SQL Server
Oracle
MySQL
PostgreSQL
Amazon Redshift
Azure SQL Database
DBT
Google Big Query
IBM DB2
MariaDB
SAP HANA
Snowflake
SQLite
Teradata
Vertica
SQL Lineage Tools for Power BI
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: |
|
|---|---|
| Data flow visualization: |
|
| Environment: | On-premises |
| Free edition: |
|
| Metadata management: |
|
| Version control integration: |
|
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: |
|
|---|---|
| Data flow visualization: |
|
| Environment: | Online |
| Free edition: |
|
| Metadata management: |
|
| Version control integration: |
|
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: |
|
|---|---|
| Data flow visualization: |
|
| Environment: | Online |
| Free edition: |
|
| Metadata management: |
|
| Version control integration: |
|
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: |
|
|---|---|
| Data flow visualization: |
|
| Environment: | Online |
| Free edition: |
|
| Metadata management: |
|
| Version control integration: |
|
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: |
|
|---|---|
| Data flow visualization: |
|
| Environment: | Online |
| Free edition: |
|
| Metadata management: |
|
| Version control integration: |
|
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: |
|
|---|---|
| Data flow visualization: |
|
| Environment: | Online |
| Free edition: |
|
| Metadata management: |
|
| Version control integration: |
|
MANTA
Manta offers a powerful scanner for the Microsoft SQL Server technology. Once configured, Manta can automatically connect to the MS SQL resource for extracting and analyzing the pertinent metadata within the selected databases. This metadata includes but is not limited to tables, views, indexes, SQL procedures, schemas, databases, columns, and triggers. Then, Manta can parse all the SQL programming code and logic stored within. This allows Manta to generate lineage down to the column level while showing all transformation logic associated with individual column elements.
| Automatic discovery: |
|
|---|---|
| Data flow visualization: |
|
| Environment: | On-premises |
| Free edition: |
|
| Metadata management: |
|
| Version control integration: |
|
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: |
|
|---|---|
| Data flow visualization: |
|
| Environment: | Online |
| Free edition: |
|
| Metadata management: |
|
| Version control integration: |
|
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.
| Automatic discovery: |
|
|---|---|
| Data flow visualization: |
|
| Environment: | Online |
| Free edition: |
|
| Metadata management: |
|
| Version control integration: |
|
