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Ingres Corporation is the world's leading provider of business open source services and solutions for companies of all sizes.
Ingres's mission is to supply the market with best services and solutions for information management at a price point that enables customers, both large and small, and partners to reduce their total cost of ownership.
Based in Redwood City, California, Ingres is a young and dynamic company. Ingres was formed as a partnership between computer Associates and Garnettt & Helfrich Capital with a product range that has loyal customer base, many of whom have been using the technology for more than a decade. Ingres is a global company with offices in North America, Europe, and Asia to support its widespread community of users.
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Business Open Source Database
Open source database solutions that provide enterprise-level functionality, services and support are revolutionizing today's marketplace. Companies no longer need to pay excessive licensing fees for the right to use a highly scalable, highly available, and high-performance database platform. Open source allows companies to deploy flexible, less complex solutions that are not bloated with excess functionality allowing database engineers and administrators to be more productive and able to focus on more mission-critical projects. An open source platform gives enterprise customers and developers the freedom to choose the right database solution for their specific business need.
Ingres 2006 Delivers a Completely Unique Solution:
The power of an enterprise strength database management system coupled with the low cost and ease of use of open source software
Ingres 2006 platform has an updated look and feel:
Ingres 2006 release 2 is an update focused on providing a robust, easy to use, easy to install release for new and existing customers while adding a number of key features to further expand development support for Ingres.
Increased focus on Ease of Use, Supportability
- Simplified Install Interface
- Enhanced VDBA Usability Look–n-Feel
- Ability to backup data online or offline and customize recovery process
- IPV6 Support
- Built-in redundancy allows workload to be spread across multiple nodes in a cluster with
- Automatic fail-over
- Product demos
Easier implementation process
- Only one file to download
- Five-minute installation process
- Simplified install interface
Increased focus on Application Development Support
- Full JDBC XA Support
- Unicode support
- ANSI Date/ Time support
- ADA support
- Enhanced / Updated connectivity tools and driver
- Eclipse DTP toolkit
- Hibernate Support
- Python
- Perl
- PHP
- Net
- ODBC
- JDBC
- Embedded SQL in C, C++, Fortran and Cobol
- ABF
- OpenAPI
- OpenROAD
- JBoss Support
The Fastest Query Optimization in Open Source
- Parallel Query Support allows complex queries to be optimized and executed in parallel
Improved Performance and Scalability
- Key Range Table Partitioning enables parallel I/O operations across partitions
- High Availability Cluster Support for Linux and VMS
Better Web Integration
- Ingres 2006 provides support for all of the latest web application development technologies as well as supporting traditional standards based application development and deployment technologies
More opportunity to take advantage of the power and flexibility of the Ingres database solution
- World-class support from knowledgeable Ingres experts
- Dedicated consultants available to provide premium services
- Catalogue of training and educational courses
These new technology features, coupled with Ingres world-class services and support, provide customers with the ability to deploy a reliable and powerful open source database solution to protect their mission critical data. The solution is easy-to-deploy, easy-to-use and easy-to-manage, giving enterprise customers a solid low-cost database solution.
Platform Support
- Linux (X86, X86-64 & Itanium)
- Microsoft Windows (X86 )
- Sun Solaris (SPARC & X86-64)
- IBM AIXHP-UX (PArisc & Itanium)
- HP OpenVMS (Alpha )
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Analyzing a query with Visual DBA
Simplified Linux Installation
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