DBMS > Fujitsu Enterprise Postgres vs. Oracle Coherence vs. SWC-DB vs. Yanza

System Properties Comparison Fujitsu Enterprise Postgres vs. Oracle Coherence vs. SWC-DB vs. Yanza

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Editorial information provided by DB-Engines

Name

Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.

Description

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

Oracles in-memory data grid solution

A high performance, scalable Wide Column DBMS

Time Series DBMS for IoT Applications

Primary database model

Secondary database models

Document store
Spatial DBMS

Time Series DBMS

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

Score	0.22
Rank	#304	Overall
	#137	Relational DBMS

Score	1.90
Rank	#127	Overall
	#21	Key-value stores

Score	0.01
Rank	#378	Overall
	#13	Wide column stores

Website

www.postgresql.fastware.com

www.oracle.com/java/coherence

github.com/kashirin-alex/swc-db
www.swcdb.org

yanza.com

Technical documentation

www.postgresql.fastware.com/product-manuals

docs.oracle.com/en/middleware/standalone/coherence

Developer

PostgreSQL Global Development Group, Fujitsu Australia Software Technology

Oracle

Alex Kashirin

Yanza

Initial release

2007

2020

2015

Current release

Fujitsu Enterprise Postgres 14, January 2022

14.1, August 2023

0.5, April 2021

License

Commercial or Open Source

commercial

Open Source

GPL V3

commercial

free version available

Cloud-based only

Only available as a cloud service

but mainly used as a service provided by Yanza

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

Java

C++

Server operating systems

Linux
Windows

All OS with a Java VM

Linux

Windows

Data scheme

yes

schema-free

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.

Secondary indexes

yes

SQL

Support of SQL

yes

SQL-like query language

APIs and other access methods

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

JCache
JPA
RESTful HTTP API

Proprietary protocol
Thrift

HTTP API

Supported programming languages

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

.Net
C++
Java

C++

any language that supports HTTP calls

Server-side scripts

Stored procedures

user defined functions

Triggers

yes

Live Events

yes

Timer and event based

Partitioning methods

Methods for storing different data on different nodes

partitioning by range, list and by hash

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

yes, with selectable consistency level

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency
Immediate Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

configurable

Concurrency

Support for concurrent manipulation of data

yes, multi-version concurrency control (MVCC)

yes

Durability

Support for making data persistent

yes

optionally

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

authentification to access the cache via certificates or http basic authentication

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