Onix Pelican: cell-level validation at enterprise scale
Data validation in financial services has a problem that rarely gets discussed openly: the process of checking data often creates the very risks that data governance programs are designed to prevent. When validation requires moving data between systems, every transfer is an opportunity for exposure, loss, or discrepancy. For institutions operating under strict regulatory requirements, that trade-off is increasingly difficult to justify.
Onix Pelican was built around a different assumption: that validation should happen where the data lives, not where it is sent. The tool's IP-driven hashing mechanism allows direct comparison of source and target records without physically moving them. For a major US banking institution that recently deployed Onix Pelican, the practical outcome was a validation process that was simultaneously more secure and less expensive than what it replaced.
The technical approach behind Pelican, data validation tool, is worth understanding in some detail. Compression to 0.001% of original data size means that even when some data interaction is necessary, the footprint is minimal. Cell-level verification means that accuracy is confirmed at the most granular level, not inferred from aggregate comparisons. Parallel processing means that validation runs that once took days can complete in a fraction of the time.
For data engineering and cloud infrastructure teams supporting financial services clients, Onix Pelican addresses a gap that general-purpose validation tools were not designed to fill. The ability to decommission legacy systems with verified confidence—knowing that every cell of data has been checked and reconciled—is a capability that compliance and risk teams genuinely need.
In a sector where data integrity is not optional, Pelican, data validation tool from Onix, offers something rare: a solution that is both technically sound and practically deployable within real enterprise constraints.
