# Cloudera Data Lineage --- Metadata management and automated data lineage for enterprise data estates. The Forrester Wave™: Data Fabric Platforms, Q4 2025. [Access the report](https://www.cloudera.com/campaign/the-forrester-wave-data-fabric-platforms-q4-2025.html?internal_keyplay=MDA&internal_campaign=Forrester-Reports---AlwaysOn-FY26-GLOBAL-CT-Report-Forrester-Wave-Enterprise-Data-Fabric&cid=701Ui00000fIFPBIA4&internal_link=p03---Data-Lineage-Page) ## Build trust and take control of your entire data estate Cloudera Data Lineage (formerly Octopai) is the only SaaS-based solution built to navigate the most complex cloud, on-premises, and hybrid data environments instantly and automatically. --- Harvest every data source, ETL process, script, and BI report automatically (without manual tagging), delivering a complete, up-to-date lineage graph. --- Empower technical data teams and business users to trace any issue back to its origin or assess the impact of an upcoming change in seconds. --- Give IT and business users interactive lineage diagrams, audit trails, and data-quality metrics, providing evidence for governance and regulatory audits. ## Key features - [Automated metadata harvesting](https://www.cloudera.com/products/unified-data-fabric/data-lineage.html#) - [Automated data lineage mapping](https://www.cloudera.com/products/unified-data-fabric/data-lineage.html#) - [Data discoverability](https://www.cloudera.com/products/unified-data-fabric/data-lineage.html#) - [Deep, multi-layered lineage](https://www.cloudera.com/products/unified-data-fabric/data-lineage.html#) - [Hybrid compatibility & multi-dimensional lineage](https://www.cloudera.com/products/unified-data-fabric/data-lineage.html#) - [Inferred lineage & augmented links](https://www.cloudera.com/products/unified-data-fabric/data-lineage.html#) Automated metadata harvestingAutomated data lineage mappingData discoverability Deep, multi-layered lineageHybrid compatibility & multi-dimensional lineage Inferred lineage & augmented links #### Rapidly collect metadata, scripts, code, and dependencies with zero manual effort—improving efficiency and reducing risk across your entire data stack. #### Map data flows across systems by analyzing transformations, dependencies, and relationships—all done automatically. #### Empower users with intuitive search, enriched metadata, and contextual insights to find and trust data faster. #### Create complex semantic layers by bringing together data types from different sources within your visualizations, add business logic and filters, or incorporate data from other visual applications. #### Support for on-premises, cloud, and hybrid systems—complete with cross-system, intra-system, and granular lineage. #### Fill gaps with inferred relationships and enhance lineage with contextual metadata for unmatched visibility. ## Gain unprecedented visibility into all your data flows With more than 60 native integrations and support for non-native systems through our universal connector, Cloudera Data Lineage offers the broadest coverage of any automated data lineage solution. [See all integrations](https://www.cloudera.com/products/unified-data-fabric/data-lineage/integrations.html) ## See how data teams are winning with Cloudera Data Lineage > As we refine our internal policies, Octopai has emerged as a vital tool for our analysts' data documentation. It's now a non-negotiable milestone for process approval. With Octopai, our team are setting a new standard for data management excellence. > > —Swaranjali Wadkar, Data Governance Analyst, Group Reinsurance & Group Actuarial, Ecclesiastical ### Healthe Systems [Success story](https://www.cloudera.com/customers/healthesystems.html) ### Daktronics [Success story](https://www.cloudera.com/customers/daktronics.html) ### Goeasy [Success Story](https://www.cloudera.com/customers/goeasy.html) ## Save time and build trust across data teams 50% spend more than 5 hours a week on data flows tracing. 75% wait as long as a few weeks to find the source of error in a report. 90% of manual work was saved when conducting impact analysis. Source: Dataversity and Octopai Survey, 2023 ## For Technical Users --- Automatically capture and visualize dependencies across databases, ETL jobs, and BI outputs, providing an end-to-end view of data movement that lets engineers: - Trace failures or bottlenecks in seconds. - Eliminate redundant processes and data copies. - Enforce consistent quality rules across pipelines. - Accelerate delivery of new data products. - Preserve full audit trails for compliance. ## For Business Users --- Empower faster, more informed decision making across the company with lineage-based dashboards that let non-technical stakeholders: - Trust the numbers by providing visibility. - Reduce “black box” concerns. - Trace key metrics to their foundational data sources. - Investigate upstream factors that contribute to changing KPIs.