We're excited to announce the launch of a new open-source product, data-diff that makes comparing datasets across databases fast at any scale. data-diff automates data quality checks for data replication and migration. In modern data platforms, data is constantly moving between systems, and at the modern data volume and complexity, systems go out of sync all the time. Until now, there has not been any tooling to ensure that when the data is correctly copied. Replicating data at scale, across hundreds of tables, with low latency and at a reasonable infrastructure cost is a hard problem, and most data teams we’ve talked to, have faced data quality issues in their replication processes. The hard truth is that the quality of the replication is the quality of the data. Since copying entire datasets in batch is often infeasible at the modern data scale, businesses rely on the Change Data Capture (CDC) approach of replicating data using a continuous stream of updates.

Features

  • Find mismatches across databases
  • Outputs diff of rows in detail
  • Simple CLI/API to create monitoring and alerts
  • Verify 25M+ rows in <10s, and 1B+ rows in ~5min
  • Verifies across many different databases
  • Works for tables with 10s of billions of rows

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Project Activity

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License

MIT License

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Additional Project Details

Programming Language

Python

Related Categories

Python Database Software, Python Data Quality Tool

Registered

2022-07-23