info

can be individually decided for each write operation

Immediate Consistency

Foreign keys info

Referential integrity

yes

typically not used, however similar functionality with DBRef possible

yes

Transaction concepts info

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

yes

only for local storage and DOM-storage

Multi-document ACID Transactions with snapshot isolation

ACID

Concurrency info

Support for concurrent manipulation of data

yes

Durability info

Support for making data persistent

yes

by using IndexedDB, SQL.JS or proprietary FileStorage

yes

optional

yes

In-memory capabilities info

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

yes

In-memory storage engine introduced with MongoDB version 3.2

yes

User concepts info

Access control

Access rights for users and roles

fine grained access rights according to SQL-standard

More information provided by the system vendor

Specific characteristics

MongoDB is the leading modern, general purpose data platform, designed to unleash...
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Competitive advantages

The MongoDB Data Platform can be used by developers building OLTP and analytical...
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Typical application scenarios

Internet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
» more

Key customers

ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more

Market metrics

70 million downloads (growing at more than 30 thousand downloads per day). 15,000+...
» more

Licensing and pricing models

MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.