Endeca’s MDEX Engine Review

Endeca uses a powerful and revolutionary semi-structured database to provide advanced capabilities for high-performance search and information access across the entire spectrum of structured and unstructured enterprise data.

The MDEX engine mixes search, navigation and exploration to dig and guide the user to discover.  Endeca’s MDEX engine is used across the web in such sites as www.ESPN.com, www.Walmart.com and www.HomeDepot.com.

The MDEX engine enables the following features to provide a full sourced search and discovery solution:

  • Integrated API: All queries and responses leverage a unified API, so you’ll always get the same answer in response to a request, whether entering search words or selecting options from a menu
  • Semi-Structured Database: Each record has its own set of attributes based on the original source data as well as any metadata added by Endeca during data integration, simplifying modelling requirements and ensuring new content can easily be added in the future.
  • Generational Data Updates: New information can be added without impairing application up-time, ensuring your data is always current and available
  • Security: For secure search requirements, access credentials can be indexed and filters applied to restrict user access to content.
  • Performance and Scalability: Endeca systems run on 64-bit platforms, support a distributed model for large scale applications, and allow queries to be threaded to take advantage of multi-core hardware architectures
  • End-to-End Web Services Support: MDEX Engine API responds to queries from any application through a SOAP web service. Additionally, a web service is provided for loading data and configuration meta-data to the MDEX Engine
  • Extensibility: New features can be added through the XQuery programming language and exposed to applications as web services. XQuery extensions to the MDEX Engine keep business logic separated from application presentation logic and execute the data-intensive operations efficiently and consistently at the data tier servers.

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