Roads Inside Any Database is a developer tool for location-based services and geospatial data analysis. Its goal is to calculate road-network distance or travel time directly inside βany database.β Rather than simply computing straight-line distance, it returns road-network-based metrics such as driving distance and trip time, making it suitable for route-based measurements between latitude/longitude points.
The page highlights its patented technology, which packages a road network into a table that can be loaded into the userβs existing database and then called via SQL functions. For example, SELECT dist(...) can calculate the road distance between the White House and the U.S. Capitol and return the result in meters; it can also return trip time in seconds. The product claims to require no additional software or hardware and to deliver 20x higher throughput than existing methods, but the text does not provide details about the test environment or benchmarks.
The product uses SQL as its primary interface and supports PostgreSQL, MySQL, Oracle, SQL Server, and Vertica, while also mentioning big data platforms such as Spark and Hadoop. Use cases include real estate analytics, taxi services, distance matrices, KNN nearest-neighbor queries, GPS trajectories, local advertising, Google Maps nearest-neighbor workflows, and reachability calculations. For teams with large amounts of business data already stored in databases, the main advantage is reducing the complexity of exporting data to an external routing engine.
The page does not provide pricing, licensing, payment methods, or free trial information. On deployment, it only states that a table capturing the road network is provided and can be loaded into a database, suggesting a degree of self-hosting. However, it does not explain installation packages, data updates, road coverage licensing, function registration, performance tuning, or high-availability options. The documentation is more conceptual than operational: the examples are clear, but there is not enough information for production deployment.
Its strengths are natural SQL integration and a database-team-friendly workflow, making it suitable for batch distance matrices, nearest-neighbor queries, reachability analysis, and trajectory analysis. Its weaknesses are the lack of transparency around commercial and technical details, unclear open-source/closed-source status, and uncertain support options. It is best suited for enterprise data teams willing to contact the vendor for further validation. If you need a mature open-source solution, alternatives to compare include PostGIS + pgRouting, OSRM, GraphHopper, and Valhalla. Availability in China, payment support, and the availability of China road-network data are not addressed in the text.
β This review is compiled from public sources and does not constitute a purchase recommendation. Verify all facts on the vendor's official site. Verify on roadsindb.com official site.
roadsindb.com is an Unknown Dev Tools provider. TG4G tracks its product information, an overall rating of 6.0/10, and a China-accessibility score of Workable. Click "Visit Official Site" to reach roadsindb.com directly.