DBMS > Amazon Redshift vs. FileMaker vs. Kyligence Enterprise vs. searchxml

System Properties Comparison Amazon Redshift vs. FileMaker vs. Kyligence Enterprise vs. searchxml

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Editorial information provided by DB-Engines

Name

Description

Large scale data warehouse service for use with business intelligence tools

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

A distributed analytics engine for big data, built on top of Apache Kylin

DBMS for structured and unstructured content wrapped with an application server

Primary database model

Relational DBMS

Native XML DBMS
Search engine

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

Score	15.25
Rank	#38	Overall
	#23	Relational DBMS

Score	45.20
Rank	#20	Overall
	#14	Relational DBMS

Score	0.44
Rank	#259	Overall
	#118	Relational DBMS

Score	0.00
Rank	#385	Overall
	#7	Native XML DBMS
	#24	Search engines

Website

aws.amazon.com/redshift

www.claris.com/filemaker

kyligence.io/kyligence-enterprise

www.searchxml.net/category/products

Technical documentation

docs.aws.amazon.com/redshift

www.claris.com/resources/documentation

www.searchxml.net/support/handouts

Developer

Amazon (based on PostgreSQL)

Claris

a subsidiary of Apple

Kyligence, Inc.

informationpartners gmbh

Initial release

2012

1983

2016

2015

Current release

19.4.1, November 2021

1.0

License

Commercial or Open Source

commercial

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Java

C++

Server operating systems

hosted

iOS

client part only
Linux
OS X
Windows

Linux

Windows

Data scheme

yes

schema-free

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

restricted

yes

SQL

Support of SQL

yes

does not fully support an SQL-standard

yes

via plugins

ANSI SQL for queries (using Apache Calcite)

APIs and other access methods

JDBC
ODBC

Filemaker WebDirect
JDBC
ODBC

JDBC
ODBC
RESTful HTTP API

RESTful HTTP API
WebDAV
XQuery
XSLT

Supported programming languages

All languages supporting JDBC/ODBC

PHP

C++

most other programming languages supported via APIs

Server-side scripts

Stored procedures

user defined functions

in Python

yes

on the application server

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Source-replica replication, warm standby

since Version 14

yes

sychronisation to multiple collections

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

informational only, not enforced by the system

yes

Transaction concepts

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

ACID

multiple readers, single writer

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

fine grained access rights according to SQL-standard

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

Domain, group and role-based access control at the document level and for application services

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