Analytical workloads have been evolving for quite some time and FeatureBase is building on two […]
Usage
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future of real-time data engineering.
Who are the users of FeatureBase?
Anyone who has very large historical data sets or large volumes of streaming data, that […]
What types of workloads do you support?
FeatureBase was initially designed to solve an ad hoc real-time analytics and ML use cases […]
How do you query FeatureBase?
FeatureBase is primarily queried through SQL, even if you are using our API, a data […]
What type of use cases are you typically seeing implemented with FeatureBase?
FeatureBase is best with large, fragmented, disparate data sets that have complex analytical or computational […]
How is FeatureBase used by ML engineers/data scientists?
There are four stages in the machine learning life cycle where data scientists are using […]
How is FeatureBase used by business analysts?
FeatureBase has an ecosystem of data taps that allow end users to work directly in […]
What types of queries is FeatureBase good at?
Complex WHERE clauses, counts, sorts, top-n, multi-field GROUP BY, JOIN, and any combination of these. […]