DBMS > Amazon Redshift vs. Impala vs. JSqlDb vs. Oracle

System Properties Comparison Amazon Redshift vs. Impala vs. JSqlDb vs. Oracle

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Editorial information provided by DB-Engines

Name

Description

Large scale data warehouse service for use with business intelligence tools

Analytic DBMS for Hadoop

JavaScript Query Language Database, stores JavaScript objects and primitives

Widely used RDBMS

Primary database model

Relational DBMS

Document store
Object oriented DBMS

Relational DBMS

Secondary database models

Document store

Document store
Graph DBMS info

with Oracle Spatial and Graph
RDF store info

with Oracle Spatial and Graph

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Trend Chart

Score	22.41
Rank	#29	Overall
	#17	Relational DBMS

Score	14.51
Rank	#37	Overall
	#22	Relational DBMS

Score	0.00
Rank	#337	Overall
	#46	Document stores
	#20	Object oriented DBMS

Score	1340.26
Rank	#1	Overall
	#1	Relational DBMS

Website

aws.amazon.com/redshift

www.cloudera.com/products/open-source/apache-hadoop/impala.html

jsqldb.org

www.oracle.com/database

Technical documentation

docs.aws.amazon.com/redshift

www.cloudera.com/documentation/enterprise/latest/topics/impala.html

docs.oracle.com/en/database

Developer

Amazon (based on PostgreSQL)

Cloudera

Konrad von Backstrom

Oracle

Initial release

2012

2013

2018

1980

Current release

3.3.0, August 2019

0.8, December 2018

19c, February 2019

License

Commercial or Open Source

commercial

Open Source info

Apache Version 2

Open Source

commercial info

restricted free version is available

Cloud-based only info

Only available as a cloud service

yes

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++

Server operating systems

hosted

Linux

Linux
macOS
Windows

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

Data scheme

yes

schema-free

yes

Schemaless in JSON and XML columns

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

restricted

yes

SQL

Support of SQL

yes

does not fully support an SQL-standard

SQL-like DML and DDL statements

yes

with proprietary extensions

APIs and other access methods

JDBC
ODBC

JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)

Supported programming languages

All languages supporting JDBC/ODBC

JavaScript

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

Server-side scripts info

Stored procedures

user defined functions info

in Python

yes

user defined functions and integration of map-reduce

functions in JavaScript

PL/SQL

also stored procedures in Java possible

Triggers

yes

Partitioning methods info

Methods for storing different data on different nodes

Sharding

none

horizontal partitioning info

with the optional Oracle Partitioning

Replication methods info

Methods for redundantly storing data on multiple nodes

yes

selectable replication factor

none

Master-master replication
Master-slave replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

query execution via MapReduce

can be realized in PL/SQL

Consistency concepts info

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

Immediate Consistency

Foreign keys info

Referential integrity

yes

informational only, not enforced by the system

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

using RocksDB

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

Access rights for users, groups and roles info

based on Apache Sentry and Kerberos

fine grained access rights according to SQL-standard

More information provided by the system vendor

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