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Components Feedback
*
Considering the features outlined in
the article
, please select how likely you'd be to use each of them.
Analytics
:
Analytics/Observability for Python
- a logging and metrics platform with tight Python and Pydantic integration, designed to make the data flowing through your application useful for both engineering and business analytics
S3 Gateway
:
Data Gateway for object stores
- Add validation, transformation and cataloguing in front of object stores like S3, schema defined in Pydantic models then validated by our Rust service
Other Gateway
:
Data Gateway for data warehouses
- the same service as above, but running next to your existing data warehouse
Schema Cat
:
Schema Catalog
- a single source of truth for Pydantic schemas, tracking their changes and integrating with our other tools and your wider platform
Dashboards
:
Dashboards and UI powered by Pydantic models
- a managed platform to deploy and control dashboards, auxiliary apps and internal tools where everything from UI components (like forms and tables) to database schema would be defined in Python
1
meaning
would not use
5
meaning
very likely to use
1 - won't use
2
3
4
5 - will use
Analytics
S3 Gateway
Other Gateway
Schema Cat
Dashboards
1 - won't use
2
3
4
5 - will use
Analytics
S3 Gateway
Other Gateway
Schema Cat
Dashboards
Components Ranking
*
Considering the components again, please rank them worst to best in your opinion.
(The idea here is that you're forced to rank the ideas, rather than review them independently)
1
being the one you think is
worst
5
being the one you think is
best
1 - worst
2
3
4
5 - best
Analytics
S3 Gateway
Other Gateway
Schema Cat
Dashboards
1 - worst
2
3
4
5 - best
Analytics
S3 Gateway
Other Gateway
Schema Cat
Dashboards
Components: other feedback or Observations
If you have anything else to add, please let us know. We're especially interested in any tweaks or additions to the platform that you think would make you more likely to adopt it.
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