#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 2026-09-09 04:43 UTC0 uses by 0 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 2026-09-09 04:43 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-09-09 04:43 UTCEverything below is measured over the latest 40 public posts (spanning ~2247 hours).
Posting hours (UTC) — busiest: 04:00
Languages: English (33) · German (3) · Russian (2) · Chinese (Taiwan) (1) · 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
Rage against the Data Pipeline #Databricks #IT #Work
What “databricks” means
WikipediaDatabricks, Inc. is an American data and artificial intelligence software company headquartered in San Francisco, California. It was founded in 2013 by the original creators of Apache Spark at the University of California, Berkeley. It offers a cloud-based platform for data analytics and artificial intelligence. It operates natively across Amazon Web Services, Microsoft Azure, and Google Cloud Platform. The platform includes an open data marketplace built on the Delta Sharing protocol, and funct
“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