DBMS > AlaSQL vs. Rockset vs. SAP IQ vs. SpatiaLite

System Properties Comparison AlaSQL vs. Rockset vs. SAP IQ vs. SpatiaLite

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Editorial information provided by DB-Engines

Name

Description

JavaScript DBMS library

A scalable, reliable search and analytics service in the cloud, built on RocksDB

Columnar RDBMS optimized for Big Data analytics

Spatial extension of SQLite

Primary database model

Document store
Relational DBMS

Document store

Relational DBMS

column-oriented

Spatial DBMS

Secondary database models

Relational DBMS
Search engine

Relational 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	0.82
Rank	#212	Overall
	#36	Document stores

Score	2.64
Rank	#108	Overall
	#52	Relational DBMS

Score	1.63
Rank	#146	Overall
	#3	Spatial DBMS

Website

alasql.org

rockset.com

www.sap.com/products/technology-platform/sybase-iq-big-data-management.html

www.gaia-gis.it/fossil/libspatialite/index

Technical documentation

github.com/AlaSQL/alasql

docs.rockset.com

help.sap.com/docs/SAP_IQ

www.gaia-gis.it/gaia-sins/spatialite_topics.html

Developer

Andrey Gershun & Mathias R. Wulff

Rockset

SAP, formerly Sybase

Alessandro Furieri

Initial release

2014

2019

1994

2008

Current release

16.1 SPS04, April 2019

5.0.0, August 2020

License

Commercial or Open Source

Open Source

MIT-License

commercial

Open Source

MPL 1.1, GPL v2.0 or LGPL v2.1

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)

hosted

AIX
HP-UX
Linux
Solaris
Windows

server-less

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

dynamic typing

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.

ingestion from XML files supported

Secondary indexes

all fields are automatically indexed

yes

SQL

Support of SQL

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

Read-only SQL queries, including JOINs

yes

APIs and other access methods

JavaScript API

HTTP REST

ADO.NET
JDBC
ODBC
RESTful HTTP API

Supported programming languages

JavaScript

Go
Java
JavaScript (Node.js)
Python

C
C#
C++
Java
Perl
PHP
Python
Ruby

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Automatic sharding

shared disk or shared nothing architectures with SAP IQ Multiplexer

none

Replication methods

Methods for redundantly storing data on multiple nodes

none

yes

SAP/Sybase Replication Server

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Hadoop integration

Consistency concepts

Methods to ensure consistency in a distributed system

none

Eventual Consistency

Immediate 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

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 organizations can be defined via Rockset console

fine grained access rights according to SQL-standard

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More resources

DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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