DBMS > JaguarDB vs. Netezza vs. Redis vs. Trafodion

System Properties Comparison JaguarDB vs. Netezza vs. Redis vs. Trafodion

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Editorial information provided by DB-Engines

Name

Description

Performant, highly scalable DBMS for AI and IoT applications

Data warehouse and analytics appliance part of IBM PureSystems

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

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

Transactional SQL-on-Hadoop DBMS

Primary database model

Key-value store

Relational DBMS

Key-value store

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

Relational DBMS

Secondary database models

Document store

with Redis Modules
Graph DBMS

with Redis Modules
Spatial DBMS
Search engine

with Redis Modules
Time Series DBMS

with Redis Modules

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

Score	0.02
Rank	#334	Overall
	#54	Key-value stores

Score	19.20
Rank	#35	Overall
	#21	Relational DBMS

Score	155.89
Rank	#7	Overall
	#1	Key-value stores

Score	0.50
Rank	#237	Overall
	#114	Relational DBMS

Website

www.datajaguar.com

www.ibm.com/products/netezza

redis.io

trafodion.apache.org

Technical documentation

www.datajaguar.com/support.php

redis.io/documentation

trafodion.apache.org

Developer

DataJaguar, Inc.

IBM

Salvatore Sanfilippo

Development sponsored by Redis Labs

Apache Software Foundation, originally developed by HP

Initial release

2015

2000

2009

2014

Current release

2.9.4 September 2018

6.2.1 , March 2021

2.3.0, February 2019

License

Commercial or Open Source

Open Source

GPL V3.0

commercial

Open Source

BSD 3-Clause, commercial license available

Open Source

Apache 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++

the server part. Clients available in other languages

C++, Java

Server operating systems

Linux

included in appliance

BSD
Linux
OS X
Windows

ported and maintained by Microsoft Open Technologies, Inc.

Linux

Data scheme

yes

schema-free

yes

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

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

with RediSearch module

yes

SQL

Support of SQL

A subset of ANSI SQL is implemented

but no views, foreign keys, triggers

yes

APIs and other access methods

JDBC
ODBC

JDBC
ODBC
OLE DB

proprietary protocol

RESP - REdis Serialization Protocol

ADO.NET
JDBC
ODBC

Supported programming languages

C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala

C
C++
Fortran
Java
Lua
Perl
Python
R

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

All languages supporting JDBC/ODBC/ADO.Net

Server-side scripts

Stored procedures

yes

Lua

Java Stored Procedures

Triggers

publish/subscribe channels provide limited trigger functionality

Partitioning methods

Methods for storing different data on different nodes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

Source-replica replication

Multi-source replication

with Redis Enterprise Pack
Source-replica replication

Chained replication is supported

yes, via HBase

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

via user defined functions and HBase

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Eventual Consistency
Strong eventual consistency with CRDTs

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

Optimistic locking, atomic execution of commands blocks and scripts

ACID

Concurrency

Support for concurrent manipulation of data

yes

Data access is serialized by the server

yes

Durability

Support for making data persistent

yes

Configurable mechanisms for persistency via snapshots and/or operations logs

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

rights management via user accounts

Users with fine-grained authorization concept

Simple password-based access control

Access control lists and SSL are available in the commercial version

fine grained access rights according to SQL-standard

More information provided by the system vendor

Specific characteristics

SQL support, group by, order by, join
» more

Redis, benchmarked as the world's fastest database, reduces application complexity,...
» more

Competitive advantages

Extremely easy to scale-out (in seconds) 100,000 times faster
» more

Redis is an in-memory database platform offering native support of wide range of...
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Typical application scenarios

IoT data, time series data, AI data. Any type of numerical data.
» more

Redis powers personalization, real-time fraud detection, IoT, e-commerce, real-time...
» more

Key customers

Quantea, 2PiDay, Synqy, SinoLogistics, IIVI
» more

Verizon, Vodafone, Atlassian, Trip Advisor, Jet.com, Nokia, Samsung, HTC, Docker,...
» more

Market metrics

Advertising awareness, installed base, brand image, market share
» more

Licensing and pricing models

Free-trial license, per-node license, and subscription license.
» more

The licensing model is subscription based. Redis Enterprise Cloud is priced according...
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