Qlik Talend Cloud
Active metadata management software
Big data integration platforms
ETL tools
Data preparation software
Data quality tools
Data extraction tools
Data governance tools
Data integration tools
Cloud data integration software
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- Ease of management
- Quality of support
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- Market presence
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What is Qlik Talend Cloud
Qlik Talend Cloud is a cloud-based data integration platform that supports building and operating pipelines for data ingestion, transformation, and delivery across cloud and on-premises sources. It is used by data engineers and integration teams for ETL/ELT, replication/CDC, data quality, and API-driven integrations to analytics and operational systems. The platform combines Talend’s integration and data quality capabilities with Qlik’s broader data management portfolio, and it is delivered as a managed cloud service with design-time tooling and runtime execution options.
Broad integration and connectivity
The platform provides a wide set of connectors and patterns for integrating databases, cloud applications, files, and streaming endpoints. It supports common integration styles such as batch ETL/ELT, API-based integration, and event/CDC-driven movement depending on the service used. This breadth helps teams standardize on one toolset for multiple integration scenarios rather than maintaining separate products.
Built-in data quality tooling
Talend Cloud includes capabilities for profiling, cleansing, standardization, and validation that can be embedded into pipelines. These functions support operational data quality checks as part of ingestion and transformation workflows. For organizations that need both integration and quality controls, this reduces reliance on separate data-quality-only tooling.
Cloud-managed execution options
As a cloud service, it provides managed orchestration and monitoring for jobs and pipelines, with options to run workloads in cloud environments and, where required, closer to data sources. This can simplify operations compared with fully self-managed integration stacks. Centralized monitoring and administration support day-to-day pipeline operations and incident response.
Complexity across capabilities
Because the product spans ingestion, transformation, quality, and governance-adjacent features, configuration and day-to-day administration can become complex. Teams often need clear internal standards for job design, naming, environments, and promotion processes to avoid sprawl. This can increase the time required to onboard new developers and operators.
Metadata and governance depth varies
While it supports metadata capture and governance-related workflows, organizations with advanced enterprise cataloging, stewardship workflows, and policy automation may still require a dedicated governance platform. Some governance use cases (e.g., deep business glossary workflows, broad cross-tool lineage, or privacy policy enforcement) can depend on integrations and additional products. Buyers should validate which governance functions are native versus delivered through the wider Qlik portfolio or third-party tools.
Cost and licensing considerations
Pricing can be sensitive to factors such as environments, runtime execution, connectors, and data movement volumes, which can make forecasting harder for rapidly scaling programs. Organizations may need to model costs across development, test, and production usage to avoid surprises. Contract structure and packaging can also influence whether the platform is economical for smaller teams versus enterprise-wide standardization.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| Starter | Contact Us (capacity-based) | Pre-built connectivity to a wide range of SaaS sources and destinations; managed, secure cloud pipelines; ready-to-query schemas; data catalog; field-level metadata management and profiling; analytics & automation workflows. |
| Standard | Contact Us (capacity-based) | Everything in Starter, plus log-based CDC for real-time sync; expanded database and file-format connectivity; cloud, client-managed, or hybrid deployment; secure private access between VPCs/on-prem networks; unlimited/optimized movement to Qlik Cloud Analytics; Qlik Open Lakehouse ingestion and adaptive optimization. |
| Premium | Contact Us (capacity-based) | Everything in Standard, plus automated/flexible ELT or ETL transformations; data warehouse/lake/lakehouse automation (data mart creation); end-to-end column-level lineage and impact analysis; Spark batch processing; self-service data preparation; application & API integration. |
| Enterprise | Contact Us (capacity-based) | Everything in Premium, plus real-time SAP and mainframe sources; extended data quality and governance (data stewardship, data marketplace, semantics-based profiling); Qlik Talend Trust Score™; LLM extensibility and data-product capabilities; comprehensive connectivity to SAP/mainframe. |
Notes: Pricing/Capacity model — customers subscribe to capacity measured by a combination of data volume moved, number of job executions, and job execution duration. All plans on the official site are listed as "Contact Us" for pricing; no fixed numeric prices are published on the vendor site.
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
