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Clode vs Google's BigQuery bulk export

Google's own answer to the 16-month limit is free and it works. It also has one property that no amount of budget fixes later, and it is worth understanding before you pick either of us.

Compare

The export starts today. The archive starts 16 months back. Move forward in time and compare what each one holds.
  • Search Console still has this
  • Already deleted by Google
  • Recorded by the export
  • Copied the day you connect
  • Added by the daily sync
  • Room the archive fills: 24 months
Today
The BigQuery export holds
0 months
Your archive holds
16 months

Switch both on today: the export starts empty, and the archive starts with the 16 months Google still holds.

Drawn for a property Google has held for at least 16 months. A younger property starts with less. A paid project keeps these 24 months; a free project keeps the most recent 14 days.

The BigQuery export never fills in the past

The BigQuery export starts recording the day you switch it on and never fills in the past. Google's own documentation points you at the Search Console API for anything before setup. So the ~16 months sitting in your account right now are not saved by turning it on; they expire on schedule while the export accumulates. We seed from the API on connection, so your archive starts with that history already in it, and we then hold a rolling 24 months, whereas the export, once running, keeps everything from setup day onward for as long as you keep the tables. The other difference is what you get: BigQuery gives you tables, and the SQL and the dashboards are yours to write.

Side by side

BigQuery bulk export Clode
The 16 months you have right nowNot at all: Lost. The export only records forward and never backfillsDoes it better: Copied from the API the moment you connect
SetupPartly: A Google Cloud project with billing enabled, then a linked exportDoes it better: Sign in with Google and pick the property
Getting an answer outPartly: Write SQL, then build the dashboardDoes it better: Open the page
Grouping, coverage, alerts, pivotsPartly: Build them yourselfDoes it better: Already there
Query-level detailDoes it as well: Complete, in raw tablesDoes it as well: Complete, in reports, and exportable
Ongoing costDoes it better: Metered: storage per GiB a month, queries per TiB scanned; 10 GiB and 1 TiB free monthlyPartly: Free for one site, then a fixed monthly price with a ceiling
Who it suitsA team with a data engineer and a warehouseSomeone who wants the answer, not the pipeline
Vendor riskDoes it better: None. It is your own Google Cloud projectPartly: Ours to earn; everything is exportable at any time
How long it keepsDoes it better: From setup day on, for as long as you keep the tablesPartly: A rolling 24 months on a paid site, 14 days on a free one, starting with the 16 copied on connection
Joining sales, CRM or ad spendDoes it better: Any table in your warehouse, joined in SQLPartly: Search Console data, with CSV downloads to join elsewhere

← Side by side →

Where they're better

If you have someone who writes SQL, BigQuery is excellent. It gives you the raw rows with no interpretation between you and the data, no vendor holding your archive, and you can join it against anything else in your warehouse: sales, CRM, ad spend. For a technical team building a proper reporting stack, it is the right foundation and we are not a substitute for it. Its cost is metered: storage by the GiB per month and queries by the TiB scanned, with the first 10 GiB stored and the first 1 TiB queried free every month (Google's free-tier page, checked 23 September 2026). What a site spends past that depends on how many rows it earns and how often you query them. Switch it on today either way: it is the only thing that preserves data from today forward if you ever leave us.

Connect your site and see the first answer today

Sign in with Google, pick a property, and your dashboard fills in while you watch, with the screen counting the days as they land.

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