DBMS > Fujitsu Enterprise Postgres vs. STSdb vs. Ultipa vs. WakandaDB

System Properties Comparison Fujitsu Enterprise Postgres vs. STSdb vs. Ultipa vs. WakandaDB

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Editorial information provided by DB-Engines

Name

Description

Enterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.

Key-Value Store with special method for indexing

optimized for high performance using a special indexing method

High performance Graph DBMS supporting HTAP high availability cluster deployment

WakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data

Primary database model

Secondary database models

Document store
Spatial DBMS

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

Score	0.37
Rank	#278	Overall
	#128	Relational DBMS

Score	0.10
Rank	#357	Overall
	#51	Key-value stores

Score	0.19
Rank	#330	Overall
	#30	Graph DBMS

Score	0.10
Rank	#356	Overall
	#17	Object oriented DBMS

Website

www.postgresql.fastware.com

github.com/STSSoft/STSdb4

www.ultipa.com

wakanda.github.io

Technical documentation

www.postgresql.fastware.com/product-manuals

www.ultipa.com/document

wakanda.github.io/doc

Developer

PostgreSQL Global Development Group, Fujitsu Australia Software Technology

STS Soft SC

Ultipa

Wakanda SAS

Initial release

2011

2019

2012

Current release

Fujitsu Enterprise Postgres 14, January 2022

4.0.8, September 2015

2.7.0 (April 29, 2019), April 2019

License

Commercial or Open Source

commercial

Open Source

GPLv2, commercial license available

commercial

Open Source

AGPLv3, extended commercial license available

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

C++, JavaScript

Server operating systems

Linux
Windows

Windows

Linux
OS X
Windows

Data scheme

yes

Typing

predefined data types such as float or date

yes

primitive types and user defined types (classes)

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.

Secondary indexes

yes

SQL

Support of SQL

yes

APIs and other access methods

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

.NET Client API

RESTful HTTP API

Supported programming languages

.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl

C#
Java

C++
Go
Java
JavaScript (Node.js)
Python

JavaScript

Server-side scripts

Stored procedures

user defined functions

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

partitioning by range, list and by hash

none

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

none

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, multi-version concurrency control (MVCC)

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.

User concepts

Access control

fine grained access rights according to SQL-standard

yes

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