While big data is getting a lot of hype, users still rely on the data warehouse for near real-time data
What’s not clear is whether most of the respondents are citing ETL batch-load rates or trickle-feed rates. Given the preponderance of data warehousing implementers, it’s probably the former since trickle feeding, even in a data warehousing environment, is still fairly rare.
From Report: “The fact that the top two choices here define a modern BI architecture in which a BI tool accesses an analytical database makes me wonder how many respondents confuse operational analytics with faster queries. Operational analytics is not about faster queries – it’s about applying queries to fast-moving data.”
These results show there is a clear need for Vitria to enhance their market presence among these buyers. Since this market is still in its infancy, Vitria should focus their messaging around enhancing audience awareness in this space.
For 2nd bullet:Interesting to note because you might expect a real-time system processing thousands of records to pose scalability and performance issues for most users