DBMS > FileMaker vs. Microsoft Azure AI Search vs. SiteWhere vs. WakandaDB

System Properties Comparison FileMaker vs. Microsoft Azure AI Search vs. SiteWhere vs. WakandaDB

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Editorial information provided by DB-Engines

Name

Description

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

Search-as-a-service for web and mobile app development

M2M integration platform for persisting/querying time series data

WakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data

Primary database model

Secondary database models

Vector DBMS

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

Score	45.20
Rank	#20	Overall
	#14	Relational DBMS

Score	5.75
Rank	#58	Overall
	#7	Search engines

Score	0.07
Rank	#347	Overall
	#33	Time Series DBMS

Score	0.03
Rank	#364	Overall
	#17	Object oriented DBMS

Website

www.claris.com/filemaker

azure.microsoft.com/en-us/services/search

github.com/sitewhere/sitewhere

wakanda.github.io

Technical documentation

www.claris.com/resources/documentation

learn.microsoft.com/en-us/azure/search

sitewhere1.sitewhere.io/index.html

wakanda.github.io/doc

Developer

Claris

a subsidiary of Apple

Microsoft

SiteWhere

Wakanda SAS

Initial release

1983

2015

2010

2012

Current release

19.4.1, November 2021

2.7.0 (April 29, 2019), April 2019

License

Commercial or Open Source

commercial

Open Source

Common Public Attribution License Version 1.0

Open Source

AGPLv3, extended commercial license available

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

Java

C++, JavaScript

Server operating systems

iOS

client part only
Linux
OS X
Windows

hosted

Linux
OS X
Windows

Data scheme

yes

predefined scheme

yes

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

Secondary indexes

yes

SQL

Support of SQL

yes

via plugins

APIs and other access methods

Filemaker WebDirect
JDBC
ODBC

RESTful HTTP API

HTTP REST

RESTful HTTP API

Supported programming languages

PHP

C#
Java
JavaScript
Python

JavaScript

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Implicit feature of the cloud service

Sharding

based on HBase

none

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication, warm standby

since Version 14

yes

Implicit feature of the cloud service

selectable replication factor

based on HBase

none

MapReduce

Offers an API for user-defined Map/Reduce methods

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

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.

User concepts

Access control

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

yes

using Azure authentication

Users with fine-grained authorization concept

yes

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More resources

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1 March 2024, Reverse Shot

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