SQL Lineage Tools for Azure Synapse
Dataedo
Dataedo provides SQL lineage tracking by visualizing how data flows through queries, transformations, and databases. This enhances transparency, supports troubleshooting, and ensures data accuracy across SQL-based environments.
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Collibra Data Lineage
Collibra Data Lineage extracts and maintains lineage automatically from source systems, SQL dialects, ETL tools, and BI tools. It provides detailed technical lineage at the table, column, transformation, and SQL query levels to quickly understand the impact of potential changes. Moreover, its interactive lineage diagram shows a summary of lineage from source to destination.
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Octopai
Octopai Data Lineage XD is the most complete, in-depth, and automated lineage tool that provides end-to-end lineage at the system level from the entry point into the data landscape, all the way to reporting and analytics. Its cross-system lineage reflects data flows and dependencies using automated and augmented methods to provide the most extensive cross-system view of the entire data landscape.
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Secoda
Secoda provides end-to-end data lineage across your entire data stack. It automates column and table level data lineage. In additional, Secoda also brings in tests, events, and ETL into data lineage. All of Secoda's lineage is automated, but users can also manually contribute to lineage using Secoda's API.
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Informatica Data Lineage
Informatica Data Lineage tool provides automated end-to-end data lineage with detailed and summary views of data movement across data pipelines. With Informatica, you can derive lineage from code in SQL scripts, stored procedures and AI/ML code. It streamlines tracking data flow from system- to column-level for detailed impact analysis.
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Fivetran
Fivetran is the automated data movement platform moving data out of, into and across your cloud data platforms. It allows you to monitor data movement, logs, and status from connector extract to successful warehouse load through modeling — all in one data lineage graph (DLGs). DLGs show the dependencies between your dbt models so that you can track the flow of data from your connectors to your destination.
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