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

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

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Editorial information provided by DB-Engines

Name

Description

Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.

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

High performance Time Series DBMS

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

Primary database model

Relational DBMS

Time Series DBMS

Relational DBMS

Secondary database models

Relational DBMS

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

Score	4.99
Rank	#61	Overall
	#34	Relational DBMS

Score	2.83
Rank	#87	Overall
	#44	Relational DBMS

Score	5.48
Rank	#58	Overall
	#2	Time Series DBMS

Score	2.18
Rank	#106	Overall
	#51	Relational DBMS

Website

db.apache.org/derby

www.exasol.com/en/products

kx.com

www.snowflake.com

Technical documentation

db.apache.org/derby/manuals/index.html

www.exasol.com/en/community/resources

code.kx.com

docs.snowflake.net/manuals/index.html

Developer

Apache Software Foundation

Exasol

Kx Systems, a division of First Derivatives plc

Snowflake Computing Inc.

Initial release

1997

2000

kdb was released 2000, kdb+ in 2003

2014

Current release

10.15.1.3, March 2019

3.6, May 2018

License

Commercial or Open Source

Open Source info

Apache version 2

commercial

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

Java

Server operating systems

All OS with a Java VM

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

SQL-like query language (q)

yes

APIs and other access methods

JDBC

.Net
JDBC
ODBC
WebSocket

HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket

CLI Client
JDBC
ODBC

Supported programming languages

Java

Java
Lua
Python
R

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

JavaScript (Node.js)
Python

Server-side scripts info

Stored procedures

Java 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

none

Sharding

horizontal partitioning

yes

Replication methods info

Methods for redundantly storing data on multiple nodes

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

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

fine grained access rights according to SQL-standard

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

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

Competitive advantages

provides seamless scalability; runs on industry standard server platforms; is top-ranked...
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Typical application scenarios

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

Key customers

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

Market metrics

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

Licensing and pricing models

upon request
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.