Question 1

How do I get a ClickHouse table into a spreadsheet?

Accepted Answer

Build a model on the ClickHouse connection, choosing a table or view or writing custom SQL, then point it at a spreadsheet and tab. Replace clears the data rows and writes the current result while keeping frozen header rows. Append starts after the last row with content. Set a schedule and the tab stays current, which ends the routine of somebody running a query and pasting output into a shared file.

Question 2

Should I send raw rows or an aggregate?

Accepted Answer

An aggregate, almost always, and ClickHouse makes that easy. The whole point of this engine is fast aggregation over very large tables, and a spreadsheet caps out at 10 million cells, so pushing raw event rows into one is both slow and pointless. Write the summary as a view or custom SQL, let ClickHouse do the work, and send the result. Sheets is a display surface here, not a storage layer.

Question 3

Can individual rows be updated rather than replaced?

Accepted Answer

No. There is no key based update in place for Google Sheets, so a row cannot be matched and edited while its neighbours stay untouched. The pattern that works is letting Polytomic own a raw data tab using replace, then building the formulas, pivots and charts people actually look at on separate tabs that reference it. A refresh then never disturbs anyone's work.

Question 4

Does a small sheet still cost a real query?

Accepted Answer

Yes, and it is easy to overlook because the destination is tiny. Each run executes a genuine ClickHouse query, and a wide scan producing forty summary rows still scans everything underneath. Filter along the sorting key where you can, select only the columns you write, and be honest about whether a sheet somebody reads each morning really needs an hourly refresh.

Question 5

Who is this for?

Accepted Answer

The people who will never write SQL, which in most companies is finance and operations. They work in spreadsheets and telling them to learn something else rarely succeeds. Reverse ETL meets them there while keeping the numbers tied to a model the data team maintains, so definitions match reporting rather than drifting the moment somebody downloads a file and starts editing their own copy.

Sync ClickHouse to Google Sheets

Sync ClickHouse to Google Sheets with Polytomic

Table, view or SQL

Replace or append

Mind the cell ceiling

Or sync Google Sheets to ClickHouse

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Step-by-step integration guide

Connect ClickHouse in Polytomic

Connect Google Sheets in Polytomic

Create a sync between ClickHouse and Google Sheets

Map fields and enable the sync

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