DBMS > AlaSQL vs. Amazon DynamoDB vs. dBASE vs. GeoSpock vs. LokiJS

System Properties Comparison AlaSQL vs. Amazon DynamoDB vs. dBASE vs. GeoSpock vs. LokiJS

Editorial information provided by DB-Engines

Name

GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.

Description

JavaScript DBMS library

Hosted, scalable database service by Amazon with the data stored in Amazons cloud

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.

Spatial and temporal data processing engine for extreme data scale

In-memory JavaScript DBMS

Primary database model

Document store
Relational DBMS

Document store
Key-value store

Relational DBMS

Document store

Secondary database models

Time Series DBMS

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

Score	0.46
Rank	#260	Overall
	#40	Document stores
	#121	Relational DBMS

Score	74.07
Rank	#17	Overall
	#3	Document stores
	#2	Key-value stores

Score	10.34
Rank	#44	Overall
	#28	Relational DBMS

Score	0.43
Rank	#264	Overall
	#42	Document stores

Website

alasql.org

aws.amazon.com/dynamodb

www.dbase.com

geospock.com

github.com/techfort/LokiJS

Technical documentation

github.com/AlaSQL/alasql

docs.aws.amazon.com/dynamodb

www.dbase.com/support/knowledgebase

techfort.github.io/LokiJS

Developer

Andrey Gershun & Mathias R. Wulff

Amazon

Asthon Tate

GeoSpock

Initial release

2014

2012

1979

2014

Current release

dBASE 2019, 2019

2.0, September 2019

License

Commercial or Open Source

Open Source

MIT-License

commercial

free tier for a limited amount of database operations

commercial

Open Source

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, Javascript

JavaScript

Server operating systems

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

hosted

DOS

dBase Classic
Windows

dBase Pro

hosted

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

Data scheme

schema-free

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.

Secondary indexes

yes

temporal, categorical

yes

via views

SQL

Support of SQL

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

ANSI SQL for query only (using Presto)

APIs and other access methods

JavaScript API

RESTful HTTP API

none

The IDE can access other DBMS or ODBC-sources.

JDBC

JavaScript API

Supported programming languages

JavaScript

.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby

dBase proprietary IDE

JavaScript

Server-side scripts

Stored procedures

The IDE can access stored procedures in other database systems.

View functions in JavaScript

Triggers

yes

by integration with AWS Lambda

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

none

Automatic sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

none

yes

none

MapReduce

Offers an API for user-defined Map/Reduce methods

may be implemented via Amazon Elastic MapReduce (Amazon EMR)

yes

Consistency concepts

Methods to ensure consistency in a distributed system

none

Eventual Consistency
Immediate Consistency

can be specified for read operations

Immediate Consistency

none

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

ACID across one or more tables within a single AWS account and region

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

atomic operations within a single collection possible

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

by using IndexedDB, SQL.JS or proprietary FileStorage

yes

Serialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.

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 can be defined via the AWS Identity and Access Management (IAM)

Access rights for users and roles

Access rights for users can be defined per table

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