27 lines
1.3 KiB
Markdown
Vendored
27 lines
1.3 KiB
Markdown
Vendored
# Custom integrations with unsupported data sources
|
|
|
|
<web-summary>
|
|
Examples of how to integrate Kotlin DataFrame with other data frameworks like Exposed, Spark, or Multik.
|
|
</web-summary>
|
|
|
|
<card-summary>
|
|
Integrate Kotlin DataFrame with unsupported sources — see practical examples with Exposed, Spark, and more.
|
|
</card-summary>
|
|
|
|
<link-summary>
|
|
How to connect Kotlin DataFrame with data sources like Exposed, Apache Spark, or Multik.
|
|
</link-summary>
|
|
|
|
Some data sources are not officially supported in the Kotlin DataFrame API yet —
|
|
but you can still integrate them easily using custom code.
|
|
|
|
Below is a list of example integrations with other data frameworks.
|
|
These examples demonstrate how to bridge Kotlin DataFrame with external libraries or APIs.
|
|
|
|
- [Kotlin Exposed](https://github.com/Kotlin/dataframe/tree/master/examples/idea-examples/unsupported-data-sources/exposed)
|
|
- [Apache Spark (with/without Kotlin Spark API)](https://github.com/Kotlin/dataframe/tree/master/examples/idea-examples/unsupported-data-sources/spark)
|
|
- [Multik](https://github.com/Kotlin/dataframe/tree/master/examples/idea-examples/unsupported-data-sources/multik)
|
|
|
|
You can use these examples as templates to create your own integrations
|
|
with any data processing library that produces structured tabular data.
|