Planned Features#
dataPi is continuously evolving to meet the needs of its users. Here’s a list of features and improvements we’re planning to implement in future releases:
Query Operations#
Add more operators, including JOINS
Metastore Support#
Add support for other metastores like Unity and BigQuery metastore
Container Building and Deployment#
Add support for more container building services, such as local Docker
Expand support for container deployment infrastructure, including Kubernetes
Data Transformations#
Add support for local transformations using dbt (data build tool)
dataPod Dependencies#
Enable dataPods to depend on other dataPods, not just tables
User Interface#
Add a UI for viewing deployed dataPods and their exposed contracts
Embedded Engines#
Add support for other embedded engines like Polars and Fusion
Resource Generation#
Implement automatic generation of resources using embedded LLMs (Language Models)
Data Formats#
Add support for sending data in more formats (e.g., JSON, Arrow)