DBMS > Impala vs. Oracle vs. Redis

System Properties Comparison Impala vs. Oracle vs. Redis

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Editorial information provided by DB-Engines

Name

Description

Analytic DBMS for Hadoop

Widely used RDBMS

In-memory data structure store, used as database, cache and message broker info

Redis focuses on performance so most of its design decisions prioritize high performance and very low latencies.

Primary database model

Relational DBMS

Key-value store info

Multiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistence

Secondary database models

Document store

Document store
Graph DBMS info

with Oracle Spatial and Graph
RDF store info

with Oracle Spatial and Graph

Document store info

with Redis Modules
Graph DBMS info

with Redis Modules
Search engine info

with Redis Modules
Time Series DBMS info

with Redis Modules

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

Score	16.03
Rank	#36	Overall
	#22	Relational DBMS

Score	1346.68
Rank	#1	Overall
	#1	Relational DBMS

Score	148.75
Rank	#8	Overall
	#1	Key-value stores

Website

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

www.oracle.com/database

redis.io

Technical documentation

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

docs.oracle.com/en/database

redis.io/documentation

Developer

Cloudera

Oracle

Salvatore Sanfilippo info

Development sponsored by Redis Labs

Initial release

2013

1980

2009

Current release

3.3.0, August 2019

19c, February 2019

5.0.7, November 2019

License

Commercial or Open Source

Open Source info

Apache Version 2

commercial info

restricted free version is available

Open Source info

BSD 3-Clause, commercial license available

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++

Server operating systems

Linux

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

BSD
Linux
OS X
Windows info

ported and maintained by Microsoft Open Technologies, Inc.

Data scheme

yes

Schemaless in JSON and XML columns

schema-free

Typing

predefined data types such as float or date

yes

partial

Supported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes

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

with RediSearch module

SQL

Support of SQL

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)

proprietary protocol info

RESP - REdis Serialization Protocol

Supported programming languages

All languages supporting JDBC/ODBC

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

C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic

Server-side scripts info

Stored procedures

yes

user defined functions and integration of map-reduce

PL/SQL

also stored procedures in Java possible

Lua

Triggers

yes

Partitioning methods info

Methods for storing different data on different nodes

Sharding

horizontal partitioning info

with the optional Oracle Partitioning

Sharding

Replication methods info

Methods for redundantly storing data on multiple nodes

selectable replication factor

Master-master replication
Master-slave replication

Master-slave replication info

Chained replication is supported
Multi-master replication info

with Redis Enterprise Pack

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

Eventual Consistency

Immediate Consistency

Eventual Consistency
Strong eventual consistency with CRDTs

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

Optimistic locking, atomic execution of commands blocks and scripts

Concurrency info

Support for concurrent manipulation of data

yes

Data access is serialized by the server

Durability info

Support for making data persistent

yes

Configurable mechanisms for persistency via snapshots and/or operations logs

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'

yes

User concepts info

Access control

Access rights for users, groups and roles info

based on Apache Sentry and Kerberos

fine grained access rights according to SQL-standard

Simple password-based access control info

Access control lists and SSL are available in the commercial version

More information provided by the system vendor

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