Open Data Cube
Open Data Cube is an open-source Python framework for managing and analyzing large volumes of satellite imagery and Earth observation data, distributed free under Apache 2.0. It serves scientists, researchers, and government agencies through institutional partner deployments including Digital Earth Australia, Digital Earth Africa, and the Swiss Data Cube.
- Company typePrivate
- Founded-
- Headquarters—
- Headcount—
- GTM typeB2B
- OfferingSoftware
What Open Data Cube does
Open Data Cube (ODC) is an open-source software project that provides a unified analytical framework for accessing, managing, and analyzing large volumes of satellite imagery and other Earth observation (EO) data. The platform is built in Python and exposes both a Python-based API for high-performance querying and a REST API for integration with third-party systems. Core technical components include Dask-driven parallel computing for scalable processing, adherence to the CEOS Analysis Ready Data (ARD) standard to minimize preprocessing, native support for formats such as GeoTIFF, Cloud Optimized GeoTIFF, NetCDF, and CSV, and integration adapters for QGIS, ArcGIS, and OGC Web Services. The product portfolio spans ODC Core (the foundational data layer), ODC Explorer (web UI), ODC Stats (advanced analysis), command-line tools, Jupyter notebook research artifacts, and a library of pre-built algorithms including spectral indices (NDVI, NDBI, NDWI), Water Observations from Space (WOfS), and change detection.
ODC originated from the "Unlocking the Landsat Archive" and Australian Geoscience Data Cube (AGDC) projects and is stewarded under the CEOS (Committee on Earth Observation Satellites) framework, with institutional partnerships spanning Geoscience Australia, NASA/CEOS, the United States Geological Survey (USGS), CSIRO, and Analytical Mechanics Associates. The project underpins four major national and regional implementations: Digital Earth Australia, Digital Earth Africa, the Swiss Data Cube (presented at the GEO Virtual Symposium 2020), and a Colombian deployment, serving scientists, researchers, and government agencies engaged in environmental monitoring, land use analysis, resource management, and policy decision-making.
The business model is non-commercial: ODC is 100% open source under the Apache 2.0 license, distributed freely via GitHub with no pricing tiers, no licensing fees, and no direct revenue stream. Distribution is fully self-serve, with users deploying the software independently on HPC clusters, cloud platforms, or local infrastructure. Community engagement runs through GitHub, Medium, YouTube, Discord, X (Twitter), Read the Docs, and GIS Stack Exchange. There are no disclosed funding rounds, no headcount, no parent company, and no commercial sales motion — the project is sustained by its institutional partners and the broader Earth observation community.
Open Data Cube firmographics
Firmographics- Name
- Open Data Cube
- Legal name
- Open Data Cube
- Website
- https://opendatacube.org
- Company type
- Private
- Operating status
- Operating
- Short description
- Open Data Cube is an open-source Python framework for managing and analyzing large volumes of satellite imagery and Earth observation data, distributed free under Apache 2.0. It serves scientists, researchers, and government agencies through institutional partner deployments including Digital Earth Australia, Digital Earth Africa, and the Swiss Data Cube.
- Ownership category
- akta.pro rank
Open Data Cube industry classification
Industry- Product category
- Geospatial Analytics Software
- NAICS
- Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518)
- SIC
- Services-Prepackaged Software (7372)
- akta.pro primary industry
- Remote Sensing & Earth Observation Analytics (Satellite/UAV/LiDAR, Image Processing) (EUAHAKAD)
- akta.pro secondary industries
- GIS & Spatial Data Management Platforms (BPAMANAK), Data Platform (Unified Data & Analytics) Suites (HDAEABAD)
Keywords
Open Data Cube business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Operations, Infrastructure, Others
Revenue model
- Open Source Free Software: The Open Data Cube is 100% open source software, free for all to use under the Apache 2.0 license. There is no direct revenue model; the project is community-driven and supported by institutional partners for humanitarian and scientific purposes.
Go-to-market motion1 record
Distribution channels3 records
Marketing channels8 records
Open Data Cube product offering
Product offeringCore offering
Open Data Cube is a free, open-source software package (Apache 2.0) that provides a unified analytical framework for accessing, managing, and analyzing large quantities of Earth observation satellite imagery and other gridded GIS data. It delivers a Python-based API, Dask-powered parallel processing, CEOS Analysis Ready Data integration, and REST API connectivity, enabling deployment on HPC clusters, cloud platforms, or local installations for environmental monitoring, land cover mapping, and time series analysis.
Product overview
The Open Data Cube (ODC) is a free, open-source software package that provides a unified analytical framework for managing and analyzing large amounts of satellite imagery and Earth observation data. The product portfolio is organized around ODC Core (the foundational data management and API layer), complemented by ODC Explorer (web interface), ODC Stats (analysis tool), Command Line Tools (developer interface), and Jupyter Notebooks (research documentation). Pre-built algorithms including spectral indices (NDVI, NDBI, NDWI), Water Observations from Space (WOfS), and change detection are available as modules. The ecosystem includes national and regional implementations such as Digital Earth Australia, Digital Earth Africa, and the Swiss Data Cube. The platform supports flexible deployment on HPC clusters, cloud platforms, and local installations, and integrates with common GIS tools like QGIS and ArcGIS via OGC Web Services adapters.
Differentiator
Problem solved
Functional benefit
Products and services
- ODC Core The foundational open-source software layer of the Open Data Cube that provides data structures and tools for organizing and analyzing large gridded Earth observation data collections. Serves as the layer between satellite data providers and applications, with a Python-based API and ARD integration.
- ODC Explorer A visual and interactive web application that allows users to explore their inventory of available satellite data managed by the ODC.
- ODC Stats (Statistics Tool) An optimized means of defining and executing advanced analysis on the ODC system, oriented towards scientists performing complex analyses.
- ODC Command Line Tools Developer tools for interfacing with the Open Data Cube via command line, enabling programmatic data access and management.
- ODC Jupyter Notebooks Research documents containing executable code with examples of how the data cube is used in Earth observation science research settings.
- ODC Algorithms Pre-built algorithms for common analyses including NDVI calculation, change detection, spectral indices (NDBI, NDWI), and Fractional Cover products.
- Water Observations from Space (WOfS) Automated water mapping algorithm that detects surface water in satellite images and calculates the percentage of time water was observed at each location.
- Digital Earth Australia (DEA) National-scale data cube implementation providing continental-scale land cover mapping and environmental monitoring for Australia using Landsat imagery from 1988-2020.
- Digital Earth Africa Regional data cube implementation providing routine, reliable Earth observation services for Africa to support policy makers, scientists, and civil society.
- Swiss Data Cube National-scale data cube implementation supporting Digital Switzerland initiatives for satellite data analysis and environmental monitoring.
Quantifiable outcome
- Land cover maps generated at national scale (Australia) at 25m resolution using Landsat imagery from 1988-2020
- +1 more outcomes
Companies that use Open Data Cube
Customer profileNamed customers3 records
Segments4 records
Ideal customer profiles3 records
Open Data Cube technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration3 records
AI capability7 records
Feature7 records
Open Data Cube partnerships and signals
Strategic signalPartnerships
Five partnerships are on record, tiered core.
- Geoscience AustraliacoreInstitutional partner supporting the Open Data Cube initiative. Developed the Australian Geoscience Data Cube (AGDC) which was a precursor to the ODC. Hosts Digital Earth Australia, a national-scale implementation of ODC technology.
- NASA / Committee on Earth Observation Satellite (CEOS)coreFounding partner in the ODC initiative through CEOS. Provides stewardship and contributions to the ODC architecture as part of the ODC community. CEOS has utilized prototype efforts to demonstrate functionality and impact of ODC.
- United States Geological Survey (USGS)coreInstitutional partner supporting the Open Data Cube initiative. USGS provides satellite data and technical expertise to advance the ODC architecture.
- Commonwealth Scientific and Industrial Research Organisation (CSIRO)coreInstitutional partner in the Open Data Cube initiative. CSIRO contributes to the development and advancement of ODC technology and applications.
- Analytical Mechanics Associates (AMA)coreInstitutional partner supporting the Open Data Cube initiative through contributions to the ODC architecture and community.
Scale indicators3 records
Recent moves1 record
Expansion highlights4 records
Open Data Cube competitors and assessment
Company assessmentOthers
- Planet Labs: Commercial satellite operator providing high-cadence Earth observation imagery (PlanetScope, SkySat) that is increasingly integrated into ODC-compatible Analysis Ready Data pipelines. Functions as an upstream data provider rather than a direct analytics competitor to ODC.
- Maxar Technologies: Provider of high-resolution commercial satellite imagery and derived geospatial analytics products. While not a direct ODC competitor, Maxar's imagery feeds ODC-compatible EO analysis workflows for defense, intelligence, and government customers.
- NASA EOSDIS: NASA's Earth Observing System Data and Information System providing the public data infrastructure (including Landsat and MODIS archives) that ODC analyzes. Acts as an upstream data provider and ecosystem partner rather than a competing analytics platform.
Direct peers
- Google Earth Engine: Google's cloud-based platform for petabyte-scale Earth observation data analysis, offering a similar analytical framework for satellite imagery including Landsat, Sentinel, and MODIS datasets. It is the most direct commercial competitor to ODC for government and scientific EO analytics workloads.
- Sentinel Hub: Cloud-based satellite imagery processing platform (by Sinergise) offering APIs for Earth observation analytics across Sentinel, Landsat, and commercial constellations. Closely comparable to ODC in providing scalable, multi-format satellite data access and pre-built analytics algorithms.
- Microsoft Planetary Computer: Microsoft's cloud platform providing Analysis Ready Data catalogs, STAC API, and Jupyter-based analytics for global geospatial datasets. Directly competes with ODC's mission of lowering barriers to Earth observation analysis through cloud-hosted, open data infrastructure.
- Radiant Earth Foundation: Non-profit organization developing open-source tools and training data for Earth observation and machine learning applications. Operates a similar mission-driven, open-community model to ODC and is a natural peer in the open geospatial analytics ecosystem.
Broad incumbents
- Hexagon Geospatial: Provider of geospatial software platforms (ERDAS Imagine, M.App, GeoMedia) serving government and enterprise Earth observation and spatial analytics customers. Competes with ODC in the government EO analytics segment through commercial licensed offerings.
- Esri (ArcGIS): Largest commercial GIS platform with deep penetration across government agencies that also use ODC. While ArcGIS is a broader GIS suite rather than an EO-specific analytics platform, it competes for the same government Earth observation and spatial analysis budget allocations.
- AWS Open Data / Earth on AWS: Amazon's open-data program hosting petabytes of Earth observation satellite imagery (Landsat, Sentinel, MODIS, NEXRAD) on S3 for free analysis. While broader in scope, it competes directly with ODC's national-scale Data Cube implementations by offering free cloud-hosted EO data with integrated AWS analytics.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks5 records
Key highlights6 records
Customer concentration
Open Data Cube social profiles
Digital presenceOpen Data Cube financial estimates
Financial estimateRevenue estimate
Valuation estimate
Open Data Cube leadership team
Management profileNumber of profiles
Open Data Cube funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Open Data Cube M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Open Data Cube
What does Open Data Cube do?
Open Data Cube is a free, open-source software package (Apache 2.0) that provides a unified analytical framework for accessing, managing, and analyzing large quantities of Earth observation satellite imagery and other gridded GIS data. It delivers a Python-based API, Dask-powered parallel processing, CEOS Analysis Ready Data integration, and REST API connectivity, enabling deployment on HPC clusters, cloud platforms, or local installations for environmental monitoring, land cover mapping, and time series analysis.
Is Open Data Cube a public or private company?
Open Data Cube is a private company. It is classified as nonprofit foundation owned and is currently operating.
When was Open Data Cube founded?
Open Data Cube was founded in -1.
How does Open Data Cube make money?
One revenue line is on record: open Source Free Software.
Who are Open Data Cube's main competitors?
Others on record are Planet Labs, Maxar Technologies and NASA EOSDIS. Direct peers are Google Earth Engine, Sentinel Hub, Microsoft Planetary Computer and Radiant Earth Foundation. Broad incumbents are Hexagon Geospatial, Esri (ArcGIS) and AWS Open Data / Earth on AWS.
Does Open Data Cube have an API?
Yes. The Open Data Cube provides a Python-based API for high-performance querying and data access. It also includes a REST API that enables easy connection to web services and third-party software. The platform supports interactive data science and scientific computing. Developer documentation is at datacube-core.readthedocs.io/en/latest/index.html.
What industry is Open Data Cube in?
Open Data Cube's product category is Geospatial Analytics Software. Its primary akta.pro industry code is EUAHAKAD, Remote Sensing & Earth Observation Analytics (Satellite/UAV/LiDAR, Image Processing), with a secondary code of BPAMANAK, GIS & Spatial Data Management Platforms. Its NAICS code is 518 and its SIC code is 7372.