DBMS > H2GIS vs. Snowflake vs. SQream DB vs. TimesTen

System Properties Comparison H2GIS vs. Snowflake vs. SQream DB vs. TimesTen

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Editorial information provided by DB-Engines

Name

Description

Spatial extension of H2

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

a GPU-based, columnar RDBMS for big data analytics workloads

An in-memory SQL relational database that delivers microsecond response and high throughput for OLTP applications. TimesTen can be deployed as a standalone database or as a cache to a backend Oracle database.

Primary database model

Spatial DBMS

Relational DBMS

Secondary database models

Relational DBMS

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Trend Chart

Score	0.00
Rank	#385	Overall
	#7	Spatial DBMS

Score	133.72
Rank	#7	Overall
	#5	Relational DBMS

Score	0.62
Rank	#234	Overall
	#109	Relational DBMS

Score	1.26
Rank	#164	Overall
	#75	Relational DBMS

Website

www.h2gis.org

www.snowflake.com

sqream.com

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

Technical documentation

www.h2gis.org/docs/home

docs.snowflake.net/manuals/index.html

docs.sqream.com

docs.oracle.com/en/database/other-databases/timesten/index.html

Developer

CNRS

Snowflake Computing Inc.

SQream Technologies

Oracle

originally founded in HP Labs it was acquired by Oracle in 2005

Initial release

2013

2014

2017

1998

Current release

2022.1.6, December 2022

Release 22.1

License

Commercial or Open Source

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

Java

C++, CUDA, Haskell, Java, Scala

Server operating systems

hosted

Linux

IBM AIX Power PC 64-bit
Linux arm64
Linux x86-64
Solaris SPARC 64
Solaris SPARC/x86
Solaris x86-64

Data scheme

yes

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

yes

Typing

predefined data types such as float or date

yes

yes, ANSI Standard SQL Types

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.

yes

Secondary indexes

yes

SQL

Support of SQL

yes

APIs and other access methods

CLI Client
JDBC
ODBC

.Net
JDBC
ODBC

ODBC
ODP.NET
Oracle Call Interface (OCI)
Pro*C/C++ programming interfaces
SQL and PL/SQL via JDBC

Supported programming languages

Java

JavaScript (Node.js)
Python

C++
Java
JavaScript (Node.js)
Python

C
C++
Java
Node.js
PL/SQL
Python

Server-side scripts

Stored procedures

yes

based on H2

user defined functions

user defined functions in Python

PL/SQL

Triggers

yes

similar concept for controling cloud resources

Partitioning methods

Methods for storing different data on different nodes

none

yes

horizontal and vertical partitioning

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

based on H2

yes

none

Multi-source replication
Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Immediate Consistency or Eventual Consistency depending on configuration

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

by means of logfiles and checkpoints

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

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

fine grained access rights according to SQL-standard

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