topic Urgency: Getting Lakebridge installation failed in our organization environment (laptop) in Data Engineering

Urgency: Getting Lakebridge installation failed in our organization environment (laptop)

shubham007 — Mon, 10 Nov 2025 04:47:03 GMT

Dear community expert,

I’m reaching out for assistance with installing Databricks Lakebridge on my organization laptop. I have confirmed the stated prerequisites are installed: Java 22+, Python 3.11+, and the latest Databricks CLI, but the installer fails to complete. I also attempted the installation from an Azure VM as an alternative, and that attempt failed as well.

Key details:

Prerequisites installed: Java 22+, Python 3.11+, Databricks CLI (latest)
Alternate attempt: 1] Azure VM install — also failed. 2] Reconfigured office laptop 3] Re-imaged laptop
Request: guidance on next troubleshooting steps and which logs or environment details you need from me to investigate

I can share installer logs and outputs (Java/Python/CLI paths and versions) if helpful. Please advise how to proceed or who I should engage with to resolve this.

Attached screenshots

Re: Urgency: Getting Lakebridge installation failed in our organization environment (laptop)

WiliamRosa — Tue, 11 Nov 2025 19:27:56 GMT

Hi @shubham007, how are you?
The error shown in your first screenshot is happening because the pyodbc package, which is a dependency of Databricks Lakebridge, requires the Microsoft Visual C++ Build Tools to compile native extensions on Windows.
Have you tried installing that?

Re: Urgency: Getting Lakebridge installation failed in our organization environment (laptop)

WiliamRosa — Tue, 11 Nov 2025 19:37:38 GMT

Additionally, you can check the following documentation and links that I found, which may help you:

1) To view the available Python versions and guidance on using a virtual environment (virtualenv or conda):
https://www.piwheels.org/project/databricks-labs-lakebridge

2) If you plan to connect to legacy systems (e.g., Oracle, SQL Server) or to a Databricks instance, you’ll need the required credentials and connectivity (JDBC, etc.) as described in the migration guides:
https://medium.com/towards-data-engineering/oracle-to-databricks-lakehouse-migration-using-lakebridge-a-comprehensive-guide-caf8bec3c37d

3) On the official GitHub link, note that the tool is open source and has no formal Databricks support SLA (i.e., “provided AS-IS”):
https://github.com/databrickslabs/lakebridge