Google Sheets ConnectorSource & destination

The Monday number your team rebuilds by hand every week.

Point Edilitics at the sheet everyone already updates and let the dashboard rebuild itself. Every column is described in plain English and graded for quality, so the number nobody could quite vouch for finally shows what it is standing on.

SOC 2 Ready
GDPR Ready
Zero Raw Rows to AI
Google Sheets
ConnectGoogle Sheets
ProfileGraded & described
GovernYour team approves
RefineCleaned without SQL
OutcomeReady to answer

What You Can Do With It

Connect Google Sheets once, then use it four ways.

Step 1 / Integrate

Read Google Sheets where it already lives

Nothing is migrated and no copy is made - queries run against your own database with your own credentials. Every column is graded A to F the moment the source connects, and described in plain English from its structure and statistics, never from the values inside it.

Step 2 / Transform

Clean and reshape Google Sheets data without SQL

Filter, join, group, deduplicate and repair by pointing and clicking, with quality rescored after every single step. The finished table is written to a database you choose, including back to Google Sheets itself, never stored by us.

Step 3 / Visualize

Track it on a dashboard that rebuilds itself

Describe what you want to understand and the charts that answer it arrive already built, chosen only from columns your data can support. No metric can be invented inside a chart.

Step 4 / AskEdi

Ask it questions in plain English

Every answer carries the exact query that ran, the grade of the data behind it, and the statistical test used. Zero raw rows are sent to any AI provider.

Why You Can Trust The Answer

Know what your Google Sheets data is worth before you trust a number from it.

  1. The moment it connects

    Every column graded A to F, with no setup

    Completeness counts for half the grade, uniqueness and type compliance for a quarter each. ID, key and date columns are weighted three times heavier, because everything downstream depends on them being right.

  2. Before anyone asks a question

    Every column described in plain English

    Descriptions are drafted from a column's structure and statistics, never from the values inside it. So the meaning of your data gets written down without any of your records being read to do it.

  3. Once your team agrees

    Your wording wins, permanently

    Approve a description and it is locked. No later refresh overwrites what a person on your team decided a column means, which is what stops the definitions drifting back to a machine's best guess.

  4. When the source changes

    You see what breaks before it breaks

    Sources are re-checked in the background and schema drift is caught on every refresh. Every dashboard, pipeline and conversation that depends on the table is listed before you change anything.

Write analytics-ready Google Sheets data
to any destination.

Transform your Google Sheets data and write the results directly to any major cloud warehouse or database. Clean, governed, and ready to use - no export scripts, no manual handoffs.

COMMON QUESTIONS

Everything you need to know about the Google Sheets Connector.

Get answers to common questions about connecting Google Sheets to your data stack.