Ember

Ember is an alternative data provider in the Free & Open Data category^[2], listed in the open provider register. Its coverage is focused on Global^[2]. It has been operating since 2020^[1].

Open datasets on global electricity generation, carbon intensity and energy transition indicators.^[1]

Overview

Ember sells to institutional buyers — hedge funds, asset managers and quant teams — looking for free & open data signals with a track record they can backtest. The register lists its delivery channels as Bulk, API^[2]. Its listings sit in the Free price band^[2].

Most alt-data engagements follow the same arc: a free sample, a historical backtest, a paid pilot and — if the signal survives — an enterprise license. The sections below describe what that process looks like for this kind of data, and what separates a usable product from an expensive story.

The signal

Free, openly licensed datasets published by governments, space agencies and international organizations: statistical series, satellite imagery, geographic layers and administrative records released without access fees. The category is the substrate on which much of the commercial alternative-data industry is built.

Portals index hundreds of thousands of datasets spanning demographics, trade, health, energy, land cover and Earth observation, including full archives of civilian radar and optical satellite missions with open licenses. Derived value comes from combining layers — night lights with electricity access, land-cover change with agricultural supply, corporate filings with procurement records — into indicators no single source provides.

Because everyone can access raw open data, edge comes from processing speed, feature engineering and fusion rather than exclusivity: early reads of crop conditions from free imagery, port congestion from AIS tracks, or inflation nowcasts from scraped official price indices. Open satellite archives also serve as free validation for paid geospatial products before committing budget. Buyers rarely use a single alt-data source in isolation: this kind of signal is typically combined with fundamental estimates or other datasets to build a composite edge.

Collection, delivery and evaluation

Agencies publish through catalog portals with APIs, bulk downloads and STAC-compliant image catalogs; cloud platforms host analysis-ready subsets so users process data in place. Teams build pipelines that monitor versioning and reprocessing notices, harmonize projections and classifications, and document provenance so downstream signals survive upstream methodology changes.

According to the register, Ember makes its data available via Bulk, API^[2]; delivery ergonomics matter, and buyers typically start with an API sample and move to bulk delivery (S3, Snowflake or Parquet) once a signal is validated. Before licensing data from Ember, a fund's data-sourcing team will typically check: history depth and survivorship, point-in-time correctness, coverage (the register lists Global)^[2], entity resolution to tickers or companies, and the compliance story behind collection. A practical sequence: request a free sample with a data dictionary, reconstruct a known historical window, and only then discuss licensing terms.

Openness does not imply fitness: schemas change, releases slip during budget disruptions, and documentation quality varies widely. Free imagery carries revisit-time and resolution limits, and popular datasets attract crowded trades where any informational edge decays quickly.

Who uses it

Quant funds prototype signals at zero data cost; GIS and climate teams build risk models on open imagery; journalists and NGOs use the same records for accountability work. Commercial vendors differentiate by cleaning, joining and servicing what governments publish for free.

Questions to ask Ember

What is the license precisely — attribution, share-alike, or unrestricted? How current is each dataset and what is the revision schedule? Which processing level do satellite products represent, and are analysis-ready versions available? What are rate limits and mirror options for bulk retrieval? Who maintains the dataset and what happens if funding stops?

History and landscape

Open-data mandates accelerated in the late 2000s when the United States launched its national catalog and Europe committed its flagship Earth-observation program to a free and open data policy, releasing continuous global satellite archives. Successive open-government directives expanded machine-readable release requirements across agencies, normalizing the expectation that non-sensitive public records be published in usable formats.

Within that lineage, Ember is one of 9 providers listed in the Free & Open Data category of the register; comparing their coverage, history depth and delivery is the fastest way to map the competitive landscape.

Compliance and legal considerations

Licenses range from public domain to attribution-required copyleft, and misreading terms creates redistribution risk. Personal-level administrative records remain exempt from open release under privacy law, so datasets that appear to expose individuals warrant scrutiny before use.

Complementary signals

Buyers of this signal typically combine it with these adjacent categories — cross-coverage lowers single-source risk and widens the alpha surface.

Further reading