DBMS > EXASOL vs. JaguarDB vs. Kdb+ vs. Snowflake

System Properties Comparison EXASOL vs. JaguarDB vs. Kdb+ vs. Snowflake

Please select another system to include it in the comparison.

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

High performance Time Series DBMS

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

Primary database model

Secondary database models

Relational DBMS

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

Score	2.83
Rank	#87	Overall
	#44	Relational DBMS

Score	0.00
Rank	#338	Overall
	#60	Key-value stores

Score	5.48
Rank	#58	Overall
	#2	Time Series DBMS

Score	2.18
Rank	#106	Overall
	#51	Relational DBMS

Website

www.exasol.com/en/products

www.datajaguar.com

kx.com

www.snowflake.com

Technical documentation

www.exasol.com/en/community/resources

www.datajaguar.com/support.php

code.kx.com

docs.snowflake.net/manuals/index.html

Developer

Exasol

DataJaguar, Inc.

Kx Systems, a division of First Derivatives plc

Snowflake Computing Inc.

Initial release

2000

2015

2000

kdb was released 2000, kdb+ in 2003

2014

Current release

2.9.4 September 2018

3.6, May 2018

License

Commercial or Open Source

commercial

Open Source info

GPL V3.0

commercial info

free 32-bit version

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

Linux
OS X
Solaris
Windows

hosted

Data scheme

yes

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

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

table attribute 'grouped'

SQL

Support of SQL

yes

A subset of ANSI SQL is implemented info

but no views, foreign keys, triggers

SQL-like query language (q)

yes

APIs and other access methods

.Net
JDBC
ODBC
WebSocket

JDBC
ODBC

HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket

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++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala

JavaScript (Node.js)
Python

Server-side scripts info

Stored procedures

user defined functions

Triggers

yes

with views

similar concept for controling cloud resources

Partitioning methods info

Methods for storing different data on different nodes

Sharding

horizontal partitioning

yes

Replication methods info

Methods for redundantly storing data on multiple nodes

Master-master replication

Master-slave replication

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Hadoop integration

similar paradigm used for internal processing

Consistency concepts info

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

Immediate Consistency

Foreign keys info

Referential integrity

yes

Transaction concepts info

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

ACID

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

User concepts info

Access control

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

rights management via user accounts

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

Integrated columnar database & programming system for streaming, real time and historical...
» more

Competitive advantages

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

provides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more

Typical application scenarios

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

tick database streaming sensor data massive intelligence applications oil and gas...
» more

Key customers

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

Goldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more

Market metrics

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

kdb+ performance and reliability proven by our customers in critical infrastructure...
» more

Licensing and pricing models

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

upon request
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.