databricks at a glance
Latest daily volume: 11,198 (as of 2026-10-12) · Locale: Worldwide
- vs ~7 days earlier: -20.1%
- vs ~30 days earlier: 60.2%
- vs ~1 year earlier: 64.5%
Topic groups: Developer & Tech Platforms
- In the 12 months to Oct 12, 2026,
databricksaveraged 15,251 Google searches a day worldwide. - The busiest day was Sep 21, 2026, with 51,840 searches, 3.4× the daily average.
- The 30 days to Oct 12, 2026 had 493,081 searches, up 17% from the 30 days before (422,160).
- Tuesday is the strongest day of the week, averaging 18,682 searches, 23% above the average day.
- The 45-day forecast expects about 16,798 searches a day, close to the last 30 days' average.
Every figure is calculated from this keyword's daily Google search volume series. API access is available for subscribers. Check another keyword with the free Google search volume checker.
Overview
The keyword databricks is tracked in all countries with daily Google search volume data that helps reveal current demand rather than only a monthly average. The latest snapshot shows 11,198 searches per day and an average monthly volume of 462,533, with data current through 2026-10-12. Use this page to compare short-term attention with longer baselines before planning content, campaigns, operations, or research.
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Why Is databricks So Popular?
Developers search for this term when they need documentation, tutorials, examples, integrations, pricing, comparisons, or troubleshooting help. Interest can rise after product launches, framework updates, outages, conference announcements, or visible adoption by engineering teams. Daily movement helps distinguish durable developer adoption from short-lived launch buzz.
Search Volume Trends
The daily chart helps separate steady baseline interest from abrupt spikes around news, seasonality, launches, promotions, weather, games, market moves, or cultural moments. Watch whether volume returns to baseline quickly or stays elevated for several days, because persistence often matters more than a one-day burst. Compare changes against related keywords in the same public group to understand whether demand is specific to databricks or broad across developer tooling, cloud infrastructure, and software platforms.
How to Use This Data
Use daily search volume to plan publish dates, paid-search budgets, inventory, research coverage, staffing, or alerts when people are actively searching. Pair the series with external context such as launches, holidays, earnings, weather, policy changes, retail promotions, sports calendars, or news cycles so the keyword movement has a real-world explanation. Subscribers can pull the same time series through the Daily Search Volume API for dashboards, CSV exports, and automated monitoring.
For Marketing Agencies and Content Creators
Use databricks volume as a trigger for content refreshes, landing-page updates, and short-window campaign tests. A rising daily pattern can support faster briefs and more precise editorial timing than monthly averages alone. When interest fades, the same chart helps decide whether to pause, archive, or update content.
For Developer Relations and Product Teams
Use daily demand to time tutorials, docs refreshes, migration guides, and launch follow-up content. Compare search movement with GitHub activity, signup data, community posts, and support volume to understand whether interest is turning into real adoption.
For Market Researchers and Technical Investors
Developer-search attention can highlight infrastructure themes before they appear in broader analyst coverage. It works best when evaluated alongside product usage, open-source traction, hiring signals, and customer announcements.
Related keywords
Look up any other keyword with the free Google search volume checker, or see today's trending keywords.