DBMS > c-treeEDGE vs. EXASOL vs. Kdb+ vs. Snowflake

System Properties Comparison c-treeEDGE vs. EXASOL vs. Kdb+ vs. Snowflake

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Editorial information provided by DB-Engines

Name

Description

Database built for IoT edge computing, which runs natively on ARM or x86 processors and on major IoT operating systems.

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

Key-value store
Relational DBMS

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	0.37
Rank	#226	Overall
	#40	Key-value stores
	#105	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

www.faircom.com/-products/-c-treeedge

www.exasol.com/en/products

kx.com

www.snowflake.com

Technical documentation

learn.faircomcorp.com/developers/documentation_directory

www.exasol.com/en/community/resources

code.kx.com

docs.snowflake.net/manuals/index.html

Developer

FairCom Corporation

Exasol

Kx Systems, a division of First Derivatives plc

Snowflake Computing Inc.

Initial release

1979

2000

kdb was released 2000, kdb+ in 2003

2014

Current release

V1, Juni 2018

3.6, May 2018

License

Commercial or Open Source

commercial info

Restricted, free version available

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

ANSI C, C++

Server operating systems

Android
Linux
Raspbian
Windows info

easily portable to other OSs

Linux
OS X
Solaris
Windows

hosted

Data scheme

Flexible Schema (defined schema, partial schema, schema free)

yes

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

Typing

predefined data types such as float or date

yes, ANSI Standard SQL Types

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

ANSI SQL queries

yes

SQL-like query language (q)

yes

APIs and other access methods

ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API

.Net
JDBC
ODBC
WebSocket

HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket

CLI Client
JDBC
ODBC

Supported programming languages

.Net
C
C#
C++
Java
JavaScript
PHP
Python
Visual Basic

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

yes

.Net, JavaScript, C/C++

user defined functions

Triggers

yes

with views

similar concept for controling cloud resources

Partitioning methods info

Methods for storing different data on different nodes

File partitioning info

Customizable business rules for partitioning

Sharding

horizontal partitioning

yes

Replication methods info

Methods for redundantly storing data on multiple nodes

yes

Synchronous and asynchronous realtime replication based on transaction logs

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
Tunable Consistency

Immediate Consistency

Foreign keys info

Referential integrity

yes

when using SQL

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

across SQL and NoSQL

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 user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.

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

The c-treeEDGE IoT Database is a fast, flexible solution with a robust architecture...
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Integrated columnar database & programming system for streaming, real time and historical...
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Competitive advantages

Top Features Micro footprint: As low as 37 MB IoT communication interfaces : MQTT,...
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provides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more

Typical application scenarios

c-treeEDGE can be deployed at or near the data collection point (sensors) and used...
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tick database streaming sensor data massive intelligence applications oil and gas...
» more

Key customers

New product
» more

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

Market metrics

New product
» more

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

Licensing and pricing models

Just as the technical aspects of c-treeEDGE are flexible to meet operation requirements,...
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upon request
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.