DBMS > Oracle Rdb vs. Prometheus vs. RDFox vs. Sequoiadb

System Properties Comparison Oracle Rdb vs. Prometheus vs. RDFox vs. Sequoiadb

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Editorial information provided by DB-Engines

Name

Description

Open-source Time Series DBMS and monitoring system

High performance knowledge graph and semantic reasoning engine

NewSQL database with distributed OLTP and SQL

Primary database model

Relational DBMS

Time Series DBMS

Graph DBMS
RDF store

Document store
Relational DBMS

Secondary database models

Relational DBMS

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

Score	1.08
Rank	#184	Overall
	#85	Relational DBMS

Score	8.42
Rank	#47	Overall
	#2	Time Series DBMS

Score	0.23
Rank	#308	Overall
	#25	Graph DBMS
	#14	RDF stores

Score	0.45
Rank	#261	Overall
	#41	Document stores
	#122	Relational DBMS

Website

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

prometheus.io

www.oxfordsemantic.tech

www.sequoiadb.com

Technical documentation

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

prometheus.io/docs

docs.oxfordsemantic.tech

www.sequoiadb.com/en/index.php?m=Files&a=index

Developer

Oracle, originally developed by Digital Equipment Corporation (DEC)

Oxford Semantic Technologies

Sequoiadb Ltd.

Initial release

1984

2015

2017

2013

Current release

7.4.1.1, 2021

6.0, Septermber 2022

License

Commercial or Open Source

commercial

Open Source

Apache 2.0

commercial

Open Source

Server: AGPL; Client: Apache V2

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++

Server operating systems

HP Open VMS

Linux
Windows

Linux
macOS
Windows

Linux

Data scheme

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

yes

RDF schemas

schema-free

Typing

predefined data types such as float or date

yes

Numeric data only

yes

oid, date, timestamp, binary, regex

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

SQL-like query language

APIs and other access methods

RESTful HTTP/JSON API

RESTful HTTP API
SPARQL 1.1

proprietary protocol using JSON

Supported programming languages

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

C
Java

.Net
C++
Java
PHP
Python

Server-side scripts

Stored procedures

JavaScript

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

replication via a shared file system

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

none

Immediate Consistency in stand-alone mode, Eventual Consistency in replicated setups

Eventual Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

yes, on a single node

ACID

Document is locked during a transaction

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.

yes

User concepts

Access control

Roles, resources, and access types

simple password-based access control

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