kepler gl in combination with big data (geomesa/hbase/spark/hadoop) backend ?

I am impressed with kepler gl-very handy to get some nice results quick, but still had a question. Can the tool be used as a visualisation tool with a big data (spark/hadoop) backend? I understand it can be integrated with jupyter, but this only is of interest for exploration in a notebook . I wonder if kepler gl is every used as a front end in combination big data (let's say data stored in hbase ) datasets. Can it visualise data from geomesa? Can it read from a json API?

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@JB-data I'm maintaining Dekart: open-source backend for Kepler.g. It connects directly to BigQuery, Snowflake, Amazon Athena and ClickHouse. We are planning Databricks integration, ping me if interested.

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