DBMS > FaunaDB vs. Microsoft SQL Server vs. mSQL vs. STSdb

System Properties Comparison FaunaDB vs. Microsoft SQL Server vs. mSQL vs. STSdb

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Editorial information provided by DB-Engines

Name

Description

FaunaDB provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.

Microsofts relational DBMS

mSQL (Mini SQL) is a simple and lightweight RDBMS

Key-Value Store with special method for indexing

optimized for high performance using a special indexing method

Primary database model

Document store
Graph DBMS
Relational DBMS
Time Series DBMS

Relational DBMS

Key-value store

Secondary database models

Document store
Graph DBMS

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

Score	1.91
Rank	#127	Overall
	#21	Document stores
	#9	Graph DBMS
	#64	Relational DBMS
	#9	Time Series DBMS

Score	1031.23
Rank	#3	Overall
	#3	Relational DBMS

Score	1.75
Rank	#130	Overall
	#66	Relational DBMS

Score	0.14
Rank	#290	Overall
	#45	Key-value stores

Website

fauna.com

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

hughestech.com.au/products/msql

github.com/STSSoft/STSdb4

Technical documentation

docs.fauna.com

docs.microsoft.com/en-US/sql/sql-server

Developer

Fauna, Inc.

Microsoft

Hughes Technologies

STS Soft SC

Initial release

2014

1989

1994

2011

Current release

SQL Server 2019, November 2019

4.2, April 2019

4.0.8, September 2015

License

Commercial or Open Source

commercial

restricted free version is available

commercial

free licenses can be provided

Open Source

GPLv2, commercial license available

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

Scala

C++

Server operating systems

hosted

Linux
Windows

AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows

Windows

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

yes

primitive types and user defined types (classes)

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

yes

A subset of ANSI SQL is implemented

no subqueries, aggregate functions, views, foreign keys, triggers

APIs and other access methods

RESTful HTTP API

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

JDBC
ODBC

.NET Client API

Supported programming languages

C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift

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

C
C++
Delphi
Java
Perl
PHP
Tcl

C#
Java

Server-side scripts

Stored procedures

user defined functions

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

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

consistent hashing

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

none

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

yes, but depending on the SQL-Server Edition

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

none

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

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

Identity management, authentication, and access control

fine grained access rights according to SQL-standard

More information provided by the system vendor

Specific characteristics

Flexible query model that combines GraphQL with custom business logic Effortlessly...
» more

Competitive advantages

Native GraphQL support with automatic mutations for easy on-ramp Native GraphQL,...
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Typical application scenarios

Javascript apps Serverless backends for microservices Cloud-native apps B2B and B2C...
» more

Key customers

ShiftX
» more

Licensing and pricing models

Usage-based pricing including a free tier
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