This GigaOm Radar report analyzes the top data virtualization platforms in the market, weighs the key criteria and evaluation metrics used to assess these solutions, and identifies important technologies to consider for the future.
This report provides an overview of the leading data virtualization platforms in the market today and recognizes platforms that excel in particular categories. It is relevant to both organizations looking to extend investments in existing platforms as well as to those yet to dip their toe in the data virtualization waters.
Get the information you need to support your data virtualization strategy and platform selection including:
Learn your best path forward to consolidate disparate data sources logically; manage, manipulate, and present a unified view of data to the downstream consumer; and how years of progress have yielded a solution, in the form of data virtualization platforms.
By 2022, 60% of all organizations will implement data virtualization as one key delivery style in their data integration architecture.
AtScale powers the analysis used by the Global 2000 to make million-dollar business decisions. The company’s Intelligent Data Virtualization platform provides Cloud OLAP, Autonomous Data Engineering™ and a Universal Semantic Layer™ for fast, accurate data-driven business intelligence and machine learning analysis at scale. For more information, visit www.atscale.com.
AtScale provides the premier platform for data architecture modernization. AtScale connects you to live data using one set of semantics without having to move any data.
Leveraging AtScale’s Autonomous Data Engineering™ query performance is improved by order of magnitude. AtScale inherits native security and provides additional governance and security controls to enable self-service analytics with consistency, safety and control. AtScale’s Intelligent Data Virtualization™ and intuitive data modeling enables access to new data sources and platforms without ETL and or needing to call in data engineering.