DBMS > Faircom DB vs. PostGIS vs. SAP IQ

System Properties Comparison Faircom DB vs. PostGIS vs. SAP IQ

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

Native high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.

Spatial extension of PostgreSQL

Columnar RDBMS optimized for Big Data analytics

Primary database model

Key-value store
Relational DBMS

Spatial DBMS

Relational DBMS

column-oriented

Secondary database models

Relational DBMS

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

Score	0.22
Rank	#304	Overall
	#44	Key-value stores
	#137	Relational DBMS

Score	18.94
Rank	#30	Overall
	#1	Spatial DBMS

Score	2.35
Rank	#103	Overall
	#52	Relational DBMS

Website

www.faircom.com/products/faircom-db

postgis.net

www.sap.com/products/technology-platform/sybase-iq-big-data-management.html

Technical documentation

docs.faircom.com/docs/en/UUID-7446ae34-a1a7-c843-c894-d5322e395184.html

postgis.net/documentation

help.sap.com/docs/SAP_IQ

Developer

FairCom Corporation

SAP, formerly Sybase

Initial release

1979

2005

1994

Current release

V13, July 2024

3.4.2, February 2024

16.1 SPS04, April 2019

License

Commercial or Open Source

commercial

Restricted, free version available

Open Source

GPL v2.0

commercial

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

ANSI C, C++

Server operating systems

AIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows

easily portable to other OSs

AIX
HP-UX
Linux
Solaris
Windows

Data scheme

schema free, schema optional, schema required, partial schema,

yes

Typing

predefined data types such as float or date

yes, ANSI SQL Types, JSON, typed binary structures

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

yes, ANSI SQL with proprietary extensions

yes

APIs and other access methods

ADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC

ADO.NET
JDBC
ODBC
RESTful HTTP API

Supported programming languages

.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic

C
C#
C++
Java
Perl
PHP
Python
Ruby

Server-side scripts

Stored procedures

yes

.Net, JavaScript, C/C++

user defined functions

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

File partitioning, horizontal partitioning, sharding

Customizable business rules for table partitioning

yes

based on PostgreSQL

shared disk or shared nothing architectures with SAP IQ Multiplexer

Replication methods

Methods for redundantly storing data on multiple nodes

yes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).

yes

based on PostgreSQL

SAP/Sybase Replication Server

MapReduce

Offers an API for user-defined Map/Reduce methods

Hadoop integration

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

tunable from ACID to Eventually Consistent

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

Yes, tunable from durable to delayed durability to in-memory

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 with additional protections for files

yes

based on PostgreSQL

fine grained access rights according to SQL-standard

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

show all

Recent citations in the news

Motorola Solutions Strengthens FairCom Partnership Through FairCom Brazil Dev Day
20 February 2025, Business Wire

Trend-Setting Products in Data and Information Management for 2025
5 December 2024, Database Trends and Applications

provided by Google News

SAP Products & Services Data Portfolio
2 July 2021, Datamation

Independent Research Firm Names SAP a Leader in Data Management for Analytics
17 February 2020, SAP News Center

Database Management System Market Projected to Reach USD
5 May 2025, GlobeNewswire

SAP data and analytics: in with the new, don't squander the old
22 July 2019, ZDNet

Google Cloud adds backup vaults and centralized management
10 September 2024, Blocks and Files

provided by Google News

Share this page