Connect Databricks SQL to your datalake
Bring Databricks SQL data to a central environment, updated at the frequency you set and ready for dashboards, AI and reports — without manual exports.
Limited access: Live extraction is enabled connector by connector, after being validated with a real credential from your account. Contact support to get access.
Status of this connector
Limited access. Live extraction is enabled connector by connector, after being validated with a real credential from your account. Contact support to get access.
The problem
Data that lives in Databricks SQL (lakehouse with SQL Warehouses over the Unity Catalog) often stays isolated from the rest of the company. To analyze it together with ERP, spreadsheets and other sources, someone exports and combines everything by hand — causing rework and risk of error.
How to connect Databricks SQL
You set up the connection once, define the update frequency and data will start arriving at your datalake organized in layers. This connector is in limited access — see the usage condition above before relying on it in your operation.
What you get
- Databricks SQL data centralized alongside other sources
- Scheduled ingestion at the frequency your business needs
- Organization in layers Bronze, Silver and Gold
- Dashboards in the native BI and natural language questions to AI
- Read prepared data with Power BI, Excel and other tools
How ingestia.io helps
ingestia.io connects Databricks SQL, banks, files, spreadsheets and systems in a single data platform, with scheduled ingestion and governance. Once connected, you choose the destination: dashboards in the native BI, natural language questions to AI, scheduled reports, APIs or your current BI tool — all with a monthly plan and usage credits.
Does your company need to centralize data?
Take the ingestia.io Data Structure Simulator and find out which path makes the most sense to organize your sources, cut rework and build a reliable foundation for reports, dashboards and integrations.