#bigquery

Live, measured metrics for the hashtag #bigquery from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

hashtag.org network · sponsored

Own #bigquery

This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.

$110.68/ year · 8-character #name
Claim #bigquery — $110.68/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
1
Uses / 7 days
Mastodon
1
Accounts / 7 days
Mastodon
40
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 40
0.5
Avg reactions / post
Mastodon · last 40
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-09-12 19:37 UTC
0
09-06
0
09-07
0
09-08
0
09-09
1
09-10
0
09-11
0
09-12

1 uses by 1 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.

Related hashtags

measured · fosstodon.org (Mastodon public search API) · fetched 2026-09-12 19:37 UTC
#bigquerynails
0 uses · 0 accounts / 7d
#BigQueryOmni
0 uses · 0 accounts / 7d
#bigqueryml
0 uses · 0 accounts / 7d
#bigquery_ml
0 uses · 0 accounts / 7d
#google_cloud_bigquery
0 uses · 0 accounts / 7d
#bigquerygit
0 uses · 0 accounts / 7d
#bigquerydatacanvas
0 uses · 0 accounts / 7d
#bigquery_data_transfer_service
0 uses · 0 accounts / 7d
#bigqueryai
0 uses · 0 accounts / 7d
#google_bigquery
0 uses · 0 accounts / 7d
#bigquerystudio
0 uses · 0 accounts / 7d

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-09-12 19:37 UTC

Everything below is measured over the latest 40 public posts (spanning ~6706 hours).

Posting hours (UTC) — busiest: 14:00

00:0012:0023:00

Languages: English (29) · German (3) · Russian (3) · Japanese (3) · Chinese (Taiwan) (1) · Polish (1)

Avg boosts / post: 0.5

Top of the latest posts

  • Colleague said queries against our log data in BigQuery during the England Vs Ghana World Cup match last night were slow. I thought that'd be due to us firing ~1.6 million log lines per second (~11Gb/s) into BigQuery almost constantly for 2

    Neil Craig@[email protected]♥ 12↻ 22026-06-24 09:52 UTCView post →

  • geoparquet-io: Fast #GeoParquet tool: geoparquet-io is an open-source #CLI tool and #Python library for converting, inspecting, optimizing, and partitioning #GeoParquet files, automatically applying GeoParquet performance best practices alo

    Spatialists@[email protected]♥ 5↻ 22026-04-06 17:00 UTCView post →

  • After speaking with Google Cloud support, I raised a BigQuery Feature Request myself. Please +1 it if you use Materialised Views - you can't fail to benefit from it via (a bit) lower chance of massive bill shock. #BigQuery https://issuetrac

    Neil Craig@[email protected]♥ 1↻ 02026-09-10 14:06 UTCView post →

What “bigquery” means

Wikipedia

BigQuery is a managed, serverless data warehouse product by Google, offering scalable analysis over large quantities of data. It is a Platform as a Service (PaaS) that supports querying using a dialect of SQL and Graph Query Language. It also has built-in machine learning capabilities. BigQuery was announced in May 2010 and made generally available in November 2011.

“BigQuery” on Wikipedia (CC BY-SA) →

#bigquery across platforms

every network with a public tag surface

Follow #bigquery straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.

X (Twitter) ↗Instagram ↗TikTok ↗Facebook ↗LinkedIn ↗YouTube ↗Threads ↗Bluesky ↗Mastodon ↗Reddit ↗Pinterest ↗Tumblr ↗

Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/bigquery