DBMS > EventStoreDB vs. Oracle Rdb vs. Prometheus

System Properties Comparison EventStoreDB vs. Oracle Rdb vs. Prometheus

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Editorial information provided by DB-Engines

Name

Description

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

Open-source Time Series DBMS and monitoring system

Primary database model

Event Store

Relational DBMS

Time Series DBMS

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

Score	1.07
Rank	#181	Overall
	#1	Event Stores

Score	1.04
Rank	#184	Overall
	#84	Relational DBMS

Score	7.56
Rank	#49	Overall
	#3	Time Series DBMS

Website

www.eventstore.com

www.oracle.com/database/technologies/related/rdb.html

prometheus.io

Technical documentation

developers.eventstore.com

www.oracle.com/database/technologies/related/rdb-doc.html

prometheus.io/docs

Developer

Event Store Limited

Oracle, originally developed by Digital Equipment Corporation (DEC)

Initial release

2012

1984

2015

Current release

21.2, February 2021

7.4.1.1, 2021

License

Commercial or Open Source

Open Source

commercial

Open Source

Apache 2.0

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

HP Open VMS

Linux
Windows

Data scheme

Flexible Schema (defined schema, partial schema, schema free)

yes

Typing

predefined data types such as float or date

yes

Numeric data only

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.

Import of XML data possible

Secondary indexes

yes

SQL

Support of SQL

yes

APIs and other access methods

RESTful HTTP/JSON API

Supported programming languages

.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby

Server-side scripts

Stored procedures

Triggers

Partitioning methods

Methods for storing different data on different nodes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

by Federation

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

none

Foreign keys

Referential integrity

yes

Transaction concepts

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

yes, on a single node

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.

User concepts

Access control

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