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Planetary-scale geospatial solutions are now accessible via Wherobots on the AWS Marketplace
We’re thrilled to announce that Wherobots is generally available for AWS customers with pay-as-you-go pricing via the AWS Marketplace. AWS customers can subscribe to a 30 day, free trial of the Wherobots Professional Edition for up to $400 in usage, and discover how easy it is to create spatial solutions that propel their business forward. The integration with the AWS Marketplace simplifies the Wherbots buying and usage experience, particularly those with AWS commitments or discounts that apply to AWS Marketplace spend. Coupled with a secure integration to run Wherobots on private or public S3 buckets, Wherobots is where the next generation of geospatial solutions are developed on AWS.
Many companies have significant investments in assets, products, or services that are influenced by our dynamic world. To be competitive, adaptive, and profitable, companies need to accelerate the velocity of decisions about these investments.
These industries are modernizing with the cloud, but services in the cloud haven’t made it easy to create these types of solutions, until now.
If these types of solutions resonate with your business, I’d wager that if you asked your teams to produce ideas that rely on geospatial data, they’d have a lot to share. But the reality is most teams are not enabled to unlock these ideas. They will say it’s really hard, if not infeasible to turn these ideas into solutions that propel your business forward. Which also means the ideas are put on the back burner or considered far-fetched.
Built on and fully compatible with Apache Sedona, Wherobots is the Spatial Intelligence Cloud. Wherobots offers geospatial ETL, analytics, and AI solutions that make it easy for data scientists and engineers to create spatial data products, and the intelligence that drives their business forward. Wherobots delivers industry leading scalability and spatial computing performance on your data lake. It’s up to 20x more performant than Apache Sedona and Apache Spark using a serverless analytics and inference engine optimized for spatial operations. Development is unified across what are otherwise siloed data types – raster (satellite and drone imagery) and vector (mobility data, polygons, trips, roads) data. And solutions can be built with SQL, Python, or Scala in a notebook, putting solutions in-reach to common developers. There’s 300+ built in functions and higher level features, like Map Matching, Geostats, and Raster Inference to accelerate development. With pay-as-you-go pricing on the AWS Marketplace, Wherobots is where the next generation of spatial data solutions are built.
Wherobots customers like AddressCloud and Overture realized typical performance gains of 5-20x, lower costs, and objectively higher developer productivity after migrating their Apache Sedona workloads into Wherobots.
AddressCloud helps insurers calculate geographic risk
“Wherobots has given us the potential to run jobs that used to take hours or days to minutes and removed the need to think about provisioning compute. As we provide perils information (flood, fire, etc) to insurers at the property level, we particularly appreciate the ability to be able to run combined vector/raster analysis, without having to previously transform the raster data into vector format or some other format,” said John Powell, Senior Geospatial Data Engineer at Addresscloud.”
Overture provides current and next-generation map products by creating reliable, easy-to-use, and interoperable open map data
“Overture produces a building dataset covering all buildings in the world, with 2.3B geometries and growing, that’s updated frequently. There’s a lot of data and compute that goes into producing and keeping it up to date,” said Jennings Anderson, Geoscientist at Overture and Data Engineer at Meta. “We accelerated the pipelines that produce the buildings dataset by up to 20x after we moved them to Wherobots, which required a simple redirection of our code. We retained compatibility with Apache Sedona, and the move put us into a development experience that’s made us more productive.”
From your AWS account, subscribe to the Professional Edition of Wherobots on the AWS marketplace. You can get started risk-free in the professional edition with features required by production workloads. We’ve built tens of example notebooks to help you go from zero to iterating with spatial data in minutes.
Our mission is to make it easy for our customers to utilize geospatial data. We cannot complete our mission without your input, and are working with a variety of customers to shape what we do next. If you are invested in the problems we are solving, and have an idea to improve our product, please contact us at feedback@wherobots.com, or contact me directly at damian@wherobots.com. I’m eager to hear from you, and we are there to help you innovate with Wherobots on AWS.
Key takeaways
Subscribe to the Professional Edition on AWS Marketplace from your AWS account. Spend can apply toward AWS commitments, and you can start with a 30-day trial of up to $400 in usage.
The post states Wherobots is up to 20x more performant than Apache Sedona and Apache Spark. AddressCloud and Overture are cited with typical gains of 5-20x after migrating Sedona workloads.
Jennings Anderson says Overture’s world buildings dataset has 2.3 billion geometries. Pipelines that produce it accelerated by up to 20x after a simple redirection of existing Apache Sedona code.
Yes. The post describes a secure integration to run Wherobots on private or public S3 buckets so spatial ETL, analytics, and AI stay on the data lake.
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