#databricks
Live, measured metrics for the hashtag #databricks from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #databricks
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.
Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-11-08 19:33 UTC1 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 2026-11-08 19:33 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-11-08 19:33 UTCEverything below is measured over the latest 40 public posts (spanning ~3358 hours).
Posting hours (UTC) — busiest: 19:00
Languages: English (31) · Russian (4) · Chinese (Taiwan) (2) · German (2) · Italian (1)
Avg boosts / post: 0.1
Top of the latest posts
I feel a lot like @lukaseder these days. Yesterday: - Found and reported a bug with #DuckDB and their JDBC driver - Cried frozen tears into the the #Snowflake typesystem Today: - Found, reported and fixed a bug with the #Databricks JDBC Dri
DB-Engines Ranking climbers of the month: 1. #Databricks 2. #Redis 3. #Snowflake https://db-engines.com/en/ranking
Uff one day #databricks event with a lot of talks and conversation. Databricks lock-in might be the step when you get out of the cloud lock in. But they definitely have some cool features.
What “databricks” means
WikipediaDatabricks, Inc. is an American data software company headquartered in San Francisco, California. It was founded in 2013. It offers cloud computing-based data analytics, and can run on Amazon Web Services, Microsoft Azure, and Google Cloud Platform.
“Databricks” on Wikipedia (CC BY-SA) →#databricks across platforms
every network with a public tag surfaceFollow #databricks 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.
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/databricks