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DBMS > AlaSQL vs. GeoSpock vs. Oracle Rdb vs. SQL.JS

System Properties Comparison AlaSQL vs. GeoSpock vs. Oracle Rdb vs. SQL.JS

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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

Spatial and temporal data processing engine for extreme data scale

Port of SQLite to JavaScript

Primary database model

Document store
Relational DBMS

Relational DBMS

Relational DBMS

Relational DBMS

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	1.08
Rank	#184	Overall
	#85	Relational DBMS

Score	0.53
Rank	#252	Overall
	#116	Relational DBMS

Website

geospock.com

www.oracle.com/database/technologies/related/rdb.html

Technical documentation

github.com/AlaSQL/alasql

www.oracle.com/database/technologies/related/rdb-doc.html

sql.js.org/documentation/index.html

Developer

Andrey Gershun & Mathias R. Wulff

GeoSpock

Oracle, originally developed by Digital Equipment Corporation (DEC)

Alon Zakai

enhancements implemented by others

Initial release

2014

1984

2012

Current release

2.0, September 2019

7.4.1.1, 2021

License

Commercial or Open Source

Open Source

MIT-License

commercial

commercial

Open Source

Cloud-based only

Only available as a cloud service

no

yes

no

no

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

HP Open VMS

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

Data scheme

schema-free

yes

Flexible Schema (defined schema, partial schema, schema free)

yes

Typing

predefined data types such as float or date

no

yes

yes

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.

no

no

no

no

Secondary indexes

no

temporal, categorical

yes

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)

yes

yes

SQL-92 is not fully supported

APIs and other access methods

JavaScript API

JDBC

JavaScript API

Supported programming languages

JavaScript

JavaScript

Server-side scripts

Stored procedures

no

no

no

Triggers

yes

no

no

Partitioning methods

Methods for storing different data on different nodes

none

Automatic sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

none

none

MapReduce

Offers an API for user-defined Map/Reduce methods

no

no

no

no

Consistency concepts

Methods to ensure consistency in a distributed system

none

Immediate Consistency

Immediate Consistency

none

Foreign keys

Referential integrity

yes

no

yes

yes

Transaction concepts

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

yes

only for local storage and DOM-storage

no

yes, on a single node

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes

Durability

Support for making data persistent

yes

by using IndexedDB, SQL.JS or proprietary FileStorage

yes

yes

no

except by serializing a db to a file

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

no

no

yes

User concepts

Access control

no

Access rights for users can be defined per table

no

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More resources

DB-Engines blog posts

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1 December 2014, Matthias Gelbmann

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