DBMS > H2GIS vs. Netezza vs. Realm vs. Snowflake vs. STSdb

System Properties Comparison H2GIS vs. Netezza vs. Realm vs. Snowflake vs. STSdb

Editorial information provided by DB-Engines

Name

Description

Spatial extension of H2

Data warehouse and analytics appliance part of IBM PureSystems

A DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data

Cloud-based data warehousing service for structured and semi-structured data

Key-Value Store with special method for indexing

optimized for high performance using a special indexing method

Primary database model

Secondary database models

Relational DBMS

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

Score	0.08
Rank	#368	Overall
	#7	Spatial DBMS

Score	8.59
Rank	#45	Overall
	#29	Relational DBMS

Score	7.41
Rank	#52	Overall
	#8	Document stores

Score	130.36
Rank	#8	Overall
	#5	Relational DBMS

Score	0.10
Rank	#357	Overall
	#51	Key-value stores

Website

www.h2gis.org

www.ibm.com/products/netezza

realm.io

www.snowflake.com

github.com/STSSoft/STSdb4

Technical documentation

www.h2gis.org/docs/home

realm.io/docs

docs.snowflake.net/manuals/index.html

Developer

CNRS

IBM

Realm, acquired by MongoDB in May 2019

Snowflake Computing Inc.

STS Soft SC

Initial release

2013

2000

2014

2011

Current release

4.0.8, September 2015

License

Commercial or Open Source

Open Source

LGPL 3.0

commercial

Open Source

commercial

Open Source

GPLv2, commercial license available

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

Java

Server operating systems

Linux

included in appliance

Android
Backend: server-less
iOS
Windows

hosted

Windows

Data scheme

yes

support of semi-structured data formats (JSON, XML, Avro)

yes

Typing

predefined data types such as float or date

yes

primitive types and user defined types (classes)

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

yes

APIs and other access methods

JDBC
ODBC
OLE DB

CLI Client
JDBC
ODBC

.NET Client API

Supported programming languages

Java

C
C++
Fortran
Java
Lua
Perl
Python
R

.Net
Java

with Android only
Objective-C
React Native
Swift

JavaScript (Node.js)
Python

C#
Java

Server-side scripts

Stored procedures

yes

based on H2

yes

runs within the applications so server-side scripts are unnecessary

user defined functions

Triggers

yes

Change Listeners

similar concept for controling cloud resources

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

none

yes

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

based on H2

Source-replica replication

none

yes

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes, multi-version concurrency control (MVCC)

yes

Durability

Support for making data persistent

yes

In-memory capabilities

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

yes

In-Memory realm

User concepts

Access control

yes

based on H2

Users with fine-grained authorization concept

yes

Users with fine-grained authorization concept, user roles and pluggable authentication

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