Dynamic Data Virtualization Tools

K2view data virtualization tools simplify data access and integration, from a wide range of underlying data sources, formats, and technologies.

Live data is accessed through a logical abstraction layer whose schema includes all relevant tables for a business entity (customer, product, loan, etc.).
Distributed queries are executed against the data sources, regardless of their technologies, with sub-second response time.
The logical layer serves as a common language between data producers and consumers, facilitating intuitive access to enterprise data.

With K2view Dynamic Data Virtualization tools, data teams decide which data will be virtualized and which will be persisted in a Micro-Database™ along the way. This is an advantage when you need to:

Control tradeoffs between query performance and data freshness.
Minimize the load on your source systems.
Enrich your source data.
Apply Reverse ETL to update your source systems with insights from your analytical workloads.
Log changes made to an entity, to analyze it over time.

K2view enables authorized data consumers with real-time access to the data they need, without requiring an understanding of the underlying data sources.

Adapters are provided to all relational and non-relational DBs and file systems.
Data can be queried ("pulled") via APIs or JDBC, or delivered ("pushed") via data streaming or messaging methods.
Dynamic data virtualization tools assure unmatched high-speed, high-scale data delivery, from sources to targets.

By combining in-memory caching and business entity data consolidation, K2view achieves sub-second response times even for very complex queries that span multiple disparate sources.