DBMS > Oracle vs. Spark SQL

System Properties Comparison Oracle vs. Spark SQL

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Editorial information provided by DB-Engines

Name

Description

Widely used RDBMS

Spark SQL is a component on top of 'Spark Core' for structured data processing

Primary database model

Relational DBMS

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	1279.14
Rank	#1	Overall
	#1	Relational DBMS

Score	16.31
Rank	#34	Overall
	#21	Relational DBMS

Website

www.oracle.com/database

spark.apache.org/sql

Technical documentation

docs.oracle.com/en/database

spark.apache.org/docs/latest/sql-programming-guide.html

Developer

Oracle

Apache Software Foundation

Initial release

1980

2014

Current release

19c, February 2019

v2.4.0, November 2018

License

Commercial or Open Source

commercial info

restricted free version is available

Open Source info

Apache 2.0

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 and C++

Scala

Server operating systems

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

Linux
OS X
Windows

Data scheme

yes

Schemaless in JSON and XML columns

yes

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

SQL-like DML and DDL statements

APIs and other access methods

ODP.NET
Oracle Call Interface (OCI)
JDBC
ODBC

JDBC
ODBC

Supported programming languages

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
Python
R
Scala

Server-side scripts info

Stored procedures

PL/SQL

also stored procedures in Java possible

Triggers

yes

Partitioning methods info

Methods for storing different data on different nodes

horizontal partitioning info

with the optional Oracle Partitioning

yes, utilizing Spark Core

Replication methods info

Methods for redundantly storing data on multiple nodes

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

Concurrency info

Support for concurrent manipulation of data

yes

Durability info

Support for making data persistent

yes

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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