Talend Data Catalog
Active metadata management software
Machine learning data catalog software
Data governance tools
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- Ease of use
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What is Talend Data Catalog
Talend Data Catalog is a metadata management and data catalog product used to inventory data assets, document business and technical metadata, and support governance workflows such as stewardship and impact analysis. It is used by data governance teams, data stewards, and analytics/engineering users to find trusted datasets and understand lineage across systems. The product emphasizes automated metadata harvesting, profiling, and relationship discovery to populate the catalog and support search and classification. It is commonly deployed alongside Talend’s broader data integration and data quality capabilities, but it can also connect to external data platforms via scanners/connectors.
Automated metadata harvesting
The catalog supports automated scanning of connected systems to collect technical metadata and keep it updated. This reduces manual documentation effort compared with spreadsheet-based or purely manual cataloging approaches. It also helps organizations maintain a more current view of assets as schemas and pipelines change. Automation is particularly useful in environments with many databases and BI tools.
Lineage and impact analysis
Talend Data Catalog provides lineage views that help users trace how data moves and transforms across sources, integration jobs, and downstream consumption. This supports change management by identifying potential downstream impacts before modifying tables, jobs, or reports. It also helps governance and audit stakeholders understand data provenance. Lineage is a practical differentiator for teams that need operational visibility, not just a searchable inventory.
Integrated governance metadata model
The product supports business glossary concepts, classifications/tags, and stewardship-oriented metadata to align technical assets with business definitions. This helps standardize terminology and improve consistency in reporting and analytics. It also enables governance teams to assign ownership and document policies at the asset level. These capabilities support common governance operating models without requiring a separate glossary-only tool.
Connector coverage varies
Metadata harvesting quality depends on available scanners/connectors and the depth of metadata each connector can extract. Some modern cloud services and niche platforms may require additional configuration, custom work, or may have limited lineage depth. Organizations should validate coverage for their specific data stack during evaluation. Gaps can increase manual curation effort and reduce catalog completeness.
Governance workflow depth
While it supports stewardship metadata and documentation, organizations with complex governance processes may need additional workflow, policy enforcement, or privacy/compliance features beyond the catalog. Advanced operating models often require richer approval workflows, controls, and auditability integrated across tools. This can lead to reliance on complementary governance systems or custom process implementation. Fit depends on how formalized the governance program is.
Administration and rollout effort
Deploying scanners, setting up metadata domains, and tuning classification/profiling can require meaningful administrative effort. Successful adoption typically needs stakeholder alignment on glossary terms, ownership, and curation responsibilities. Without ongoing stewardship, search results and trust signals can degrade over time. Teams should plan for operational ownership, not just initial implementation.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| Starter | Contact sales (not listed publicly) | Pre-built connectivity to SaaS sources; connectivity to multiple destinations (cloud data warehouses); managed cloud pipelines; ready-to-query schemas; data catalog to view accessible datasets; field-level metadata and profiling; analytics and automation workflows. |
| Standard | Contact sales (not listed publicly) | Everything in Starter, plus real-time synchronization using log-based CDC; broader database/file format connectivity; cloud, client-managed, or hybrid deployment; secure private access between VPCs and on-prem networks; optimized data movement to Qlik Cloud Analytics; Open Lakehouse ingestion and optimization. |
| Premium | Contact sales (not listed publicly) | Everything in Standard, plus automated/flexible ELT/ETL transformations; data warehouse/lake/lakehouse automation (automated data mart creation); end-to-end column-level lineage and impact analysis; Spark batch processing; self-service data preparation; application and API integration. |
| Enterprise | Contact sales (not listed publicly) | Everything in Premium, plus comprehensive governance, quality and AI capabilities for trusted data foundation; capabilities for AI/Generative AI pipelines and LLM extensibility; data products and data marketplace; data stewardship for reviews/validation/remediation; connectivity to SAP and mainframe; Qlik Talend Trust Score™. |
Notes: The vendor (Qlik/Talend) does not publish per-seat or fixed list prices for Talend Data Catalog on the official pricing pages; all plans show "Contact Us" for pricing. Pricing is described as capacity-based (measured by a combination of data volume moved, number of job executions, and execution duration) and customers subscribe to a capacity amount for the chosen edition. Free trial availability (14-day trial) is offered for Qlik Talend Cloud; no permanent free tier is listed on the official product/pricing pages.
Seller details
Qlik Technologies Inc.
King of Prussia, Pennsylvania, United States
1993
Private
https://www.qlik.com/
https://x.com/qlik
https://www.linkedin.com/company/qlik
