the cloud platform for
weather and climate data |
Cloud-native tensor data management to accelerate problem-solving for our rapidly changing world.
Explore platformTrusted by leading institutions and ground-breaking innovators
Data cubes pose unique challenges
Conventional data platforms struggle with multidimensional array data. Teams often build custom solutions, wasting months of development time. Earthmover provides a better approach to array data management.
Why tables fall short for tensor dataFinally, a platform purpose-built for tensor data
Deliver powerful and scalable data products, streamline operations, and reduce storage and maintenance costs
Industry-leading performance for data science and AI
Earthmover's cloud native data architecture eliminates I/O bottlenecks and accelerates data-intensive applications.
Central source of truth for fast-paced collaboration
Find, share, update, and audit your tensor data assets all in one place. Experiment and prototype quickly and safely with git-style data version control.
Scalable APIs for rapid data and product delivery
Remove bottlenecks from data exploration and product delivery with scalable APIs for querying large array datasets via OGC EDR, OpenDAP, WMS — or direct Xarray interaction.
Built by the leaders behind the open source standard for scientific data
Accelerate your roadmap with expert guidance from climate scientists and data engineers building the leading open source solutions and defining the modern workflow for multidimensional data. The team maintains critical open-source scientific Python packages, including Xarray, Zarr, and the Pangeo Project, used by teams at NVIDIA, NOAA, Google, Microsoft, and more.
Learn about open source leadershipAccelerate insights and innovation
Modernize data operations so you can focus on what you do best.
Before (Data Swamp)
With Earthmover
Unify data and governance
Centralize data access, data cataloging, and git-style version control, so teams can collaborate in real-time and maintain data provenance. Simplify data pipelines, reduce code complexity, and avoid DevOps bottlenecks, even as datasets scale.
Optimize I/O performance for AI/ML and Data Science
Most data science workloads are I/O bound. Accelerate model training, analytics, and decision making as you scale with a universal cloud-native tensor storage engine.
Production-ready data delivery
Explore and analyze datasets with your preferred tools. Easily operationalize and distribute datasets and data products with scalable, standards-compliant APIs.
Empower cutting-edge workflows and solutions
Learn how customers use Earthmover to modernize data workflows for weather forecasting, climate modeling, environmental monitoring and more.
Case Study Scaling Carbon Market Intelligence: Sylvera's Path to Data Efficiency
How a leading carbon ratings provider eliminated data bottlenecks with Arraylake's cloud-native geospatial platform
Learn more
Case Study ALIVE at The University of Wisconsin-Madison
The University of Wisconsin-Madison is home to a research team called Advanced Baseline Imager Live Imaging of Vegetated Ecosystems (ALIVE).
Learn more
Advancing problem solving for humanity's biggest challenges
At Earthmover, we envision a world in which scientific data can be explored, visualized, analyzed, shared, and built upon effortlessly. We are providing a foundation for people and organizations to create new scientific knowledge and data-driven products which will help humans thrive in sustainable harmony with each other and with our planet.
Learn more about our team and missionLatest from the blog
View all posts →Announcing IceChunkCoin: The World's First Multi-Dimensional, Chunk-Native Blockchain Asset
Today we’re thrilled to announce IceChunkCoin, the world’s first hyper-dimensional, chunk-native blockchain asset.
Cursed venvs, Confident Releases: Testing Icechunk Across Major Versions
Earthmover built third-wheel, an open-source tool that rewrites Python wheels to install multiple versions of a library in one environment, enabling cross-version compatibility testing for the Icechunk V2 release.