Entity Resolution Inside Microsoft Fabric
Train and run Zingg privately on your own data in Fabric’s familiar notebook interface. Resolved entities with a persistent ZINGG_ID feed LLM applications, customer data platforms, enterprise knowledge graphs and the rest of your downstream applications.
Your Sources
- Web and mobile events
- CRM and ERP
- Application databases
- SaaS tools
- Third-party and advertising data
Your Fabric Workspace
Zingg notebooks
Runs on Fabric’s own Spark environment.Your Applications
- Reporting and BI
- CRM and marketing automation
- KYC and AML systems
- RAG, chatbots and AI agents
- Reverse ETL to operations
Familiar Notebooks, Private Data
Familiar Notebooks
Train and run Zingg from Fabric notebooks with the Zingg Python API. No new tools for your team to learn.
Private By Design
Zingg runs on Fabric’s Spark environment, so your records stay in your workspace.
Ready For What Comes Next
Resolved entities feed LLM applications, customer data platforms and enterprise knowledge graphs directly.
From Open Source To Enterprise
Zingg Community
A set of Fabric notebooks on the Zingg Python API that take you from setup to labeling training pairs, model documentation, and training and matching, on Parquet, Delta or other file formats.
Fabric notebooksZingg Enterprise
The Enterprise Python API with every supported source and sink, incremental flow, persistent ZINGG_IDs, explainability and model diff, plus support.
Talk to usMore Than Matching
ZINGG_ID
A persistent, global identifier for every resolved entity, so every team and agent joins on the same key.
Learn moreIncremental Flow
Match only new, updated and deleted records against the clusters already resolved. IDs persist between runs.
Learn moreExplainability
See the evidence behind every match, so you can explain results to business users.
Learn moreModel Diff
Confidently add new signals, update configuration and deploy models in production.
Learn moreZingg On Microsoft Fabric Questions
Does Zingg run natively on Microsoft Fabric?
Yes. Zingg is a Spark-based application, so it runs on Fabric’s Spark environment from Fabric notebooks.
Does my data leave Fabric?
No. Zingg trains and runs in your workspace, on your own data.
Which data does Zingg read on Fabric?
Zingg Community reads Parquet, Delta or other file formats. Zingg Enterprise supports every Zingg source and sink on Fabric.
How do I get started?
Import the Zingg Community notebooks into Fabric and run them in order, or follow the step-by-step guide.
What can I do with the results?
Use resolved entities and their ZINGG_IDs in LLM applications, customer data platforms, enterprise knowledge graphs and reporting.
Resolve Entities In Fabric
Start with the open source notebooks, or talk to us about Zingg Enterprise on Microsoft Fabric.