Alooma vs. Rivery.io

Very appropriate for managing an ELT stack -- Alooma handles the 'E' and 'L' pieces very well. Due to the way transformation is setup, it is more on the lightweight side of things and thus works for this kind of stack. For more traditional ETL stacks, Alooma would probably not be the right fit.

Incentivized

• Transformation of data before entering the data warehouse -- allows for a consistent/understandable schema for analytics teams.
• Adding of additional data sources: Alooma has a large library of pre-built, common 3rd party vendors for which data is often needed to be ETL-ed.

Incentivized

• More tools on managing the data warehouse itself. Although great on the ingest and transformation of data, more help provided by the tool on managing the outputs would be welcome.
• Increase possibilities in the transformation step, rather than single event transformations.

Incentivized

Haven't used the alternatives, since Alooma was one of the earlier ones to the market. From a cursory viewing, however, the features seem to match relatively similarly.

Incentivized

• Allowing for additional data sources to more automation capability around monitoring the business is a huge ROI

Incentivized