Glide | Data Migration Workflow: Client Spreadsheets → Supabase → Glide (and Other No‑Code Tools)
This section describes a practical workflow for migrating client data from spreadsheets into Glide (and similar no‑code platforms) using Supabase, SQL, Claude, and n8n.
Overview
We use Supabase as a staging database and Claude as an assistant for generating SQL and table schemas. n8n is used when the migration involves multiple source sheets or more complex data flows. Two developers can work in parallel:
Dev A: Supabase + SQL + Claude (schema design and data cleaning)
Dev B: n8n + Supabase (automation and multi-sheet handling)
The final goal is always to produce CSV files that match the target Glide table structure so they can be imported directly into Glide.
1. Recreate Glide Tables in Supabase with Claude
Export table structure from Glide
In Glide, export the table as CSV.
Copy the header row and the first data row from the CSV. These will be used as an example of the target structure and data types.
Generate
CREATE TABLESQL with ClaudePaste the copied header row and first data row into Claude.
Ask Claude to:
Infer column types from the sample row.
Generate a
CREATE TABLESQL statement for Supabase (PostgreSQL) that matches the Glide table structure.
Repeat for all tables
For each Glide table that needs to be mirrored in Supabase, repeat the CSV export and Claude-assisted SQL generation.
Create tables in Supabase
Paste the generated SQL queries into Supabase SQL editor.
Run the queries to create all required tables.
At this point, the Glide tables are structurally recreated in Supabase.
2. Data Cleaning in Supabase with Claude
Once the tables exist in Supabase, we can clean and transform the data before sending it back into Glide.
Define cleaning needs
Identify which columns need normalization, deduplication, or type fixes (e.g., dates, booleans, enums).
Use Claude to draft SQL transformations
Explain the cleaning rules to Claude (e.g., unify date formats, trim strings, merge duplicate records).
Ask Claude to generate SQL that applies these rules.
Run and verify SQL in Supabase
Paste Claude’s SQL into Supabase.
Review and adjust as needed.
Run the queries and validate the results with simple checks (row counts, spot-checking data).
3. Handling Multiple Source Sheets with n8n
When projects involve multiple spreadsheets or sheets (for example, the Bluewater project), we use n8n to orchestrate the migration into Supabase.
Set up n8n workflow
Typical responsibilities for n8n in this context:Iterate over multiple spreadsheets or multiple sheets within a file.
For each sheet, read the data and send it to Supabase (e.g., via
INSERTqueries or Supabase API).
Iterative import into Supabase
For each sheet, map columns as needed and write the data into the appropriate Supabase table.
This step can be handled by a separate developer from the one managing Claude + SQL.
Dealing with changed schemas from n8n
Sometimes, the table produced by n8n has a different column structure than the target Glide table.
4. Aligning n8n Output with Glide Table Format
When n8n outputs a table with columns that don’t match the Glide schema, use Claude to bridge the gap.
Export n8n result table
Export the resulting n8n table (or query sample rows) as CSV.
Ask Claude to map to Glide format
Provide Claude with:
The n8n output table headers (and sample row).
The Glide table headers (from the original CSV export).
Ask Claude to design a new table schema in "Glide format" based on the n8n table, mapping each n8n column to the appropriate Glide column.
Create a Glide-compatible table
Use Claude’s output to:
Adjust the Supabase table (if needed) or
Prepare a transformed view/query that matches the Glide column structure.
Export to CSV for Glide
Once the data in Supabase matches the Glide table format (column names and order), export it as CSV.
Import that CSV directly into Glide, which will match the existing Glide table schema.
5. Division of Work Between Developers
To speed up migrations, this workflow can be split between two developers:
Developer 1 - nocode dev (Supabase + Claude):
Recreate Glide tables in Supabase using Claude-generated SQL.
Design and execute data cleaning and transformation queries.
Developer 2 - automation dev (n8n + Supabase):
Build n8n workflows to iterate through multiple source sheets and push data into Supabase.
Ensure the data landed in Supabase can be aligned with the Glide schema (with help from Developer 1 and Claude).
Both developers collaborate to produce final CSV files in the exact Glide table format, which can then be imported into Glide (or other similar no‑code tools).