Here's how DUCKDBLABS.GITHUB.IO makes money* and how much!

*Please read our disclaimer before using our estimates.
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DUCKDBLABS . GITHUB . IO {}

  1. Analyzed Page
  2. Matching Content Categories
  3. CMS
  4. Monthly Traffic Estimate
  5. How Does Duckdblabs.github.io Make Money
  6. Keywords
  7. Topics
  8. Questions
  9. Social Networks
  10. External Links
  11. Analytics And Tracking
  12. Libraries

We are analyzing https://duckdblabs.github.io/db-benchmark/.

Title:
Database-like ops benchmark
Description:
No description found...
Website Age:
12 years and 3 months (reg. 2013-03-08).

Matching Content Categories {📚}

  • Technology & Computing
  • Mobile Technology & AI
  • Science

Content Management System {📝}

What CMS is duckdblabs.github.io built with?

Website use pandoc.

Traffic Estimate {📈}

What is the average monthly size of duckdblabs.github.io audience?

🚦 Initial Traffic: less than 1k visitors per month


Based on our best estimate, this website will receive around 119 visitors per month in the current month.
However, some sources were not loaded, we suggest to reload the page to get complete results.

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How Does Duckdblabs.github.io Make Money? {💸}

We're unsure if the website is profiting.

Not all websites are made for profit; some exist to inform or educate users. Or any other reason why people make websites. And this might be the case. Duckdblabs.github.io could have a money-making trick up its sleeve, but it's undetectable for now.

Keywords {🔍}

data, basic, nas, groupby, unsorted, advanced, cardinality, factor, cidxlarge, cidmetal, join, benchmark, run, solutions, presorted, memory, machine, results, nvme, storage, size, timings, report, error, solution, scope, code, task, single, instance, directory, found, page, update, timing, type, cores, questions, cases, errors, extra, updated, scripts, files, timecsv, script, created, repository, duckdb, cpu,

Topics {✒️}

join timings open-source data science gpu gb h2oai/db-benchmark created questions timings db-benchmark-metal directory directory db-benchmark-metal calling _run/partitioned_run multi-node systems jan gorecki funded /h2oai/db-benchmark duckdb labs team 90ghz cpu cores duckdb labs decided _utils/answers-validation extra deep copy /duckdblabs/db-benchmark duckdblabs/db-benchmark data processing slides pre-sorted data details ai stopped supporting network backed storage 1tb nvme disk laptop size memory server size memory single machine mode timing differences matter machine type small single dataset case script _setup_utils/mount python datatable suffers benchmark data persist generate benchmark plots create table ans memory data storage run _setup_utils/mount data cases task performance due big join advanced join desired solution/task join scripts db-benchmark _setup_utils directory advanced groupby basic join network storage benchplot groupby

Questions {❓}

  • Why db-benchmark?

Analytics and Tracking {📊}

  • Google Analytics
  • Google Analytics 4
  • Google Tag Manager
  • Google Universal Analytics

Libraries {📚}

  • Bootstrap
  • jQuery

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