DBMS > AlaSQL vs. Amazon Redshift vs. GeoSpock vs. Ingres

System Properties Comparison AlaSQL vs. Amazon Redshift vs. GeoSpock vs. Ingres

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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

Large scale data warehouse service for use with business intelligence tools

Spatial and temporal data processing engine for extreme data scale

Well established RDBMS

Primary database model

Document store
Relational DBMS

Relational DBMS

Secondary database models

Time Series 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	15.25
Rank	#38	Overall
	#23	Relational DBMS

Score	3.63
Rank	#79	Overall
	#43	Relational DBMS

Website

alasql.org

aws.amazon.com/redshift

geospock.com

www.actian.com/databases/ingres

Technical documentation

github.com/AlaSQL/alasql

docs.aws.amazon.com/redshift

docs.actian.com/ingres

Developer

Andrey Gershun & Mathias R. Wulff

Amazon (based on PostgreSQL)

GeoSpock

Actian Corporation

Initial release

2014

2012

1974

originally developed at University Berkely in early 1970s

Current release

2.0, September 2019

12.0, July 2024

License

Commercial or Open Source

Open Source

MIT-License

commercial

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

JavaScript

Java, Javascript

Server operating systems

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

hosted

AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows

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.

but tools for importing/exporting data from/to XML-files available

Secondary indexes

restricted

temporal, categorical

yes

SQL

Support of SQL

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

yes

does not fully support an SQL-standard

ANSI SQL for query only (using Presto)

yes

APIs and other access methods

JavaScript API

JDBC
ODBC

JDBC

.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)

Supported programming languages

JavaScript

All languages supporting JDBC/ODBC

Server-side scripts

Stored procedures

user defined functions

in Python

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Automatic sharding

horizontal partitioning

Ingres Star to access multiple databases simultaneously

Replication methods

Methods for redundantly storing data on multiple nodes

none

yes

Ingres Replicator

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

informational only, not enforced by the system

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

MVCC

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

fine grained access rights according to SQL-standard

Access rights for users can be defined per table

fine grained access rights according to SQL-standard

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