Analyze Kafka data in Jupyter.

Load your Kafka data to your data warehouse to run custom SQL queries on your customer data and to generate reports and dashboards using Jupyter. Combine your Kafka data with data from other sources to make it even more valuable.

How it works

By leveraging the Alooma enterprise data pipeline, you can easily integrate, connect, and watch your Kafka data flow into Jupyter.


Add Kafka as a data source.


Map Kafka data to Jupyter.


See Kafka data flow into Jupyter.

Export your Kafka data along with all of
your other data sources to Jupyter.


Apache Kafka is publish-subscribe messaging platform


The Jupyter Notebook is a web application that allows you to create and share documents that contain live code, equations, visualizations and explanatory text.