Entity resolution inside your data platform, for data teams, vs. Informatica's enterprise MDM suite.
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Fortnum & MasonRedica SystemsOrthodox UnionDMG EventsCanadian Football League1.2k+ GitHub starsZingg runs inside Databricks, Snowflake, Fabric, Google Cloud or AWS and matches your tables where they are. No pipelines out, no second copy to secure or sync.
Label 40–50 pairs and Zingg learns how to block and match your data. No rules to write and no blocking keys to retune as data grows.
Zingg runs in the notebooks, Python and SQL your team already uses. Keep the configuration in Git, schedule it with Airflow or Workflows, and monitor it with the logs and alerts you already watch.
| Feature | Zingg | Informatica |
|---|---|---|
| Where it runs | Inside your Databricks, Snowflake, Microsoft Fabric, Google Cloud or AWS account, on your compute | Informatica's Intelligent Data Management Cloud |
| Cost of moving data | None. No pipelines out, no second copy | ETL into the MDM hub, a second copy, and sync back to your systems |
| Your data | Stays in your tables. Zingg reads them in place and writes resolved IDs back | Loaded into the MDM hub to be matched and mastered |
| How it matches | Learns blocking and matching models from 40–50 pairs you label; Enterprise adds deterministic rules in the same run | Configured match and merge rules, with AI-assisted tuning |
| Scope | Entity resolution: matching, clusters and a persistent ID on your tables | Full MDM suite: hierarchies, stewardship, governance and 360 applications |
| Open source | Open source core plus Zingg Enterprise | Proprietary |
| Pricing | Community is free; Enterprise is priced per deployment | Quote on request |
| Who runs it | Data teams, with their own notebooks, Git, orchestration and monitoring | MDM teams and data stewards, through Informatica's applications |
| Best for | Data teams resolving entities inside their own data platform, as a pipeline step | Full MDM programmes with hierarchies, stewardship and governance in one suite |
Zingg is a headless product. It resolves your records and writes a ZINGG_ID for every one of them to your tables. Most Zingg users then build golden records and stewardship with their data platform's SQL interface, in the tools their data team already runs.
Zingg matches records across your sources and assigns a persistent ZINGG_ID to each real-world entity.
Survivorship rules become SQL or dbt models over the resolved tables, versioned and tested like the rest of your pipeline.
Review and correct matches with SQL, notebooks or the BI and app tools your teams already use, with no separate MDM screen to learn.
For the matching and ID part, often yes. Zingg is headless, so it does not ship hierarchy or stewardship screens; most Zingg users build golden records and stewardship on the resolved data with their data platform's SQL interface.
Informatica MDM SaaS runs on Informatica's Intelligent Data Management Cloud, and records are loaded into the MDM hub to be matched.
Based on Informatica's public information, checked October 2026:informatica.com/products · success.informatica.com/learning-path
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Resolve every customer, supplier and product inside your data platform, on the tables you already have.