Learn how @OvertureMaps are collaborating to create large-scale @GeoParquet files for the OMF! The latest 1TB+ map releases are all made possible by Sedona's scalable architecture. Learn more or try it out on @wherobots #cloud

Join us on Nov. 4 for the Apache Sedona Office Hour! We'll discuss the new Apache Sedona 1.8 release and what's next in 1.8.1, ST_Transform for better accuracy and demo of ST_Transform in SedonaDB. Save the date: https://t.co/0lGZQz4jb2

The new GeoPandas API for Apache Sedona enables GeoPandas users to scale their analysis beyond the limitation of a single compute instance. 💡When to use GeoPandas vs. the GeoPandas API for Apache Sedona? Read the blog to find out: https://t.co/ww1y2FaYJj

Join us for a special Apache Sedona Community Office Hour as we celebrate the 1.8.0 release and launch SedonaDB & SpatialBench! We’ll cover: 🆕 What's new in Apache Sedona 1.8.0 🧩 SedonaDB examples and demos 📊 SpatialBench design 👉 Join us on 10/7: https://t.co/nHsyVxx69y

We’re excited to announce the initial release of SedonaDB, the first open-source, single-node analytical database engine that treats spatial data as a first-class citizen. 👉 Learn more and get started today: https://t.co/dhPJWLHw0s

📣 Excited to announce Apache Sedona 1.8.0! 🚀 This release brings a full GeoPandas API, PyFlink integration, perf boosts (ST_DWithin/ST_DistanceSphere), Libpostal support, Java 11/17 + Spark 4.0 upgrades, and more! 🔗

What are the trade-offs and differences between using H3 and Apache Sedona for geospatial analytics? Learn more in this deep dive with examples.

Next week, we'll be hosting our community office hour! We'll cover: 🗺️ New Area of Interest API in ST_Transform 🐼 GeoPandas API update ⚙️ 1.8.0 release preview 🌐 Geography type support 📍 Well-Known Locations lib Join us on Tues. 9/2: https://t.co/uQntD9WQeH

We're back with another Office Hour! We’re diving into the upcoming Sedona 1.8.0 release—including the latest updates on the GeoPandas API in Sedona, Spark 4.0 support, Sedona on PyFlink, Geo type support, and more. Mark your calendars for Tues. 8/5: https://t.co/Tz8zYk3qMy

Despite most data being collected from the physical world, general-purpose systems lacked support for geospatial data. That’s why we built Apache Sedona—to treat geospatial as a first-class citizen. Read the full feature on @BigDATAWireNews:

Don't miss our upcoming office hour next week on 7/1! We'll showcase new features in Sedona 1.8.0, including the GeoPandas API for Sedona, running Sedona on PyFlink, Spark 4.0 support, and more. 🗓️ Save the date: https://t.co/ChDgw9odDP

🚨 The latest in Cloud Native Geospatial Analytics with Apache Sedona (by O’Reilly) just dropped! This one’s all about using Sedona with cloud providers including Databricks, AWS, GCP, and more. See how Sedona fits your cloud stack.

🌎 Don’t miss our talk tomorrow 6/12 on Iceberg Geo Type: Transforming Geospatial Data Management at Scale. See a live demo of Iceberg Geo data type using Apache Sedona and Apache Spark, showcasing how it accelerates geospatial analytics workflows. https://t.co/6WcrDz7G6G

We’ll be at the Data+AI Summit all week! Come meet us at the Wherobots booth (E407), where we’ll be showcasing how you can use Databricks with Apache Sedona. 🧠 Join us for a Brain Date with the Apache Sedona PMC Chair. More details here: https://t.co/M5cEiRC6H5

🚀 We're back with another Apache Sedona Office Hour! We'll dive into some exciting features coming in the Sedona 1.8.0 release, including GeoPandas API on Sedona, Sedona on PyFlink, GeoParquet, and Parquet Geo types to name a few. Save the date here: https://t.co/OnVTNzGDIO

Join us for the next office hour to explore what's new in Sedona 1.7.1 and get a sneak peek at the upcoming 1.8.0 features. We'll cover broadcast join support, the STAC catalog and OSM PBF reader, a demo using Sedona with Overture Maps data, and more. https://t.co/iLi92Yd91Q

Join us for the upcoming Apache Sedona + Iceberg GEO meetup on 5/12 in San Francisco! We'll explore Apache Iceberg's new native geospatial support, which is designed to tackle key challenges in managing geospatial data at scale. More details here:

😎 We just released Sedona 1.7.1, with some cool features including: performance improvement for KNN join, SQL interface of GeoStats, STAC catalog reader, OSM PBF reader, and better GeoParquet file partitioning. Save the date for April 1st: https://t.co/ZdJyR7XR31

🚀 Apache Sedona 1.7.1 is out! New in this release: ✅ SQL GeoStats: ST_DBSCAN, ST_GLocal, ST_LocalOutlierFactor ✅ Broadcast join for distributed KNN ✅ STAC & OSM PBF reader ✅ New ST funcs like ST_RemoveRepeatedPoints No breaking changes! #ApacheSedona #Geospatial #BigData

The latest chapter of Cloud Native #GeospatialData with Apache Sedona, in partnership with @oreillymedia, just released! This will help boost your spatial analytics expertise and transform the way you work with spatial data. Check it out here: https://t.co/xqU0nLsD6d #SpatialSQL

The next Apache Sedona office hour is just around the corner on 3/4! We have a packed agenda with topics including KNN Join, DataFrame readers, upcoming 1.7.1 release such as the STAC reader, Iceberg/Parquet Geo reader/writer, and more. Save the date: https://t.co/Og2zUVgQuQ