ALGEBRAIX Vs. Conventional Technologies

Unique Flexibility to Analyze Data

ALGEBRAIX technology leverages the power of mathematical metadata and mathematical equivalence to manage data independently of both structures and locations. The resulting flexibility and simplicity open tremendous opportunities for enterprises to provide products and applications with breakthrough analytic capabilities such as the ability to dynamically connect and relate semantic data, Big Data and relational data for real-time social network analysis.

Key competitive differentiators of ALGEBRAIX technology include: data structure independence, cross-silo connect-and-query data access, adaptive self-optimizations and managing data across distributed heterogeneous computing platforms.

To achieve acceptable query performance, data-management systems based on conventional technologies require:	In stark contrast, data-management systems based on ALGEBRAIX technology:
Costly and time-consuming application-specific manual designs of both logical and physical data structures	Exploit a Universal Data Model to dynamically translate between different logical and physical data structures
Costly and time-consuming data extract, transform and load procedures to structure and index source data	Provide a cross-silo “connect-and-query” data access capability to enable any defined and identified data source to be queried independently of its logical or physical data structures
Frequent manual “tuning” or restructuring of queries and source data	Adaptively optimize query performance based on actual data, query patterns and resource usage at run-time
That source data be collected in homogeneous local application-specific data silos	Adaptively partition data and query across heterogeneous global computing networks to provide federated data access and Advanced Analytics in the Cloud

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