DBMS > dBASE vs. EXASOL vs. FileMaker vs. Kdb vs. Snowflake

System Properties Comparison dBASE vs. EXASOL vs. FileMaker vs. Kdb vs. Snowflake

Editorial information provided by DB-Engines

Name

Description

dBase was one of the first databases with a development environment on PC's. Its latest version dBase V is still sold as dBase classic, which needs a DOS Emulation. The up-to-date product is dBase plus.

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

FileMaker is a cross-platform RDBMS that includes a GUI frontend.

High performance Time Series DBMS

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

Primary database model

Relational DBMS

Time Series DBMS
Vector DBMS

Relational DBMS

Secondary database models

Relational DBMS

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

Score	8.32
Rank	#43	Overall
	#27	Relational DBMS

Score	1.62
Rank	#138	Overall
	#63	Relational DBMS

Score	42.78
Rank	#20	Overall
	#14	Relational DBMS

Score	7.06
Rank	#48	Overall
	#2	Time Series DBMS
	#2	Vector DBMS

Score	142.50
Rank	#7	Overall
	#5	Relational DBMS

Website

www.dbase.com

www.exasol.com

www.claris.com/filemaker

kx.com

www.snowflake.com

Technical documentation

www.dbase.com/support/knowledgebase

www.exasol.com/resources

www.claris.com/resources/documentation

code.kx.com

docs.snowflake.net/manuals/index.html

Developer

Asthon Tate

Exasol

Claris

a subsidiary of Apple

Kx Systems, a division of First Derivatives plc

Snowflake Computing Inc.

Initial release

1979

2000

1983

2000

kdb was released 2000, kdb+ in 2003

2014

Current release

dBASE 2019, 2019

19.4.1, November 2021

3.6, May 2018

License

Commercial or Open Source

commercial

free 32-bit version

commercial

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Server operating systems

DOS

dBase Classic
Windows

dBase Pro

iOS

client part only
Linux
OS X
Windows

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

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

yes

A http query request can return the data in XML format

yes

Secondary indexes

yes

table attribute 'grouped'

SQL

Support of SQL

yes

via plugins

SQL-like query language (q)

yes

APIs and other access methods

none

The IDE can access other DBMS or ODBC-sources.

.Net
JDBC
ODBC
WebSocket

Filemaker WebDirect
JDBC
ODBC

HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket

CLI Client
JDBC
ODBC

Supported programming languages

dBase proprietary IDE

Java
Lua
Python
R

PHP

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

JavaScript (Node.js)
Python

Server-side scripts

Stored procedures

The IDE can access stored procedures in other database systems.

user defined functions

yes

user defined functions

Triggers

yes

with views

similar concept for controling cloud resources

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

none

horizontal partitioning

yes

Replication methods

Methods for redundantly storing data on multiple nodes

none

Source-replica replication, warm standby

since Version 14

Source-replica replication

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Hadoop integration

similar paradigm used for internal processing

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

not for dBase internal data, but IDE does support transactions when accessing external DBMS

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

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

Access rights for users and roles

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

simple rights management via user accounts and connection to external directory services

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...
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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...
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Key customers

Goldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
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Market metrics

kdb+ performance and reliability proven by our customers in critical infrastructure...
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Licensing and pricing models

upon request
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