DBMS > LevelDB vs. Oracle vs. RDF4J

System Properties Comparison LevelDB vs. Oracle vs. RDF4J

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Editorial information provided by DB-Engines

Name

Description

Embeddable fast key-value storage library that provides an ordered mapping from string keys to string values

Widely used RDBMS

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

Primary database model

Key-value store

Relational DBMS

RDF store

Secondary database models

Document store
Graph DBMS info

with Oracle Spatial and Graph
RDF store info

with Oracle Spatial and Graph

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

Score	3.06
Rank	#93	Overall
	#18	Key-value stores

Score	1340.26
Rank	#1	Overall
	#1	Relational DBMS

Score	0.48
Rank	#220	Overall
	#9	RDF stores

Website

github.com/google/leveldb

www.oracle.com/database

rdf4j.org

Technical documentation

github.com/google/leveldb/blob/master/doc/index.md

docs.oracle.com/en/database

rdf4j.org/documentation

Developer

Google

Oracle

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

Initial release

2011

1980

2004

Current release

1.22, May 2019

19c, February 2019

License

Commercial or Open Source

Open Source info

BSD

commercial info

restricted free version is available

Open Source info

Eclipse Distribution License (EDL), v1.0.

Cloud-based only info

Only available as a cloud service

DBaaS offerings (sponsored links) info

Database as a Service

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

Implementation language

C++

C and C++

Java

Server operating systems

Illumos
Linux
OS X
Windows

AIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS

Linux
OS X
Unix
Windows

Data scheme

schema-free

yes

Schemaless in JSON and XML columns

yes

RDF Schemas

Typing

predefined data types such as float or date

yes

XML support info

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

yes

Secondary indexes

yes

SQL

Support of SQL

yes

with proprietary extensions

APIs and other access methods

JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)

Java API
RIO info

RDF Input/Output
Sail API
SeRQL info

Sesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL

Supported programming languages

C++
Go
Java info

3rd party binding
JavaScript (Node.js) info

3rd party binding
Python info

3rd party binding

C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic

Java
PHP
Python

Server-side scripts info

Stored procedures

PL/SQL

also stored procedures in Java possible

yes

Triggers

yes

Partitioning methods info

Methods for storing different data on different nodes

none

horizontal partitioning info

with the optional Oracle Partitioning

none

Replication methods info

Methods for redundantly storing data on multiple nodes

none

Master-master replication
Master-slave replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

can be realized in PL/SQL

Consistency concepts info

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys info

Referential integrity

yes

Transaction concepts info

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

ACID

isolation level can be parameterized

ACID

Isolation support depends on the API used

Concurrency info

Support for concurrent manipulation of data

yes

Durability info

Support for making data persistent

yes

with automatic compression on writes

yes

in-memory storage is supported as well

In-memory capabilities info

Is there an option to define some or all structures to be held in-memory only.

yes

Version 12c introduced the new option 'Oracle Database In-Memory'

User concepts info

Access control

fine grained access rights according to SQL-standard

More information provided by the system vendor

Specific characteristics

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