DBMS > AlaSQL vs. H2GIS vs. Microsoft Azure SQL Database vs. Netezza vs. Transwarp Hippo

System Properties Comparison AlaSQL vs. H2GIS vs. Microsoft Azure SQL Database vs. Netezza vs. Transwarp Hippo

Editorial information provided by DB-Engines

Name

Description

JavaScript DBMS library

Spatial extension of H2

Database as a Service offering with high compatibility to Microsoft SQL Server

Data warehouse and analytics appliance part of IBM PureSystems

Cloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets

Primary database model

Document store
Relational DBMS

Spatial DBMS

Relational DBMS

Vector DBMS

Secondary database models

Relational DBMS

Document store
Graph DBMS
Spatial 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	0.08
Rank	#368	Overall
	#7	Spatial DBMS

Score	76.78
Rank	#16	Overall
	#11	Relational DBMS

Score	8.59
Rank	#45	Overall
	#29	Relational DBMS

Score	0.05
Rank	#386	Overall
	#14	Vector DBMS

Website

alasql.org

www.h2gis.org

azure.microsoft.com/en-us/products/azure-sql/database

www.ibm.com/products/netezza

www.transwarp.cn/en/subproduct/hippo

Technical documentation

github.com/AlaSQL/alasql

www.h2gis.org/docs/home

docs.microsoft.com/en-us/azure/azure-sql

Developer

Andrey Gershun & Mathias R. Wulff

CNRS

Microsoft

IBM

Initial release

2014

2013

2010

2000

2023

Current release

V12

1.0, May 2023

License

Commercial or Open Source

Open Source

MIT-License

Open Source

LGPL 3.0

commercial

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

C++

Server operating systems

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

hosted

Linux

included in appliance

Linux
macOS

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

yes

Vector, Numeric and 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

Secondary indexes

yes

SQL

Support of SQL

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

yes

APIs and other access methods

JavaScript API

ADO.NET
JDBC
ODBC

JDBC
ODBC
OLE DB

RESTful HTTP API

Supported programming languages

JavaScript

Java

.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby

C
C++
Fortran
Java
Lua
Perl
Python
R

C++
Java
Python

Server-side scripts

Stored procedures

yes

based on H2

Transact SQL

yes

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

yes

based on H2

yes, with always 3 replicas available

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

none

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, multi-version concurrency control (MVCC)

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

yes

based on H2

fine grained access rights according to SQL-standard

Users with fine-grained authorization concept

Role based access control and fine grained access rights

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