Harmonize Every Source
Standardize timestamps, units, naming, and sampling intervals so every dataset speaks the same language.
The environmental data platform
Datasparks turns logger files, field readings, and live feeds into one defensible dataset — timestamps aligned, units harmonized, quality scored — without hiring a data engineer.

The hidden cost of growth
Most teams aren't struggling because they lack data. They struggle because every new source creates another spreadsheet, another script, another manual process, and another opportunity for errors.
Datasparks replaces fragile, one-off workflows with an automated platform that keeps your data connected, consistent, and ready to use.
Held together by hand, fragile at every step.
Built to run itself.
For raw data to trusted answers
Start here · Repeatable ingestion
Bring together files, databases, cloud storage, sensors, and APIs with repeatable connectors that keep new data flowing automatically.
See how connectors work
Standardize timestamps, units, naming, and sampling intervals so every dataset speaks the same language.
Automatically apply quality rules, flag issues, calculate quality scores, and maintain a complete audit trail.
Create analysis-ready datasets that update themselves whenever new data arrives.
Visualize trends, compare metrics, and deliver trusted data without exporting files between tools.
Generate summaries, statistics, and dataset insights instantly to help your team understand data faster.
Start a free project in minutes. Bring your data, see it harmonized and scored, and share results your team can trust.