Analytical workloads have been evolving for quite some time and Molecula is building on two […]
Who are the users of the Molecula platform?
Anyone who has very large historical data sets or large volumes of streaming data, that […]
What types of workloads do you support?
Molecula was initially designed to solve an ad hoc machine-scale analytics and ML use cases […]
How do you query Molecula?
Molecula 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 Molecula?
Molecula is best with large, fragmented, disparate data sets that have complex analytical or computational […]
How is Molecula used by ML engineers/data scientists?
There are five stages in the machine learning life cycle where data scientists are using […]
How is Molecula used by business analysts?
Molecula has an ecosystem of Data Taps that allow end users to work directly in […]
What types of queries is Molecula good at?
Complex WHERE clauses, counts, sorts, top-n, multi-field GROUP BY, JOIN, and any combination of these. […]