ALEX is a new class of learned indexes which addresses issues that arise when implementing dynamic and updatable learned indexes.
Tabula is a middleware that runs on top of a SQL data system with the purpose of increasing the interactivity of geospatial visualization dashboards.
GeoSparkSim is a scalable traffic simulator which extends Apache Spark to generate large-scale road network traffic datasets with microscopic traffic simulation.
Hermit is a succinct secondary indexing mechanism for modern RDBMSs. It judiciously leverages the rich soft functional dependencies hidden among columns to prune out redundant structures for indexed key access.
GeoSparkViz is a large-scale geospatial map visualization framework. GeoSparkViz extends Apache Spark to provide native support for general cartographic design.
Hippo is a fast, yet scalable, database indexing approach. It significantly shrinks the index storage and mitigates maintenance overhead without compromising much on the query execution performance.
Apache Sedona is a cluster computing system for processing large-scale spatial data. GeoSpark extends Apache Spark / SparkSQL to efficiently load, process, and analyze large-scale spatial data across machines.