What is the easiest way to give spreadsheet users self-service filtering capabilities for our MySQL or Snowflake data

using Coefficient excel Add-in (500k+ users)

Enable self-service MySQL and Snowflake data filtering for spreadsheet users through parameterized queries and cell-based controls in 15 minutes.

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Your team needs to filter MySQL or Snowflake data regularly, but they can’t write SQL queries. Setting up complex data access systems seems overwhelming, and you need a solution that works immediately without extensive IT setup.

Here’s the fastest way to enable self-service database filtering through familiar spreadsheet interfaces, with implementation taking just 15 minutes.

Deploy self-service database filtering using Coefficient

Coefficient provides the simplest path to self-service data filtering through its SQL Params feature and no-code interface. Users control database queries through labeled spreadsheet cells, with no SQL knowledge required.

The setup process connects your database, creates parameterized queries, and maps filters to cells – all within a familiar spreadsheet environment that your team already knows.

How to make it work

Step 1. Connect your MySQL or Snowflake database.

Use Coefficient’s one-click connection to establish a secure link to your database. The connection process handles authentication and permissions automatically, with no complex IT setup required.

Step 2. Build a parameterized query in the SQL builder.

Create a flexible query using parameter placeholders: SELECT * FROM {{table_name}} WHERE created_date >= {{start_date}} AND status = {{status_filter}}. These parameters will pull values from spreadsheet cells.

Step 3. Map parameters to labeled spreadsheet cells.

Link each parameter to clearly labeled cells like “Start Date” in A1 and “Status Filter” in A2. Users will change these cell values to control what data appears in their reports.

Step 4. Create user-friendly filter controls.

Set up dropdown menus for status options, date pickers for time ranges, and text inputs for search terms. Use data validation to ensure clean inputs and reduce filtering errors.

Step 5. Share the template and train users.

Distribute the Google Sheet or Excel file to your team with simple instructions on which cells control which filters. Users can immediately start filtering data by changing cell values and refreshing.

Enable instant database access through familiar tools

Self-service database filtering eliminates bottlenecks while giving users 10x faster access to the data they need for decision-making. Set up your filtering system in minutes.

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