SQL Server
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MySQL
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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 MongoDB
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. It improves transparency, supports impact analysis, and ensures data integrity across an organization.
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Global IDs
Global IDs Data Lineage provides automated analysis of the actual flow of data through your enterprise, enabling you to understand – in real-time – where data originates, how it flows through the ecosystem, and how it is transformed en route.
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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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IBM Watson Knowledge Catalog
IBM Watson Knowledge Catalog is an open and intelligent data catalog for managing enterprise data that also lets you ensure well-structured and maintained data lineage. It lets you track where data originated and how it’s consumed, increasing trust when accessing data across many sources and destinations
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MetaCenter
MetaCenter automates data lineage analysis across Databases, ETL, Business Intelligence, Cloud, and Hadoop environments. It lets you reduce data management costs by automating data lineage and impact analysis documentation.
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Tree Schema
Tree Schema lets you explore your data lineage and understand where your data comes from and where it is going. It leverages the APIs in your database and dashboard tools to automatically extract your data lineage. Granular field-level source to target mapping provides an end-to-end view for your data lineage while describing connections between databases.
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OvalEdge
OvalEdge offers a comprehensive lineage solution to show a complete the complete data cycle. OvalEdge algorithms parse various kinds of source code to build the lineage automatically and then it is enhanced by experts with proper descriptions.
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ER/Studio
ER/Studio is an enterprise data modeling, architecture, and governance tool. It comes with a data lineage tab which is used to primarily document ETL processes from scratch. With visual data lineage support, you can visually document source/target mapping and sourcing rules for data movement across systems.
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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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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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erwin Data Catalog
erwin Data Catalog automates enterprise metadata management, data mapping, code generation, and data lineage for faster time to value and greater accuracy for data movement and deployment projects. It lets you generate on-demand lineage down to the column level and visualize data flows from source systems all the way to the reporting layers, including all transformations. Fully configurable and navigable lineage diagrams provide high-level business views as well as detailed technical depictions.
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Keboola
Keboola is a cloud-based data integration platform that helps clients combine, enhance, and publish crucial information for their internal analytics projects and data products in a quick and easy fashion. It collects all kinds of operational metadata, describing user activity, job activity, data flow, schema evolution, data pipeline performance, compliance with a client’s security rules, etc. Based on the metadata, we are able to build data lineage on the fly and automatically. This makes it possible to understand where the data is coming from and how it is used, both for analytical and regulatory purposes.
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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.