DBMS > Firebird vs. Oracle Coherence vs. RDF4J vs. YTsaurus

System Properties Comparison Firebird vs. Oracle Coherence vs. RDF4J vs. YTsaurus

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Editorial information provided by DB-Engines

Name

Description

Firebird is an open source RDBMS forked from Borland's InterBase

Oracles in-memory data grid solution

RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.

YTsaurus is an open source platform for distributed storage and processing.

Primary database model

Relational DBMS

Key-value store

RDF store

Document store
Key-value store

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

Score	20.82
Rank	#30	Overall
	#18	Relational DBMS

Score	1.92
Rank	#130	Overall
	#22	Key-value stores

Score	0.69
Rank	#230	Overall
	#9	RDF stores

Score	0.11
Rank	#340	Overall
	#45	Document stores
	#50	Key-value stores

Website

www.firebirdsql.org

www.oracle.com/java/coherence

rdf4j.org

ytsaurus.tech

Technical documentation

www.firebirdsql.org/en/reference-manuals

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

rdf4j.org/documentation

ytsaurus.tech/docs/en

Developer

Firebird Foundation

Oracle

Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.

Yandex

Initial release

2000

As fork of Borland's InterBase

2007

2004

2023

Current release

5.0.0, January 2024

14.1, August 2023

License

Commercial or Open Source

Open Source

Initial Developer's Public License

commercial

Open Source

Eclipse Distribution License (EDL), v1.0.

Open Source

Apache License, Version 2.0

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

C and C++

Java

C++

Server operating systems

AIX
FreeBSD
HP-UX
Linux
OS X
server-less

Firebird Embedded Server
Solaris
Unix
Windows

All OS with a Java VM

Linux
OS X
Unix
Windows

Ubuntu

Data scheme

yes

schema-free

yes

RDF Schemas

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

YQL, an SQL-based language, is supported

APIs and other access methods

ADO.NET
C/C++ API
JDBC

Jaybird
ODBC
OLE DB

JCache
JPA
RESTful HTTP API

Java API
RIO

RDF Input/Output
Sail API
SeRQL

Sesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL

Supported programming languages

C
C#
C++
Delphi
Java
JavaScript

Node.js
Lua
Perl
PHP
Python
Ruby

.Net
C++
Java

Java
PHP
Python

C++
Go
Java
JavaScript
Python

Server-side scripts

Stored procedures

PSQL

yes

Triggers

yes

Live Events

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

yes, with selectable consistency level

none

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency
Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

configurable

ACID

Isolation support depends on the API used

ACID

Concurrency

Support for concurrent manipulation of data

yes

Features a multi-generational MVCC architecture, readers do not block writers

yes

Durability

Support for making data persistent

yes

optionally

yes

in-memory storage is supported as well

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

Users with fine-grained authorization concept

authentification to access the cache via certificates or http basic authentication

Access Control Lists

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