Welcome to Zingg
Step-By-Step Guide
Data Sources and Sinks
Working With Python
Running Zingg on Cloud
Zingg Models
- Pre-trained models
Improving Accuracy
- Ignoring Commonly Occuring Words While Matching
- Defining Domain Specific Blocking And Similarity Functions
Documenting The Model
Interpreting Output Scores
Reporting bugs and contributing
- Setting Zingg Development Environment
Community
Frequently Asked Questions
Reading Material
Security And Privacy

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Data Sources and Sinks

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Last updated 1 month ago

Zingg connects, reads, and writes to most on-premise and cloud data sources.

Zingg can read and write to Databricks, Snowflake, Cassandra, S3, Azure, Elastic, Exasol, major RDBMS, and any Spark-supported data sources. Zingg also works with all major file formats like Parquet, Avro, JSON, XLSX, CSV, TSV, etc. This is done through the Zingg pipe abstraction.