DB-EnginesGraphDB bannerEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Dataupia

Dataupia System Properties

 

Editorial information provided by DB-Engines
NameDataupia
DescriptionData warehouse appliance
Primary database modelRelational DBMS
Secondary database modelsKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#242  Overall
#114  Relational DBMS
Websitewww.dataupia.com
License infoCommercial or Open Sourcecommercial
Cloud-based infoOnly available as a cloud serviceno

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Dataupia
Recent citations in the news

Foster Hinshaw Back in Command at Dataupia; News of Company's Death Greatly Exaggerated, He Says
17 November 2009, Xconomy

The 1-petabyte barrier is crumbling
25 August 2008, NetworkWorld.com

HadoopDB: An Open Source Parallel Database
28 July 2009, O'Reilly Radar (blog)

Fairhaven Capital Raises $250 Million for Early-Stage Technologies and Theme-Driven Investing Philosophy
28 October 2008, Xconomy

Data warehouse 2.0
2 May 2008, NetworkWorld.com

provided by Google News




Share this page

Featured Products

Couchbase logo

SQL + JSON + NoSQL.
Power, flexibility & scale.
All open source.
Get started now.

RavenDB logo

Runs on Windows, Linux, Raspberry Pi. Easy to Operate, Fast Performance.
APIs for JS, .NET, Python.
Take a Free Download

Redis logo

Start now with Redis Cloud
Secure, highly available Redis as a serverless, hosted, fully managed cloud service.
Sign up here.

Neo4j logo

Get your step-by-step guide comparing RDBMS to graph databases, including data models, query languages, and deployment strategies.

Present your product here