SQL Server
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Amazon Redshift
Azure SQL Database
DBT
Google Big Query
IBM DB2
MariaDB
SAP HANA
Snowflake
SQLite
Teradata
Vertica
Data lineage tools for Apache Hive
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.
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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Dremio
Dremio is a SQL Lakehouse Platform built from the ground up to deliver high-performing BI dashboards and interactive analytics directly on the data lake. It offers effective data lineage support, as the relationships between your data sources, virtual datasets, and all your queries are maintained in Dremio’s data graph, telling you exactly where each dataset came from.
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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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Cloudera Navigator
Cloudera Navigator is the complete data governance solution for Hadoop. Cloudera Navigator automatically collects audit logs from across the entire platform and maintains a full history, with a unified, searchable audit dashboard for simple, point-in-time visibility. With automatic collection and visualization of column-level lineage, users can also quickly identify the origin, usage, and impact of a dataset.
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IBM InfoSphere Information Governance Catalog
IBM InfoSphere Information Governance Catalog is a web-based tool that allows you to explore, understand, and analyze information. It lets you run data lineage to create trusted information that supports data governance and compliance efforts. You can perform lineage analysis to understand where data comes from or goes to by using shared table information, job design information, or operational metadata from job runs.
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Kylo
Kylo is an open source enterprise-ready data lake management software platform. It lets you search and explore data and metadata, view lineage, and profile statistics. Visual process lineage and provenance provide confidence in the origin of data. Automatic data profiling provides capabilities for data scientists and assurance in data quality.
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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.