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MIXED
65/100
UNBOUGHT SCORE
CONFIDENCE 95.5%
Mixed reads
P

PostGIS

Adds geographic object support to PostgreSQL for spatial databases
MIXEDAI Build
Pricing
Free
Learning curve
Steep
Time to value
Weeks
Visit WebsiteSave to Stack
BEST FORSmall TeamGrowing Business
WORKS FOR

Climate matching for gardeners in a bioregion, Geolocation data handling for web analytics, Core geospatial data processing for nationwide datasets

KEY INSIGHT

It is a powerful, open-source database extension for businesses whose core operations depend on analyzing and managing location-based data.

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FIRST-HAND READS

What people reported, in their own words. Every line links to where it was said.

  • “I've used PostGIS because it made sense to be able to make geo query when latlon is already a (small) part of your schema.”

    POSITIVE · features · Hacker News · 2026-07-06

  • “Linking SagaGIS with PostGIS to do pre/post wildfire analysis was my jam.”

    POSITIVE · features · Hacker News · 2026-05-08

  • “PostGIS powers climate matching, so you can find gardeners in your bioregion and see what's actually working in similar growing conditions”

    POSITIVE · features · Hacker News · 2026-03-03

  • “PostGIS took multiple days to process the million-vertex Norwegian national parks”

    NEGATIVE · performance · Hacker News · 2026-01-19

  • “learning all the magic of PostGIS - if you ever have an idea that involves geospatial data or maps, go ahead and try build it with PostGIS in the db.”

    POSITIVE · features · Hacker News · 2026-01-12

  • “I can't really do anything with it until it's loaded in to PostGIS, so this would save a ton of time/storage space over that”

    NEGATIVE · performance · Hacker News · 2025-06-11

  • “I'm a huge fan of. Charts are hand-authored by government hydrography offices and encoded into a format called "S-57". These files contain spatial data for a small area, and different charts cover different zoom levels. This presents a few problems for web apps: Charts of different intended zoom levels cover other data, the full chart dataset is too large to stream, and charts aren't divided into xyz tiles cleanly. To solve this, I run a bespoke pipeline which processes all nautical chart data into an internal format using PostGIS. From there, I merge all chart data together, overlaying higher accuracy charts over the lower accuracy charts. The pipeline performs a lot of data validation & reconciliation to remove bad data, then simplifies & renders to vector tiles. PostGIS is critical to this - I started by using a bunch of python geometry manipulation libraries, and slowly shifted more and more of the processing into SQL queries as I realized how fast and intuitive it is.”

    POSITIVE · performance · Hacker News · 2025-05-11

  • “I've been able to "CREATE EXTENSION postgis;" for more than a decade”

    POSITIVE · ease of use · Hacker News · 2025-05-03

  • “a brutally hacky pipeline involving PostGIS, EMR, and Pig, and it was hell”

    NEGATIVE · Hacker News · 2025-04-28

  • “migrated to PosrgreSQL with PostGIS for far superior GIS support”

    POSITIVE · features · Hacker News · 2024-09-24

  • “We had a really good experience with it combined with PostGIS. Scenarios like "Show sensors on a map with value graphs for each sensor" can be done in a single query, and it's fast and beautiful.”

    POSITIVE · performance · Hacker News · 2024-08-03

  • “randomly crashes for me when viewing any postgis related result sets”

    NEGATIVE · reliability · Hacker News · 2024-07-21

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