How do I sync Excel data to Databricks?

Sign up for Weld, connect Excel as a source and Databricks as a destination. Weld handles the extraction, loading, and lets you transform data using SQL or dbt.

What Excel data can I sync to Databricks?

You can sync Worksheets, Rows, and Named Ranges. The available objects depend on your Excel account permissions and configuration.

How often does Weld sync data from Excel?

Sync frequency depends on your Weld plan. Schedules range from every 5 minutes to daily intervals. Each sync processes only new and changed data.

Can I transform Excel data before it lands in Databricks?

Yes. Weld supports SQL-based transformations in the platform and integrates with dbt Cloud. You can clean, join, and model your data before analysis.

Is the Excel to Databricks integration secure?

Yes. Weld encrypts all data in transit and at rest, is SOC 2 Type II certified, and supports IP whitelisting. Credentials are stored encrypted and never logged.

Can I also sync data from Databricks to Excel?

Yes. Weld supports both directions. You can use reverse ETL to push data back into Excel.

Excel to Databricks integration

Connect Excel to Databricks and automatically sync your spreadsheet/file data. Weld extracts Worksheets, Rows, and Named Ranges from Excel, loads them into Databricks, and lets you transform the data using SQL or dbt, no custom scripts required.

Start for free View setup guide

4.8 on G2

Source

Weld

Warehouse

Weld · New sync

SourceExcelConnected

Tables to sync

Your own tables, picked when you set up the sync.

Extract
Load
Keep in sync

DestinationDatabricksReady

excel schema

excel.Synced
excel.Syncing
excel.Synced
excel.Synced

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How it works

How to set up Excel to Databricks in Weld.
In the app, with the API or an agent.

Setup guide API guide MCP docs

Weld · New Excel sync

New connectionExcelAuthorised

Connection nameexcel

AuthorizeOpens Excel to grant read access

Use cases

Why sync Excel to Databricks?
Ready for analysis.

Centralizing your Excel data in Databricks lets you join it with other data sources for cross-platform analytics and deeper insights.

Build reliable dashboards and reports by querying Excel data directly in Databricks using SQL or your preferred BI tool.

Centralized data warehouse
Bring Excel data into Databricks alongside other sources to create a single source of truth for your organization.
Automated reporting
Replace manual exports and spreadsheet-based reporting with automated pipelines from Excel to Databricks. Connect BI tools like Looker, Metabase, or Power BI.

Data

What data can you sync?
From Excel to Databricks.

Weld syncs the following data objects from Excel into Databricks. The exact tables and fields depend on your Excel configuration and the permissions granted during setup.

Worksheets
Rows
Named Ranges

Weld MCP server

Ask your agent.
It queries Databricks for you.

Connect Claude, Cursor, ChatGPT or your own agent to Weld over MCP. It reads the Excel context, finds the tables it needs and runs the query in Databricks.

Set up the MCP server

Claude CodeOpus 5

ConnectedWeld MCP

Which Excel tables do we have in Databricks, and which is the largest?

Looking up what Weld has synced from Excel.

●weld·search_available_references

⎿raw.excel.*

tables, columns and freshness

●weld·get_reference_schema

⎿columns, types and nullability

●weld·run_query

⎿select count(*) from {{raw.excel.…}}

submitted

●weld·get_query_status

⎿DONE

●weld·get_query_result

⎿rows returned

✓Answered from Excel data in Databricks

>Ask about your Excel dataMCP

Under the hood

Technical considerations.
What to expect.

Reverse ETL

ELT vs. reverse ETL: Excel and Databricks

ELT (Extract, Load, Transform) moves data from Excel into Databricks for analysis. This is the approach shown on this page, and the one to use for dashboards, reports, and data models.

Reverse ETL works the other direction: it pushes enriched data from Databricks back into Excel. For example, you could sync computed lead scores or customer segments from your warehouse into Excel to personalize outreach.

Weld supports both directions, so you can build a complete data loop between Excel and Databricks.

Databricks to Excel

Incremental syncing: Weld uses incremental syncing where supported by the Excel API, loading only new and updated records to minimize data transfer and warehouse costs.
Schema handling: Weld automatically manages schema changes. If Excel adds new fields, they're detected and added to the corresponding Databricks tables.
Data freshness: Sync frequency depends on your Weld plan. Most connectors support schedules from every 5 minutes up to daily intervals.
Security: All data is encrypted in transit (TLS) and at rest. Weld is SOC 2 Type II compliant and supports IP whitelisting for database connections.

Resources

Keep reading.
Guides, docs and schema.

Documentation

Excel setup guide

How to connect Excel to Weld, step by step.

Documentation

Databricks setup guide

How to connect Databricks to Weld, step by step.

Connector

Excel connector

Everything Weld does with Excel.

Connector

Databricks connector

Everything Weld does with Databricks.

FAQ

Common questions.
About Excel to Databricks.

Start syncing Excel to Databricks.

Set up your Excel data pipeline in minutes. No credit card required. Free for 14 days.

Source

Weld

Warehouse

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Related integrations.
More with Excel and Databricks.

View all

Excel to Databricks integration

How to set up Excel to Databricks in Weld.In the app, with the API or an agent.

Why sync Excel to Databricks?Ready for analysis.

Centralized data warehouse

Automated reporting

What data can you sync?From Excel to Databricks.

Ask your agent.It queries Databricks for you.

Technical considerations.What to expect.