Tableau, initially was a tool to be able to build SQL statements using drag and drop GUI; just like ms-access 1. If your highest qualification is Alevel English and a second in creative writing; tableau will allow you to see trends in a pile of numbers; using phrase extraction AKA domain knowledge comprehension. The software can be sold in a variety of fashions; but for realistic amounts of data, the only that makes sense is a on-prem installation; to avoid latency issues 2. If you have small data (e.g. LAN authentications for 2020), or your data is also in the cloud; then a cloud copy of tableau will have lower running costs.
This is a “payfor” software 3, I haven't seen any community version/ OSS repo.
Assuming your starting point is being a developer/ BI person; tableau will still be useful; as it should shorten the length of time to deliver an analysis quite a lot. In this second scenario, the tool is useful for saving time, rather than adding a support framework for the users lack of stats.

Tableau software supports (unless otherwise annotated, mentioned features are from 4 or 5 ):

  • I think this is a serverside piece of software, that one accesses via a website. They are really proud that you do not need to own the server that it runs on (e.g. the perfectly normal servers owned by MSFT Azure and AMZN AWS). This last sentence is not a technical deliverable.
  • Like many websites, the website works on modern phones. This is a technical deliverable; but its too common to be a differentiator.
  • Is like a CMS, in that it has a backup tool; and asset catalogues. Secondly like a CMS (i.e. mixed users) they talk about oauth.
  • [NOTE] Graphs, with various generated averages on those graphs.
  • A badly written section says that Tableau support static data, data slices, and the ability to apply colouring to output.
  • The brochure website is good as it claims to support a list of languages; including en-uk being different to en-us.
  • GIS, including multiple map layers. Secondly they talk about data import features for GIS to get the data.
  • Unicode support, which is quite common. But more relevantly supply documentation is several different languages 6
  • Integration with Salesforce, Snowflake, “Cloudera Hadoop, Oracle, AWS Redshift, cubes, Teradata, Microsoft SQL Server” 7 and a couple of different DB.
  • Supports server monitoring like datadog.
  • Simple projections extending moving average datasets. Secondly a fairly normal range of data functions 8 9
  • They show a demo for phrase extraction and expert domain analysis on their main website.
  • [NOTE] Wide range of features for time-series data rendering 10 11 12
  • Tableau can build indexes 13, I guess on a temporary table.
  • There are a range of visualisations, many are described in 14
  • There is support for editing axis 15 to allow whatever suits the data the best.

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