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Introducing the Dynamic Data Warehouse from Infoworks that is light years ahead of the competition


Infoworks will be attending Strata+Hadoop World 2017

Infoworks.io, Dyanamic Data Warehousing on Hadoop+Spark will be attending Strata+Hadoop World 2017 on March 13-16, 2017 in San Jose, CA.

Jan 23, 2017

Infoworks.io Inc., a pioneer of modern data warehousing on Hadoop, announced two key additions to its go-to-market team. Grant Bodley joins as vice president of global sales, and Jeff Monk joins as director of sales ... Read More

Sep 27, 2016

"Startup Infoworks, exiting from stealth mode, debuted its Infoworks Dynamic Data Warehousing platform, a system that allows businesses to support all types of business analytics on a single Hadoop cluster." Read More

Oct 15, 2015
Automatically crawls enterprise databases
Automatically ingests the data into Hadoop and keeps it continuously synchronized
Organizes the data into flexible, high performance data warehouses, cubes and other data models to support a multitude of enterprise use-cases
Supports high performance, concurrent and interactive access for users


Large number of use cases
Huge volumes of data
New types of data sources
New types of analytics
Enterprises today are challenged by the rapidly growing number of analytics use cases and the increasing volume and variety of data. Existing methodologies and systems are proving to be too slow, inflexible, and expensive to meet these emerging needs. Through automation and flexible data organization, the DDW platform addresses these challenges and dramatically reduces the time to analytics insights for new use cases, while also reducing the need for specialized expertise.
The Infoworks Dynamic Data Warehouse is the only platform that addresses all these challenges


Automatically prepare, organize and manage all data
Continuous incremental synchronization with existing data warehouses and databases
Provide high-performance interactive data access to users
Manage data retention and security centrally
Modernize and augment analytics infrastructure rapidly with minimal skilled resources