Tile38 – Realtime geofencing and geospatial index, v1.11.0
github.com
github.com
In my opinion PostGIS is the Swiss Army Knife of spatial data management. It's awesome! Especially for large datasets and complex queries. I use it all the time.
Tile38 uses the Redis protocol for network transport. There're some commands that loosely resemble Redis like SET and GET, but it's otherwise a completely different project. I originally forked Redis and built the functionality on top of the C codebase. https://github.com/tidwall/redis-gis, but scrapped that project.
What Tile38 is good for is very dynamic datasets where the application needs fast and simple point-in-polygon queries and streaming geofence notifications. Like vehicle pickup services, bus route services, proximity social apps, etc.
Has anyone here built any user-facing applications on top of it?
https://www.postgresql.org/docs/current/static/plpgsql-trigg...
https://www.postgresql.org/docs/current/static/sql-listen.ht...
Web-based notification is pretty much trivial after that since you need a database client written in a language of your choice that forwards the notification via HTTP to some endpoint. It's not as trivial as the tile38 but it can be more powerful since you can add any type of geometry to your POI. For instance you want to be notified when a vehicle crosses state borders.
at https://www.weenect.com we're currently experimenting with it in order to replace our mongodb, I think I will go with this and a mix of postgresql for historical data.
the realtime geofencing capabilities will be a very good plus for us, as that's one of the main feature of our products, i.e being able to know when your cats or dog is going too far.
At this point we're about to release tile38 to our staging environment. We opted for it basically for its capability to cache and spatially query geojson directly. Plus this can be done without the serialisation/deserialisation overhead. Another advantage for us is the ability to use the python-redis bindings. This let's us execute commands like this to retrieve data for a tile x,y,z request:
res = client.execute_command( "INTERSECTS", our_key, "WHERE", "minzval", 1, z, "LIMIT", LIMIT, "TILE", x, y, z )
Very straightforward and very fast.
I started building a generic geofence gRPC framework on top of tile38. You get a gRPC service that abstracts away the Redis API from you, and is generic enough to run multiple applications from the same tile38 server. It works by namespacing keys into their own collection. The namespacing is done through authentication with the header metadata, so it becomes transparent to the gRPC client.
I'm
* sending a notification every time the bus is x km/miles from someone (static geofences), * triggering certain actions when user's at a train station (in conjunction with Google/Android geofencing)
I have been trying to use roaming geofences, but don't really have much use for them at the moment.
I've been using a similar geometry library 'S2'[1], by Google. It's mainly used for fast spatial indexing and comparison functionality, albeit more 'approximate'[2] than Tile38 seems to be.
[2] Approximate = not absolutely exact shapes when geofencing, for example.