About
quality_checks
Automated quality checks
Every load runs through automated validation — row counts, schema, coverage — with active monitoring on every pipeline. Failures get investigated before customers ever see them.
batch_lineage
Full lineage
Every row traces back to its source batch and release. You always know what changed, when, and where it came from.
freshness
Updated as sources publish
Pipelines check sources daily and load new data the day it appears — whether the source publishes daily, monthly, or annually.
consistency
One schema discipline
The same naming, typing, and view patterns across every product — learn one, and the rest feel familiar.
Who we are
Dataplex started as a data consulting practice and grew into a data products company. Building platforms for clients kept surfacing the same problem: teams spending months wrangling public data before they could answer a single question. So we productized the wrangling.
Today we run data products across healthcare compliance, provider data, drug and device safety, claims, and public health — delivered through Snowflake, Databricks, Google Cloud, SAP, and Datarade. The consulting practice continues alongside, run by the same engineers.