Features
Deterministic Entity Resolution
We execute your dbt model at the time of the sync, so your destinations always have the freshest data.
Match Rules
Match Rules are the criteria you use to identify duplicate or associated records. For example, you can match users based on email address, mailing address or customer IDs.
Fuzzy Match
Fuzzy match uses machine learning to map similar field values. Census also allows you to select confidence level for the Fuzzy Match. You can choose between low, medium and high confidence levels.
Merge Rules
Merge rules help you identify the winning record among the duplicates. The ID of the winning record becomes the primary ID and is useful while syncing back to your business applications.
Column Overrides
Column Overrides help you keep column values from records that might be merged. You have granular control over fields that are preserved in the final record, resulting in more complete data.
Lineage
Census automatically tracks every transformation and updates made to your dataset. A dedicated column stores detailed lineage metadata, allowing you to audit changes over time and maintain full visibility into how your data evolves.
Benefits
Dedupe once,
use everywhere
Stop buying point solutions to dedupe Salesforce, Marketo, and HubSpot individually. Clean your data once and use it everywhere.
No more
manual work
Ditch your spreadsheets, hacks, and workarounds. Dedupe millions of records with consistent match rules and version control.
Self-serve your
data needs
No need to rely on technical teams to fix data for you. Start cleaning up duplicates in minutes in our intuitive UI.
200+ integrations. And more added daily.
