The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning. Learn more →
FastVector Alternatives
Similar projects and alternatives to FastVector
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FastGeosuitability
FastGeosuitability is a PostGIS geospatial api to perform suitability analysis with geographical tables within a spatial database.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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NG911GISDataModel
GIS Data Model templates based on the NENA Standard for NG9-1-1 GIS Data Model (NENA-STA-006.x)
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martin
Blazing fast and lightweight PostGIS, MBtiles and PMtiles tile server, tile generation, and mbtiles tooling.
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pg_tileserv
A very thin PostGIS-only tile server in Go. Takes in HTTP tile requests, executes SQL, returns MVT tiles.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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FastGeostats
FastGeostats is a geospatial api to perform math and statistics on tables from a multitude of PostgreSQL databases with geographical data.
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FastGeospatial
FastGeospatial is a PostGIS geospatial api to enable geospatial analysis on geographical data within a spatial database.
FastVector reviews and mentions
- Generating Vector Tiles with PostGIS and Python for OpenLayers Map Rendering
- Mapbox GL JS: How to render a polygon from a postgresql? The data is store within a geodjango GeometryField
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Tileserver specs
You can use a package I created postgresVectorTileGenerator to seed tiles at larger zoom levels and load those into a cache sitting in front your tile service. The other thing you can is simplify your data or limit the number of features per tile. You can check out an API I created called FastVector. It allows you to limit the number of features per tile and dynamically cache data as well in a filestore. This will help at the higher zoom levels for larger datasets.
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Making a web based map working with millions of records
ArcGIS Online could be the right move as long as you set up the service correctly. You could also load the shapefile into a database like PostgreSQL and connect to the database via an API like Geoserver FastVector, or pg_tileserv. This would cause a lot more time, cost, and knowledge on your end though to host a database and api vs loading the data into the ESRI ecosystem.
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FastGeospatial - A PostGIS geospatial api to enable geospatial queries on geographical data within a spatial database.
Good idea, were you thinking of something like a cql_filter that I used in FastVector?
- FastVector - A multi database PostGIS based vector tile server with cql filtering and caching written in Python with FastAPI.
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A note from our sponsor - WorkOS
workos.com | 19 Apr 2024
Stats
mkeller3/FastVector is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of FastVector is Python.