Denodo Technologies, Inc.
 | |
| Privately held | |
| ISIN | 🆔 |
| Industry | Computer software |
| Founded 📆 | 1999 |
| Founder 👔 | |
| Headquarters 🏙️ | Palo Alto, CA, USA A Coruña, Spain Madrid, Spain London, UK New York City, USA Chicago, USA Boise, USA Munich, Germany Chennai, India |
Area served 🗺️ | Worldwide |
| Products 📟 | Denodo Platform |
| Members | |
Number of employees | |
| 🌐 Website | www.denodo.com |
| 📇 Address | |
| 📞 telephone | |
Denodo Technologies is a software company with headquarter located in Palo Alto, CA (USA) and offices in Coruña (Spain), Madrid (Spain), London (UK), New York City (USA), Chicago (USA), Boise (USA), Munich (Germany) and Chennai (India). Denodo provides software for data virtualization, an innovative agile data integration technology. Denodo’s data virtualization software platform is called Denodo Platform. Denodo also provides support, training, and services besides its core technology platform.
History[edit]
The initial research at Universidad de A Coruña focused on extracting data from web sites which are, typically, designed for human browsing and navigation and not automated data extraction. However, Angel Viña, founder and CEO of Denodo, realized that the innovations developed for web site data extraction could also be applied to the many different data sources being used within large organizations i.e. traditional databases and data warehouses, web services, files, and, more recently, the emerging big data stores. All large organizations have a plethora of these different data sources and, often, they become data silos which can only be integrated by copying the data to a more centralized location.
The focus of Denodo's development activities grew to encompass Fast Data Strategy comprising support for big data sources, cloud deployment model, self-service data discovery, data lineage, and unparalled performance through dynamic query optimization.
The key driver behind the technology and engineering work continues to be led by Angel Viña and Alberto Pan, CTO at Denodo, although others have since joined Denodo to help with development and innovation activities. This work is supported by Denodo's performance engineering lab staffed by six PhD's.
Data virtualization is growing in acceptance as the most favorable form of data integration for fast data strategy purposes.
Products[edit]
Denodo offers three different flavors of its software product:
Denodo Platform 6.0: Denodo Platform 6.0, Denodo’s core on premise product accelerates fast data strategy with data virtualization by delivering breakthrough performance in big data, cloud, logical data warehouses, and operational scenarios. Some of the key features of Denodo Platform 6.0 are Dynamic Query Optimizer, Self-Service Data Discovery and Exploration, Big Data Connectivity including Amazon Redshift, Apache Spark, HP Vertica and Cloudera Impala, Intelligent Caching, State-of-the-art Performance Optimizer, Enterprise-grade Security and Unified Data and Metadata Management.
Denodo Platform for AWS: Denodo Platform for AWS offers the same features as Denodo Platform 6.0 in a ready to use model within Amazon AWS cloud and thus avoiding additional installation and setup.
Denodo Express: Denodo Express offers the standard features of the award-winning Denodo Platform in an easy-to-use format. It is free to download, fast to deploy, and easy to use.
Customers[edit]
Denodo customer base spans every major industry across the world. Currently Denodo Platform has been deployed in Biotech, Energy, Financial Services, Healthcare, Insurance, Manufacturing, Pharma, Public Sector, Retail, Technology and Telecommunication industries.
Some of the notable Denodo customers are Nationwide, CIT, AAA, Autodesk, Biogen, Seagate, Biostorage, United Healthcare, Vodafone, Logitech etc.
Competitors[edit]
Denodo product’s main competitors include Cisco Composite Software, Informatica PowerCenter, SAP HANA, IBM Infosphere and Red Hat JBoss.
References[edit]
This article "Denodo" is from Wikipedia. The list of its authors can be seen in its historical. Articles copied from Draft Namespace on Wikipedia could be seen on the Draft Namespace of Wikipedia and not main one.
