IOMETE

A data lakehouse deployed on-premise, in the cloud, or in a hybrid environment built on Apache Iceberg and Apache Spark, designed to address the evolving needs of the data landscape. It is presented as an anlternative to traditional Hadoop distributions:

1. Serverless Lakehouse: IOMETE provides a serverless lakehouse that simplifies data management, storage, and processing, reducing operational overhead.

2. Serverless Spark Jobs: The platform supports serverless Spark jobs, to ensure efficient data processing without the need for dedicated clusters.

3. SQL Editor: IOMETE includes a user-friendly SQL editor, making data querying and analysis accessible to a wide range of users.

4. Advanced Data Catalog: An advanced data catalog helps organize and discover data assets efficiently, fostering data governance and collaboration.

5. Jupyter Notebook: Jupyter Notebook allows for interactive data exploration and prototyping. To analyze data from the data lake in a local environment IOMETE can be connected to Jupyter Gateway.