DBMS > Microsoft SQL Server vs. MongoDB

System Properties Comparison Microsoft SQL Server vs. MongoDB

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Our visitors often compare Microsoft SQL Server and MongoDB with MySQL, PostgreSQL and MariaDB.

Editorial information provided by DB-Engines

Name

Description

Microsofts relational DBMS

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

Primary database model

Relational DBMS

Document store

Secondary database models

Document store
Graph DBMS

Search engine info

integrated Lucene index, currently in MongoDB Atlas only.

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

Score	1062.76
Rank	#3	Overall
	#3	Relational DBMS

Score	446.48
Rank	#5	Overall
	#1	Document stores

Website

www.microsoft.com/en-us/sql-server

www.mongodb.com

Technical documentation

docs.microsoft.com/en-ie/sql/sql-server/sql-server-technical-documentation

docs.mongodb.com/manual

Developer

Microsoft

MongoDB, Inc

Initial release

1989

2009

Current release

SQL Server 2019, November 2019

4.4.1, September 2020

License

Commercial or Open Source

commercial info

restricted free version is available

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.

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.

ScaleGrid for MongoDB: Fully managed hosting for MongoDB database on AWS, Azure and DigitalOcean with high availability and SSH access on the #1 multi-cloud DBaaS.
MongoDB Atlas: the global and fully-managed cloud database service from the makers of MongoDB. Deploy across AWS, Azure, or GCP.

Implementation language

C++

Server operating systems

Linux
Windows

Linux
OS X
Solaris
Windows

Data scheme

yes

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.

Typing

predefined data types such as float or date

yes

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

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

yes

Read-only SQL queries via the MongoDB Connector for BI

APIs and other access methods

ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)

proprietary protocol using JSON

Supported programming languages

C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic

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
Rust
Scala
Smalltalk info

inofficial driver
Swift

Server-side scripts info

Stored procedures

Transact SQL, .NET languages, R, Python and (with SQL Server 2019) Java

JavaScript

Triggers

yes

in MongoDB Atlas only

Partitioning methods info

Methods for storing different data on different nodes

tables can be distributed across several files (horizontal partitioning); sharding through federation

Sharding

partitioned by hashed, ranged, or zoned sharding keys

Replication methods info

Methods for redundantly storing data on multiple nodes

yes, but depending on the SQL-Server Edition

Multi-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts info

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency
Immediate Consistency info

can be individually decided for each write operation

Foreign keys info

Referential integrity

yes

typically not used, however similar functionality with DBRef possible

Transaction concepts info

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

ACID

Multi-document ACID Transactions with snapshot isolation

Concurrency info

Support for concurrent manipulation of data

yes

Durability info

Support for making data persistent

yes

optional

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

User concepts info

Access control

fine grained access rights according to SQL-standard

Access rights for users and roles

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 platform can be used by developers building transactional, operational,...
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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,...
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Market metrics

125 million downloads (growing at more than 30 thousand downloads per day), over...
» more

Licensing and pricing models

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

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