MS Sql Server not even mentioned. This tells us there is a whole world almost totally omitted from discussion on HN: "Enterprise"
Oracle isn't in there either, which goes to show how much of a bubble HN actually is considering MSSQL and Oracle are #1 and #2 in market share.
Analyzing database trends through 1.8M Hacker News headlines
71–80 of 97 posts
Re: Analyzing database trends through 1.8M Hacker News headlines
#72Earlier quoted context omitted.
Oracle isn't in there either, which goes to show how much of a bubble HN actually is considering MSSQL and Oracle are #1 and #2 in market share.
They are perhaps #1 and #2 in the "enterprise" market share, but in no way are they overall #1 and #2. Not even close. Which web app or startup uses them?
Re: Analyzing database trends through 1.8M Hacker News headlines
#73Earlier quoted context omitted.
They are perhaps #1 and #2 in the "enterprise" market share, but in no way are they overall #1 and #2. Not even close. Which web app or startup uses them?
Stackoveflow
Re: Analyzing database trends through 1.8M Hacker News headlines
#74Some of the insights match my personal experience and preferences. At $dayjob we're migrating from Mongo to TimescaleDB (now TigerData ¯\_(ツ)_/¯) which is basically a PostgreSQL extension for time series data and couldn't be happier. We are getting better performance and massive storage savings. On the analytics side of things we are starting to use DuckDB for some development efforts, but we are keen on potentially…
Can you tell me, the scenarios you used MongoDB for? Because I'm still curious about why would anyone use MongoDB after all these years.
Because MongoDB is webscale.
Re: Analyzing database trends through 1.8M Hacker News headlines
#75MS Sql Server not even mentioned. This tells us there is a whole world almost totally omitted from discussion on HN: "Enterprise"
Oracle isn't in there either, which goes to show how much of a bubble HN actually is considering MSSQL and Oracle are #1 and #2 in market share.
Re: Analyzing database trends through 1.8M Hacker News headlines
#76Earlier quoted context omitted.
Oracle isn't in there either, which goes to show how much of a bubble HN actually is considering MSSQL and Oracle are #1 and #2 in market share.
They are perhaps #1 and #2 in the "enterprise" market share, but in no way are they overall #1 and #2. Not even close. Which web app or startup uses them?
Well with that question you neatly define the bubble that you inhabit.
https://db-engines.com/en/ranking ranks Oracle at number 1 and MS Sql Server at number 3, their method being a broad range of statistics based on job offers and web search statistics.
Re: Analyzing database trends through 1.8M Hacker News headlines
#77Earlier quoted context omitted.
They are perhaps #1 and #2 in the "enterprise" market share, but in no way are they overall #1 and #2. Not even close. Which web app or startup uses them?
Stackoveflow
https://survey.stackoverflow.co/2024/technology#most-popular...
Re: Analyzing database trends through 1.8M Hacker News headlines
#78MS Sql Server not even mentioned. This tells us there is a whole world almost totally omitted from discussion on HN: "Enterprise"
Oracle isn't in there either, which goes to show how much of a bubble HN actually is considering MSSQL and Oracle are #1 and #2 in market share.
Re: Analyzing database trends through 1.8M Hacker News headlines
#79MS Sql Server not even mentioned. This tells us there is a whole world almost totally omitted from discussion on HN: "Enterprise"
Oracle isn't in there either, which goes to show how much of a bubble HN actually is considering MSSQL and Oracle are #1 and #2 in market share.
Re: Analyzing database trends through 1.8M Hacker News headlines
#80MS Sql Server not even mentioned. This tells us there is a whole world almost totally omitted from discussion on HN: "Enterprise"
It doesn't though, all it tells you is that it's missing from the headlines in the submissions.
"Enterprise" is discussed on HN too, but inside submissions that aren't exclusively about MS Sql Server. Try searching for some terms on the Algolia HN search, order by date and filter by comments and you'll find the subthreads/submissions where it's discussed :)