# Build a real-time lakehouse architecture with Redpanda and Databricks

DevFeed: [Build a real-time lakehouse architecture with Redpanda and Databricks](<https://devfeed.tech/articles/build-a-real-time-lakehouse-architecture-with-redpanda-and-databricks-12736.md>)

Original publisher: [Read original article](<https://www.redpanda.com/blog/real-time-lakehouse-databricks-iceberg>)

Author: Peter Henn

Published: 2026-01-06T00:00:00Z

Content type: article

Language: en

Sources: [Redpanda](<https://devfeed.tech/sources/redpanda.md>)

Topics: [Apache Iceberg](<https://devfeed.tech/topics/apache-iceberg.md>), [real-time](<https://devfeed.tech/topics/real-time.md>), [databricks](<https://devfeed.tech/topics/databricks.md>), [Streaming](<https://devfeed.tech/topics/streaming.md>), [data](<https://devfeed.tech/topics/data.md>), [Cloud](<https://devfeed.tech/topics/cloud.md>)

Tags: [analytics](<https://devfeed.tech/tags/analytics.md>), [apache-iceberg](<https://devfeed.tech/tags/apache-iceberg.md>), [cloud-native](<https://devfeed.tech/tags/cloud-native.md>), [databricks](<https://devfeed.tech/tags/databricks.md>), [governance](<https://devfeed.tech/tags/governance.md>), [platforms](<https://devfeed.tech/tags/platforms.md>), [real-time](<https://devfeed.tech/tags/real-time.md>), [real-time-lakehouse-architecture](<https://devfeed.tech/tags/real-time-lakehouse-architecture.md>)

## AI overview

This article explains how Redpanda and Databricks can support a real-time lakehouse architecture in which streaming data flows directly into governed, analytics-ready tables. It presents Apache Iceberg as the open, cloud-native table foundation that combines data-lake flexibility with warehouse-style governance and reliability, while describing how this approach reduces batch processing and operational complexity.

## Source excerpt

Learn how Redpanda's Iceberg Topics and Databricks Unity Catalog enable real-time, analytics-ready tables without batch, orchestration, or babysitting.