DBMS > EventStoreDB vs. Fujitsu Enterprise Postgres

System Properties Comparison EventStoreDB vs. Fujitsu Enterprise Postgres

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Our visitors often compare EventStoreDB and Fujitsu Enterprise Postgres with PostgreSQL and SurrealDB.

Editorial information provided by DB-Engines

Name

Description

Industrial-strength, open-source database solution built from the ground up for event sourcing.

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

Primary database model

Event Store

Relational DBMS

Secondary database models

Document store
Spatial DBMS

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

Score	1.04
Rank	#180	Overall
	#1	Event Stores

Score	0.20
Rank	#306	Overall
	#137	Relational DBMS

Website

www.eventstore.com

www.postgres.global.fujitsu.com

Technical documentation

developers.eventstore.com

www.postgres.global.fujitsu.com/product-manuals

Developer

Event Store Limited

Fujitsu Limited

Initial release

2012

Current release

21.2, February 2021

Fujitsu Enterprise Postgres 16, May 2024

License

Commercial or Open Source

Open Source

commercial

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Server operating systems

Linux
Windows

Data scheme

yes

Typing

predefined data types such as float or date

yes

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

Supported programming languages

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

Server-side scripts

Stored procedures

user defined functions

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

partitioning by range, list and by hash

Replication methods

Methods for redundantly storing data on multiple nodes

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, multi-version concurrency control (MVCC)

Durability

Support for making data persistent

yes

User concepts

Access control

fine grained access rights according to SQL-standard

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More resources

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