DBMS > EXASOL vs. JaguarDB vs. Redis vs. Snowflake

System Properties Comparison EXASOL vs. JaguarDB vs. Redis vs. Snowflake

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Editorial information provided by DB-Engines

Name

Description

High-performance, in-memory, MPP database specifically designed for in-memory analytics.

Performant, highly scalable DBMS for AI and IoT applications

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.

Cloud-based data warehousing service for structured and semi-structured data

Primary database model

Relational DBMS

Key-value store

Key-value store info

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 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	3.00
Rank	#90	Overall
	#45	Relational DBMS

Score	0.00
Rank	#336	Overall
	#59	Key-value stores

Score	145.64
Rank	#8	Overall
	#1	Key-value stores

Score	2.53
Rank	#101	Overall
	#48	Relational DBMS

Website

www.exasol.com/en/products

www.datajaguar.com

redis.io

www.snowflake.com

Technical documentation

www.exasol.com/en/community/resources

www.datajaguar.com/support.php

redis.io/documentation

docs.snowflake.net/manuals/index.html

Developer

Exasol

DataJaguar, Inc.

Salvatore Sanfilippo info

Development sponsored by Redis Labs

Snowflake Computing Inc.

Initial release

2000

2015

2009

2014

Current release

2.9.4 September 2018

6.0.1, May 2020

License

Commercial or Open Source

commercial

Open Source info

GPL V3.0

Open Source info

BSD 3-Clause, commercial license available

commercial

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++

the server part. Clients available in other languages

Server operating systems

Linux

BSD
Linux
OS X
Windows info

ported and maintained by Microsoft Open Technologies, Inc.

hosted

Data scheme

yes

schema-free

yes

support of semi-structured data formats (JSON, XML, Avro)

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 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

yes

A subset of ANSI SQL is implemented info

but no views, foreign keys, triggers

yes

APIs and other access methods

.Net
JDBC
ODBC
WebSocket

JDBC
ODBC

proprietary protocol info

RESP - REdis Serialization Protocol

CLI Client
JDBC
ODBC

Supported programming languages

Java
Lua
Python
R

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

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

JavaScript (Node.js)
Python

Server-side scripts info

Stored procedures

user defined functions

Lua

user defined functions

Triggers

yes

similar concept for controling cloud resources

Partitioning methods info

Methods for storing different data on different nodes

Sharding

yes

Replication methods info

Methods for redundantly storing data on multiple nodes

Master-master replication

Master-slave replication info

Chained replication is supported
Multi-master replication info

with Redis Enterprise Pack

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Hadoop integration

Consistency concepts info

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

Eventual Consistency
Strong eventual consistency with CRDTs

Immediate Consistency

Foreign keys info

Referential integrity

yes

Transaction concepts info

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

ACID

Optimistic locking, atomic execution of commands blocks and scripts

ACID

Concurrency info

Support for concurrent manipulation of data

yes

Data access is serialized by the server

yes

Durability info

Support for making data persistent

yes

Configurable mechanisms for persistency via snapshots and/or operations logs

yes

In-memory capabilities info

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

yes

User concepts info

Access control

Access rights for users, groups and roles according to SQL-standard

rights management via user accounts

Simple password-based access control info

Access control lists and SSL are available in the commercial version

Users with fine-grained authorization concept, user roles and pluggable authentication

More information provided by the system vendor

Specific characteristics

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

Competitive advantages

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

Typical application scenarios

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

Key customers

Quantea, 2PiDay, Synqy, SinoLogistics, IIVI
» 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

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