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Feature Parity for Govcloud
What do you like best about the product?
The easy of use for big data, and the potential to use AI
What do you dislike about the product?
Gov cloud does not have feature Parity with other access levels.
What problems is the product solving and how is that benefiting you?
Solving making dashboards, queries and reports on big data
Early adoption of data modeling development
What do you like best about the product?
Our company adopted Databricks for end to end product development, from dataETL to modeling to BI and dashboardig. It has been efficient.
What do you dislike about the product?
Migration between workspace; no lineage from other database
What problems is the product solving and how is that benefiting you?
I develop model with data from data engineer ETL pipelines, deliver output to app team, and build dashboards.
Data and AI for evry one
What do you like best about the product?
Using databricks help as to accelerate the data product delivery so new business
What do you dislike about the product?
I think that the connection of the onpremise need to be developed asap
What problems is the product solving and how is that benefiting you?
Data as product can be well govz
Databricks keeps making my job easier
What do you like best about the product?
I like that there are constant updates that abstract from the low level code that I am tired of writing
What do you dislike about the product?
Some of these new features are fairly limited in their use
What problems is the product solving and how is that benefiting you?
Bringing data in from old oracle systems and helping me use more modern platforms.
Good features, some issues with notebook backup and costs visibility
What do you like best about the product?
I enjoy the ease of using notebooks and the genie. I also like many features available such as catalog and mlflow.
What do you dislike about the product?
Costs are not easy to understand to the end user. Notebooks backup is not straightforward.
What problems is the product solving and how is that benefiting you?
It's beneficial because it allows us to quickly set up pipelines, experiments and complete projects faster.
Good platform
What do you like best about the product?
It's useful for all things data like ml and genai
What do you dislike about the product?
It takes time to setup and figure out how to do things
What problems is the product solving and how is that benefiting you?
It helps as a data platform
Happy Cloud Data Camper
What do you like best about the product?
The ease of use. The UI is dimple and easy to understand.
What do you dislike about the product?
Unity Catalog and permissioning ends up with over permissioning access because its not granular enough.
What problems is the product solving and how is that benefiting you?
It is our primary platform for migration from on prem.
Easy and Robust Experience on Data Intelligence Platform
What do you like best about the product?
All our data, ability to make dashboards, and AI capabilities are in one place.
What do you dislike about the product?
Review App data is not available real time
What problems is the product solving and how is that benefiting you?
Databricks has an initiative to log data from the Review App real-time. We need that data real time to effectively monitor and alert on AI usage.
Best analytics platform out there
What do you like best about the product?
Notebooks, Dashboards built on top of your SQL tables, ML lifecycle management.
What do you dislike about the product?
Learning and onboarding curve has been growing overtime as new products get added.
What problems is the product solving and how is that benefiting you?
Data democratization, big data processing, ETL pipelines
Databricks for Data AI
What do you like best about the product?
The unity catalog and the capability to run models on open formats is incredible.
What do you dislike about the product?
Migrations to databricks can be very complex and the tools are not advanced yet.
What problems is the product solving and how is that benefiting you?
It’s allowing us to transform our data strategy into a modern Lakehouse architecture.
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