So what do enterprises really want? Simply stated they want to ask questions of their data they couldn’t ask before…and they want to do it without having to wait on IT. Data exists in various data silos yet generally remains unavailable for analysis. Consistently asking questions and extracting value from structured and unstructured data sources represents the ‘holy grail’ for data analytics. Next Generation Data Federation, leveraging existing investments in BI tools, delivers the ability to explore data absent the overhead of traditional management techniques. In short, they need a new way to access all data regardless of the type, volume, and platform.
A revolutionary approach to data federation which fundamentally differs from prior attempts by:
Next Generation Federation delivers on a vision that is fundamentally different from previous attempts of data federation, data virtualization, and business intelligence (BI) processing approaches for Big Data.
“Cirro appears to have come up with an offering that compliments existing Hadoop providers and is differentiated from existing Hadoop analytics offerings.”
The 451 Group
Today’s provocative data questions are about things we don’t already know. Sometimes it’s a hunch, intuition, or simply questions previously impossible to ask across heterogeneous data sources. Cirro solves this challenge by offering an elegant solution that enables end users to ask penetrating business questions that deliver significant business impact; ‘lift and leverage’. Cirro supports creative mash-up style analytics with big data and traditional data sources. Our approach for analytic data services, in a world where data is distributed, structured, and unstructured, differs from other market approaches by ‘taking the processing to the data’ where it resides without the need for a semantic layer.
Competitive alternatives include Hadoop-only data analytic platforms and data virtualization products. The problem with Hadoop -only data analytic platforms is they require all data (both structured and unstructured) be loaded into a single Hadoop cluster and then accessed by a proprietary tool. This approach of bringing the ‘data to the processing’ is not practical as it is neither time or cost efficient. In addition, this approach does not leverage the existing investments a customer has made in their data warehousing and business intelligence infrastructures.
The approach of data virtualization does deliver on the idea of federating the processing of queries across heterogeneous platforms but does so at a heavy cost in terms of price of the solution, initial setup, administration and management rendering this approach expensive and difficult to scale. Fundamentally, these challenges in data virtualization have prevented high levels of market adoption.
Cirro liberates an organization to ask the ‘unanswered questions’ of all you data; Hadoop, No SQL and RDBMS whether on premise, or in public or private clouds. Cirro represents a new way to integrate all data sources within an entire ecosystem that is universally accessible by anyone via their current BI tools. Built and designed for Big Data, this revolutionary Next Generation Data Federation approach helps organizations overcome a major hurdle to Big Data analysis; on-the-fly self-service data exploration and analysis across their entire data ecosystem.