DBMS > AlaSQL vs. FileMaker vs. IBM Db2 warehouse vs. NSDb

System Properties Comparison AlaSQL vs. FileMaker vs. IBM Db2 warehouse vs. NSDb

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Editorial information provided by DB-Engines

Name

Description

JavaScript DBMS library

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

Cloud-based data warehousing service

Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes

Primary database model

Document store
Relational DBMS

Relational DBMS

Time Series DBMS

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

Score	0.51
Rank	#256	Overall
	#40	Document stores
	#118	Relational DBMS

Score	47.91
Rank	#20	Overall
	#14	Relational DBMS

Score	1.37
Rank	#160	Overall
	#74	Relational DBMS

Score	0.08
Rank	#369	Overall
	#40	Time Series DBMS

Website

alasql.org

www.claris.com/filemaker

www.ibm.com/products/db2/warehouse

nsdb.io

Technical documentation

github.com/AlaSQL/alasql

www.claris.com/resources/documentation

nsdb.io/Architecture

Developer

Andrey Gershun & Mathias R. Wulff

Claris

a subsidiary of Apple

IBM

Initial release

2014

1983

2014

2017

Current release

19.4.1, November 2021

License

Commercial or Open Source

Open Source

MIT-License

commercial

Open Source

Apache Version 2.0

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

Java, Scala

Server operating systems

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

iOS

client part only
Linux
OS X
Windows

hosted

Linux
macOS

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

yes

yes: int, bigint, decimal, string

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

Import/export of XML data possible

Secondary indexes

yes

all fields are automatically indexed

SQL

Support of SQL

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

yes

via plugins

yes

SQL-like query language

APIs and other access methods

JavaScript API

Filemaker WebDirect
JDBC
ODBC

.NET Client API
JDBC
ODBC
OLE DB

gRPC
HTTP REST
WebSocket

Supported programming languages

JavaScript

PHP

Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby

Java
Scala

Server-side scripts

Stored procedures

yes

PL/SQL, SQL PL

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

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

Eventual Consistency

Foreign keys

Referential integrity

yes

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

Using Apache Lucene

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

fine grained access rights according to SQL-standard

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