Geocode Earth provide quality Address Autocomplete, Reverse Geocoding & Place Geocoding solutions to small-to-medium sized businesses.
The company is run by the team behind the popular open-source geocoding engine Pelias, they are committed to preserving User Privacy and have been publishing Open Source GIS software since 2014.
Discounts are available for non-profit, academic & open-source projects
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Based on our record, Blazer should be more popular than Geocode Earth. It has been mentiond 11 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
As the developer of this system, I concur with this; Protomaps is focused on map tiles, and can be used with other solutions such as http://geocode.earth for search. A small detail: I don't believe this is the absolute cheapest way to deliver map tiles. Renting an unmetered bandwidth server is always going to be the cheapest way to host content, but unmanaged servers don't give you SSL termination, infinite... - Source: Hacker News / about 1 year ago
The honest truth is that google places is simply the best in the world, and the 2nd place is far behind. that's probably foursquare. After that, mapbox, then mapquest, then https://geocode.earth/. All of those are paid. Source: almost 2 years ago
The stack I describe in the post is only for map tiles - Map tiles are a good fit for CDNs because the input space is small (just Z/X/Y coordinates on a square grid) and thus very cacheable. Geocoding is a very different problem because the input space - human language - is much, much larger, and answering queries quickly to support features like autocomplete really requires a server with hot data in memory. One... - Source: Hacker News / about 2 years ago
If anyone comes across this looking for an alternative, we can help at Geocode Earth (https://geocode.earth). We're a small independent company that has been working on geocoding since 2013, first as part of Mapzen(https://mapzen.com), and then with our own self-funded business after Mapzen shut down at the start of 2018. Our core software, the Pelias Geocoder (https://pelias.io) is open source, and ironically we... - Source: Hacker News / about 2 years ago
Here is why you should contribute to OSM even though there are major players profiting from it: OSM is big enough and good enough that all the tech giants (except Google) would do better to start with OSM and improve it to meet their needs than to start a new, completely proprietary map from scratch. That means that we are in an amazing place where in addition to the substantial volunteer OSM community, there are... - Source: Hacker News / over 2 years ago
I try to avoid these tools wherever possible, given the choice I'd always go for tools like Blazer. https://github.com/ankane/blazer No such luck in my current role, Looker and PowerBI are both in use by different bits of the org and nobody has the ability to delve into the underlying figures. - Source: Hacker News / 2 months ago
As u/jaxn said you could use Blazer for this kind of thing. I would also look into materialized views or custom tables and a scheduled job that calculates the metrics they care about. That will take you a long way. Eventually you can use something like Metabase but I would put that off for as long as possible as it's really expensive and pretty involved. Source: 10 months ago
And it's Open Source: https://github.com/evidence-dev/evidence if you are into the Ruby on Rails world. It's super solid, and it's been an indispensable tool integrated to all my projects. - Source: Hacker News / about 1 year ago
I use Ahoy too, but I don't have very good visibility into the data. I should spend more time building queries and creating charts. I should probably set up blazer as well: https://github.com/ankane/blazer. - Source: Hacker News / almost 2 years ago
The Blazer gem provides a nice way to analyze the results easily. It is simple to install and allows SQL queries to run against tables. The query here shows that the candidate implementation is significantly faster than the original. - Source: dev.to / almost 2 years ago
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