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@apache @conda-forge @DataOceanLab @wherobots @cloudnativegeo
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Wherobots is the spatial data analytics and AI platform trusted in production, at scale, from the original creators of Apache Sedona.

Join our team and be part of a dynamic environment where your contributions matter. Explore our exciting opportunities and make your mark in the world of Wherobots:

Message to Apache Sedona contributors and users

We are looking for passionate, skilled, and experienced software engineers to join Wherobots’ dynamic team in building the distributed geospatial cloud database of the future. As a software engineer in our SedonaDB & geospatial analytics team, you will build new features, design and implement APIs to extend our geospatial query capabilities, and improve the performance, observability, and reliability of SedonaDB’s distributed query engine.

About me

Jia Yu is a co-founder of Wherobots Inc., a venture-backed company for helping businesses to drive insights from spatiotemporal data. He was a Tenure-Track Assistant Professor of Computer Science at Washington State University from 2020 to 2023. He obtained his Ph.D. in Computer Science from Arizona State University. His research focuses on large-scale database systems and geospatial data management. In particular, he worked on distributed geospatial data management systems, database indexing, and geospatial data visualization. Jia’s research outcomes have appeared in the most prestigious database / GIS conferences and journals, including SIGMOD, VLDB, ICDE, SIGSPATIAL and VLDB Journal. He is the main contributor of several open-sourced research projects such as Apache Sedona, a cluster computing framework for processing big spatial data, which receives 1 million downloads per month and has users / contributors from major companies.

My work on Apache Sedona

My work on Apache Sedona community tools

My work on database indexing

My work on geospatial data visualization

My previous life

My research lab and my students:

My publication:



  1. apache/sedona apache/sedona Public

    A cluster computing framework for processing large-scale geospatial data

    Java 1.8k 655

  2. microsoft/ALEX microsoft/ALEX Public

    A library for building an in-memory, Adaptive Learned indEX

    C++ 657 110

  3. DataSystemsLab/hippo-postgresql DataSystemsLab/hippo-postgresql Public

    C 25 9

  4. DataOceanLab/GLIN DataOceanLab/GLIN Public

    A lightweight learned index for spatial range queries on complex geometries

    C++ 13 1

  5. stx-btree stx-btree Public

    Machine Learning based B+ Tree

    HTML 1

  6. bitmap-postgresql bitmap-postgresql Public

    An on-disk bitmap index inside PostgreSQL

    C 5