SQL Server
Oracle
MySQL
PostgreSQL
Amazon Redshift
Azure SQL Database
DBT
Google Big Query
IBM DB2
MariaDB
SAP HANA
Snowflake
SQLite
Teradata
Vertica
Data lineage tools for Databricks
Data lineage tools are software that allows to extract, view and analyze data lineage. Data lineage is the process of understanding and visualizing data flow from the source to different destinations. It allows to create a map of the data journey through the entire ecosystem.
Dataedo
Dataedo allows you to extract lineage automatically or design flows manually and visualize how data moves through the system with interactive diagrams. Dataedo supports object and column-level data lineage.
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Atlan
Atlan provides effortless data lineage & governance by letting you auto-construct data lineage & deploy best-in-class data access governance without compromising on data democratization. It automatically parses through your SQL query logs in your data warehouses and BI tools to create a visual view of data lineage.
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Alteryx Connect
Alteryx Connect uses powerful search capabilities to find and reuse information contained in data files, databases, visualizations, dashboards, workflows, analytic apps, and more. It lets you automatically capture and visualize data lineage between assets, improving the overall quality and reliability of shared information between data, process, and people. You can get technical data lineage by loading metadata from source and target systems and interpreting Alteryx workflows.
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Informatica Metadata Management
Informatica Metadata Manager is a web-based metadata management tool. You can view data lineage for objects in the Metadata Manager warehouse. Data lineage shows the origin of the data, describes the path, and shows how it arrives at the target. Use data lineage to analyze data flow and troubleshoot data transformation errors.
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Talend Data Catalog
Talend Data Catalog gives your organization a single, secure point of control for your data. Its data flow lineage feature allows you to narrow in on specific objects and shows you how these objects are related to each other, within a model, an external metadata repository, or a configuration. The data flow lineage is based upon connection definitions to data stores and physical transformation rules which transform and move the data.
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Secoda
Secoda is a data discovery tool that offers an intuitive, collaborative, and easy to implement data discovery built. It automatically extracts queries to generate data lineage. Currently, it is supporting table lineage for Snowflake, dbt, Redshift, and BigQuery, with support for Postgres, MySQL, and Microsoft SQL Server coming soon. Secoda data lineage can help data teams identify the downstream and upstream dependencies of a table easily. On each dependency, you will be able to see how many levels away a particular table is, with the ability to view the data in a visual form coming soon.
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Data lineage forms the foundation for accurate data analytics and management. The core features of data lineage focuses on:
• Identifying data quality issues.
• Performing root cause analysis.
• Enabling to understand which data sources are outdated or which datasets are relevant.
• Minimizing the risk of migration projects.
• Providing transparency over the life cycle of data.
Data lineage tools map the data flow and help you understand where the data originated, how it flows and transforms. To help you find the right tool for your company, we prepared a list that includes some of the best data lineage tools.