WherobotsDB is now 3x faster with up to 45% better price performance Learn why
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WherobotsDB is now 3x faster with up to 45% better price performance Learn why

Put geospatial data to work in your data lake

Turn spatial ideas into data products up to 20X FASTER with spatial SQL, Python, or Java. Bring the most performant, cost effective, and easy-to-use cloud platform for spatial analytics to data in your cloud storage.

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Challenges preventing data teams from innovating with spatial data.

Legacy solutions don’t perform at scale.

Constrained to a single machine or traditional databases that only scale vertically.

“Modern” cloud engines are geo-incomplete.

Geospatial support in the cloud is second-rate, delivering underwhelming performance and suboptimal DevEx.

LLM AND CODE GEN SYSTEMS AREN’T SKILLED IN SPATIAL

Knowledge of spatial data functions requires fine tuned expertise.

What you get with Wherobots Cloud

Elevated spatial data productivity.

Unified analytics of various data types at speeds orders of magnitude faster (typically 5-20x faster) than popular cloud engines, at a fraction of the cost.

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An open core geospatial platform in the cloud.

Offering Apache Sedona compatibility, unified analytics of vector and raster data, 300+ functions, and an abundance of native spatial ETL and AI capabilities.

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Expertise embedded accelerating time to value

Let the product guide you through models, compute and learning journeys built into the user experience. Accelerate your time to productivity with our guidance.

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CAPABILITIES

Discover

Discover the data, models, notebooks, jobs and the compute you need to accelerate your analysis of the physical world.

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Build

Build and scale pipelines to analyze the physical world.

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Automate

Integrate Wherobots into your data workflows for full automation and optimal performance.

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Compute

WherobotsDB, fully compatible with Apache Sedona, is the engine built for physical world data.

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AI for Earth

The only integrated service for building intelligence with vector, raster, and tabular data together, at any scale.

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