For an enterprise, is [Collibra](https://saaskart.co/software/collibra) worth it?
What are the gaps in [Collibra](https://saaskart.co/software/collibra), cost, complexity, or UX?
How hard is driving steward and business adoption of [Collibra](https://saaskart.co/software/collibra)?
How good is privacy and policy management in [Collibra](https://saaskart.co/software/collibra)?
How heavy was implementing [Collibra](https://saaskart.co/software/collibra)?
How does quote-based pricing on [Collibra](https://saaskart.co/software/collibra) work by module?
How complete is lineage in [Collibra](https://saaskart.co/software/collibra)?
How good is the data catalog in [Collibra](https://saaskart.co/software/collibra)?
For catalog and governance, is [Collibra](https://saaskart.co/software/collibra) or Alation better?
Enterprises, is [Collibra](https://saaskart.co/software/collibra) worth it as a data governance system of record?
For a data team, is [Great Expectations](https://saaskart.co/software/great-expectations) worth adopting?
What are the gaps in [Great Expectations](https://saaskart.co/software/great-expectations), UX, setup, or scale?
How much maintenance does [Great Expectations](https://saaskart.co/software/great-expectations) need over time?
Do you use [Great Expectations](https://saaskart.co/software/great-expectations) alongside or instead of dbt tests?
How useful are the auto data docs in [Great Expectations](https://saaskart.co/software/great-expectations)?
How well does [Great Expectations](https://saaskart.co/software/great-expectations) integrate with Airflow?
Is GX Cloud worth it over open-source [Great Expectations](https://saaskart.co/software/great-expectations)?
How steep is the learning curve for [Great Expectations](https://saaskart.co/software/great-expectations)?
For data testing, is [Great Expectations](https://saaskart.co/software/great-expectations) or Soda easier?
Is [Great Expectations](https://saaskart.co/software/great-expectations) still the go-to open-source data validation tool?
