Data Spark-solaris is a pre-configured development interface for the Data Spark-house cluster, featuring a Jupyter Lab service integrated with BI libraries. While services like Codespaces and Desktops can be used to interact with a Data Spark-house cluster, Data Spark-solaris additionally inherits the S3 access policies of the cluster and offers various features such as data engineering, exploration, and visualization. This facilitates the creation of robust, shareable, and interactive Business Intelligence Dashboards. Developers can seamlessly interact with Data Spark-house, implementing data transformations and ingesting real-time or batch data, whether structured or unstructured. Integration with the Flow-fx service empowers users to effortlessly create and schedule data pipelines and run notebooks directly without the need for conversion.