DBMS > AlaSQL vs. EventStoreDB vs. FileMaker vs. Microsoft Azure Synapse Analytics

System Properties Comparison AlaSQL vs. EventStoreDB vs. FileMaker vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines

Name

Description

JavaScript DBMS library

Industrial-strength, open-source database solution built from the ground up for event sourcing.

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

Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server

Primary database model

Document store
Relational DBMS

Event Store

Relational DBMS

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

Score	0.42
Rank	#264	Overall
	#42	Document stores
	#122	Relational DBMS

Score	1.07
Rank	#181	Overall
	#1	Event Stores

Score	45.20
Rank	#20	Overall
	#14	Relational DBMS

Score	18.98
Rank	#31	Overall
	#19	Relational DBMS

Website

alasql.org

www.eventstore.com

www.claris.com/filemaker

azure.microsoft.com/services/synapse-analytics

Technical documentation

github.com/AlaSQL/alasql

developers.eventstore.com

www.claris.com/resources/documentation

docs.microsoft.com/azure/synapse-analytics

Developer

Andrey Gershun & Mathias R. Wulff

Event Store Limited

Claris

a subsidiary of Apple

Microsoft

Initial release

2014

2012

1983

2016

Current release

21.2, February 2021

19.4.1, November 2021

License

Commercial or Open Source

Open Source

MIT-License

Open Source

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

JavaScript

C++

Server operating systems

server-less, requires a JavaScript environment (browser, Node.js)

Linux
Windows

iOS

client part only
Linux
OS X
Windows

hosted

Data scheme

schema-free

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

Close to SQL99, but no user access control, stored procedures and host language bindings.

yes

via plugins

yes

APIs and other access methods

JavaScript API

Filemaker WebDirect
JDBC
ODBC

ADO.NET
JDBC
ODBC

Supported programming languages

JavaScript

PHP

C#
Java
PHP

Server-side scripts

Stored procedures

yes

Transact SQL

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding, horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

none

Source-replica replication, warm standby

since Version 14

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

none

Immediate Consistency

Foreign keys

Referential integrity

yes

docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/sql-data-warehouse-table-constraints

Transaction concepts

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

yes

only for local storage and DOM-storage

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

by using IndexedDB, SQL.JS or proprietary FileStorage

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

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

yes

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