DBMS > Microsoft SQL Server vs. PostgreSQL vs. TempoIQ vs. VelocityDB

System Properties Comparison Microsoft SQL Server vs. PostgreSQL vs. TempoIQ vs. VelocityDB

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Editorial information provided by DB-Engines

Name

TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.

Description

Microsofts relational DBMS

Widely used open source RDBMS

Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL

Scalable analytics DBMS for sensor data, provided as a service (SaaS)

A .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)

Primary database model

Relational DBMS

with object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.

Time Series DBMS

Graph DBMS
Object oriented DBMS

Secondary database models

Document store
Graph DBMS

Document store

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

Score	1031.23
Rank	#3	Overall
	#3	Relational DBMS

Score	552.23
Rank	#4	Overall
	#4	Relational DBMS

Score	0.08
Rank	#302	Overall
	#28	Graph DBMS
	#17	Object oriented DBMS

Website

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

www.postgresql.org

tempoiq.com (offline)

velocitydb.com

Technical documentation

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

www.postgresql.org/docs

velocitydb.com/UserGuide

Developer

Microsoft

PostgreSQL Global Development Group

www.postgresql.org/developer

TempoIQ

VelocityDB Inc

Initial release

1989

1989: Postgres, 1996: PostgreSQL

2012

2011

Current release

SQL Server 2019, November 2019

13.1, November 2020

7.x

License

Commercial or Open Source

commercial

restricted free version is available

Open Source

BSD

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.

ScaleGrid for PostgreSQL: Fully managed PostgreSQL hosting on AWS, Azure and DigitalOcean with high availability and SSH access on the #1 multi-cloud DBaaS.

Implementation language

C++

Server operating systems

Linux
Windows

FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows

Any that supports .NET

Data scheme

yes

schema-free

yes

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.

yes

specific XML-type available, but no XML query functionality.

Secondary indexes

yes

SQL

Support of SQL

yes

standard with numerous extensions

APIs and other access methods

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

ADO.NET
JDBC
native C library
ODBC
streaming API for large objects

HTTP API

.Net

Supported programming languages

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

.Net
C
C++
Delphi
Java

JDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl

C#
Java
JavaScript

Node.js
Python
Ruby

.Net

Server-side scripts

Stored procedures

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

user defined functions

realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.

Triggers

yes

Realtime Alerts

Callbacks are triggered when data changes

Partitioning methods

Methods for storing different data on different nodes

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

partitioning by range, list and (since PostgreSQL 11) by hash

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes, but depending on the SQL-Server Edition

Source-replica replication

other methods possible by using 3rd party extensions

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

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

fine grained access rights according to SQL-standard

simple authentication-based access control

Based on Windows Authentication

More information provided by the system vendor

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Related products and services

3rd parties

DBHawk: Secure access to SQL, NoSQL and Cloud databases with an all-in-one solution.
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Navicat Monitor is a safe, simple and agentless remote server monitoring tool for SQL Server and many other database management systems.
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Navicat for SQL Server gives you a fully graphical approach to database management and development.
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General SQL Parser: Instantly adding parsing, decoding, analysis and rewrite SQL processing capability to your products.
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ClusterControl: the only management system you’ll ever need to take control of your open source database infrastructure.
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EDB: Helping organizations get the most from PostgreSQL, Oracle Migration, High Availability, Security
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Navicat for PostgreSQL is an easy-to-use graphical tool for PostgreSQL database development.
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CYBERTEC is your professional partner for PostgreSQL services and Data Science since 2000. With offices in Austria, Uruguay, Estonia, Poland, South Africa and Switzerland, CYBERTEC operates worldwide and is here for you 24/7!
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General SQL Parser: Instantly adding parsing, decoding, analysis and rewrite SQL processing capability to your products.
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pgDash: In-Depth PostgreSQL Monitoring.
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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

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