SQL Lineage Tools for MySQL

Dataedo

Dataedo allows you to extract lineage automatically or design flows manually and visualize how data moves through the system with interactive diagrams.

Automatic discovery: Yes
Data flow visualization: Yes
Environment: On-premises
Free edition: No
Metadata management: Yes
Version control integration: Yes
Dataedo Data Lineage

SQLFlow

SQLFlow is an online SQL data lineage tool that visually represents the overall flow of data. It offers automated SQL data lineage analysis across Databases, ETL, Business Intelligence, Cloud, and Hadoop environments by parsing SQL Script and stored procedure. It enables impact analysis at a granular level, drilling down into table, column, and query-level lineage.

Automatic discovery: Yes
Data flow visualization: Yes
Environment: Online
Free edition: No
Metadata management: Yes
Version control integration: Yes

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.

Automatic discovery: Yes
Data flow visualization: Yes
Environment: Online
Free edition: No
Metadata management: No
Version control integration: No

Alvin

Alvin provides column-level highly accurate lineage and usage data across your entire data stack, and a host of features that help your team deliver measurable business impact. It lets you search and filter your assets by usage, last used, tags, data sensitivity, parent, platform, type, any pretty much anything else you can think of.

Automatic discovery: Yes
Data flow visualization: Yes
Environment: Online
Free edition: No
Metadata management: Yes
Version control integration: No

OvalEdge

OvalEdge provides a powerful and automated way to visualize your Data Flow Effortlessly. Its algorithms build the lineage from the most accurate source, source code. It crawls the source code from various connectors. After that, it parses its language like SQL, PL/SQL, XML, etc., and then builds the lineage.

Automatic discovery: Yes
Data flow visualization: Yes
Environment: Online
Free edition: No
Metadata management: Yes
Version control integration: No

OpenMetadata

OpenMetadata is a single place to discover, collaborate and get your data right. It supports a comprehensive lineage for all data assets by capturing the relation between entities. It traces the path of data across tables, pipelines, and dashboards, while the manual lineage helps augment the lineage captured from machine metadata with user knowledge.

Automatic discovery: No
Data flow visualization: Yes
Environment: Online
Free edition: No
Metadata management: Yes
Version control integration: Yes

Datafold

Datafold provides plug and play column-level lineage for the modern data stack. It analyzes every SQL statement in your data warehouse and produces a graph of dependencies. It provides a high-level overview of your pipelines, zoom in on particular tables, trace flow on a columnal level, and see the SQL statements for each step.

Automatic discovery: Yes
Data flow visualization: Yes
Environment: Online
Free edition: No
Metadata management: No
Version control integration: No

Engrafo

Engrafo automatically creates data catalogs, data flow diagrams, and data lineage. It can extract data lineage from all common SQL dialects and generate flow charts to create overview and information about critical ETL flows. Moreover, it extracts metadata from your BI Tools and automatically creates data lineage back to the data catalogs.

Automatic discovery: Yes
Data flow visualization: Yes
Environment: Online
Free edition: Yes
Metadata management: Yes
Version control integration: No

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.

Automatic discovery: Yes
Data flow visualization: Yes
Environment: Online
Free edition: Yes
Metadata management: Yes
Version control integration: Yes

Dremio

Dremio is a SQL Lakehouse Platform that 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. It provides self-service analytics with unified data access, modern and intuitive U/I, semantic layer, and built for SQL.

Automatic discovery: Yes
Data flow visualization: No
Environment: Online
Free edition: No
Metadata management: No
Version control integration: No

Azure Purview

Microsoft Purview provides a unified data governance solution that offers many capabilities, one of which is showing lineage between datasets created by data processes. It supports automated asset-level lineage for the datasets and processes, while manual lineage allows you to document lineage metadata for sources where automation isn't yet supported without using any code.
Metadata collected in Microsoft Purview from enterprise data systems are stitched across to show an end-to-end data lineage.

Automatic discovery: Yes
Data flow visualization: Yes
Environment: Online
Free edition: No
Metadata management: Yes
Version control integration: Yes

DoltHub

DoltHub is a modern, secure, always on database management web GUI to the Dolt ecosystem. Dolt is the SQL database that you can fork, clone, branch, merge, push, and pull, just like a Git repository. It allows you to explore the full history of your data directly from SQL. It is a version-controlled database and a versioned MySQL replica but can be configured just like any other MySQL replica. This allows you to get most of the features of a version-controlled database without migrating from MySQL.

Automatic discovery: No
Data flow visualization: No
Environment: Online
Free edition: No
Metadata management: No
Version control integration: Yes

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.

Automatic discovery: No
Data flow visualization: Yes
Environment: Online
Free edition: No
Metadata management: No
Version control integration: No