DBMS > PostGIS vs. SAP Advantage Database Server vs. Valentina Server

System Properties Comparison PostGIS vs. SAP Advantage Database Server vs. Valentina Server

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Editorial information provided by DB-Engines

Name

Description

Spatial extension of PostgreSQL

Low-cost RDBMS with access to ISAM and FoxPro data structures

Object-relational database and reports server

Primary database model

Spatial DBMS

Relational DBMS

Secondary database models

Relational DBMS

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

Score	29.16
Rank	#29	Overall
	#1	Spatial DBMS

Score	2.98
Rank	#109	Overall
	#56	Relational DBMS

Score	0.43
Rank	#279	Overall
	#130	Relational DBMS

Website

postgis.net

www.sap.com/products/advantage-database-server.html

www.valentina-db.net

Technical documentation

postgis.net/documentation

valentina-db.com/docs/dokuwiki/v5/doku.php

Developer

Sybase, SAP

Paradigma Software

Initial release

2005

1993

1999

Current release

3.3.2, November 2022

5.7.5

License

Commercial or Open Source

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

Server operating systems

Linux
Windows

Linux
OS X
Windows

Data scheme

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

Secondary indexes

yes

SQL

Support of SQL

yes

APIs and other access methods

.NET Client API
ADO.NET
JDBC
ODBC
OLE DB

ODBC

Supported programming languages

Delphi
Perl
PHP

.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET

Server-side scripts

Stored procedures

user defined functions

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

yes

based on PostgreSQL

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

based on PostgreSQL

Multi-source replication

CONFLICT Trigger to resolve replication conflicts
Source-replica replication

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.

caching of (temporary) tables can be configured

yes

User concepts

Access control

yes

based on PostgreSQL

fine grained access rights according to SQL-standard

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More resources

DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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