What is Qlik Talend?
Qlik Talend Cloud offers AI-enhanced data integration, from no-code to pro-code, empowering businesses to uphold data integrity while accelerating AI adoption across the board.
With AI-augmented data pipelines, Qlik Talend Cloud establishes a new benchmark for data quality and reliability, essential for deriving value from diverse data sources within a scalable and flexible framework.
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Qlik Talend Cloud is built for enterprises that want to leverage AI at scale. By integrating the latest AI advancements, businesses can transform raw data into strategic assets. Qlik Talend accelerates this value by reducing the risks associated with enterprise AI adoption.
Qlik Talend - Data Fabric for Modern Architectures
Real-time data movement
Get the flexibility you need to ensure that you can deliver high-quality data whenever the organisation demands, in a variety of formats. Automatically and continuously ingest data without job scheduling or scripting. Qlik Talend Cloud supports:
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High-performance agentless change data capture (CDC) from a wide range of sources including relational databases, non-relational databases, SAP, mainframe, and SaaS applications
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Integration with leading cloud data platforms such as Snowflake Data Cloud, AWS, Microsoft Fabric, Google BigQuery, and Databricks
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Rapid deployment with point-and-click data pipelines
Data transformation
Quickly turn raw transaction records into consumption ready data via automatically generated, push down SQL. Our no-code interface helps you easily create reusable transformation pipelines that intelligently conform data to dimensional models or custom formats. 
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Basic transformations: Add table-based transformation rules such as column renaming, data filtering and value standardisation​​​​
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Advanced transformations: Automatically generate star schema data marts in your data lakehouse or warehouse​
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Transformation flows: Generate advanced SQL transformations with drag-and-drop blocks​
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AI transformation assistant: Write instructions in natural language and generate transformation SQL​
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Custom transformations: Code your own SQL when custom transformations are required​
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Transform third-party data: Transform data ingested into the data warehouse or lake by third-party tools
Data products
Streamline end-to-end data management with a unique product-centric approach that provides high-quality, curated, readily accessible, domain-centric trusted data. Data and analytics stakeholders can unlock the full value of their data to accelerate business outcomes.
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Organise various data elements—raw data, transformations, data quality rules, contracts, access patterns, and infrastructure—into a single trusted cohesive unit​
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Promote trust among data and analytics stakeholders by enhancing data reliability, compliance, and transparency
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Increase data accountability, and accelerate time-to-market for data-driven solutions by streamlining end-to-end data operations and defining clear ownership between producers and consumers​
Data quality & governance
Build greater confidence in your metrics and KPIs by easily discovering, remediating, and sharing trusted data. Powerful features automate data processes, empower data teams, and ensure data quality and governance.
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Understand data origin, evolution, and meaning by tracking the lineage of each dataset
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Harness the expertise of data stewards and enact data quality rules uniformly with automatic data profiling tools
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Eliminate data silos, enforce consistency, and foster collaboration with a metadata-powered catalog
Superior data architecture
Enjoy scalability, security, and maintenance advantages versus traditional integration and iPaaS solutions:
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Secure point-to-point data transfer – Ensure low data latency and maximum data availability with live views and secure point-to-point replication architecture
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Agentless data gateway – Help ensure no extra overhead or security attack vector is added to your production data systems with our data replication architecture
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Data architecture agnostic – Create pipelines that can be seamlessly integrated into any data architecture including hub, fabric, or mesh