Tile38
Geospatial database and real-time geofence server for managing fleets, mobile apps, and IoT devices.
Geospatial database and real-time geofence server for managing fleets, mobile apps, and IoT devices.
This page is designed to help you find out whether Tile38 is good and if it is the right choice for you.
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Realtime Geospatial Indexing
Tile38 excels in real-time geospatial indexing and queries, allowing developers to efficiently track, detect, and process location-based data updates as they happen.
Ease of Use
Tile38 offers a straightforward API, making it easy to integrate with various applications. Its Redis-like protocol simplifies the learning curve for developers familiar with Redis.
Scalability
It is designed to handle large volumes of geospatial data and can efficiently manage a large number of concurrent connections and data updates.
Open Source
As an open-source project, Tile38 allows developers to access its source code, enabling customization and active participation in its community-driven development.
Support for Complex Geospatial Queries
Tile38 supports a wide range of geospatial queries, including nearby, within, intersect, and geofence commands, making it versatile for various applications.
We have collected here some useful links to help you find out if Tile38 is good.
Check the traffic stats of Tile38 on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of Tile38 on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of Tile38's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of Tile38 on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about Tile38 on Reddit. This can help you find out how popualr the product is and what people think about it.
Always great to see his open-source creations, like: - a Redis like cache purpose built for real-time spatial locations: https://tile38.com/ - go package for reading JSON: https://github.com/tidwall/gjson. - Source: Hacker News / about 1 year ago
I actually worked on a project that did this. We used a database called "Tile38" [1] which used an R-Tree to make geospatial queries speedy. It was pretty good. Our dataset was ~150 GiB, I think? All in RAM. Took a while to start the server, as it all came off disk. Could have been faster. (It borrowed Redis's query language, and its storage was just "store the commands the recreate the DB, literally", IIRC. Dead... - Source: Hacker News / about 4 years ago
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