Can I transform my data with Qlik Talend Cloud?

Data transformation capabilities (both ELT and ETL) are only available in the Premium tier and above. The Starter and Standard tiers are primarily for data movement and synchronization.

Is Qlik Talend Cloud only a cloud product?

No, Qlik Talend is also available as a client-managed solution for on-premise or hybrid deployments, offering similar core integration capabilities.

How does Qlik Talend Cloud support AI workloads?

Premium and Enterprise tiers include features to create dedicated data pipelines for AI/GenAI, integrate with LLMs for data enrichment, and ensure data readiness via the Qlik Talend Trust Score®.

What specific SAP sources does the Enterprise plan connect to?

The Enterprise plan provides comprehensive, certified connectivity to SAP applications (like S/4HANA, ECC) and legacy mainframe sources, which are not available in lower tiers.

What is the pricing model based on?

Lower tiers (Starter, Standard) are priced on data volume. Higher tiers (Premium, Enterprise) use a blended model of data volume, job executions, and job duration.

Directory/Automation/Data Integration/Qlik Talend Cloud

Qlik Talend Cloud

Qlik Talend Cloud is an enterprise data integration and quality platform designed to make data work for AI and analytics. It provides real-time data movement, transformation, and governance capabilities through a cloud-native or client-managed solution. The platform features pre-built connectors for hundreds of sources, change data capture (CDC), data pipeline automation, and AI-augmented no-code workflows. Key capabilities include unified data integration, data quality management with automated profiling, and a data marketplace for discoverable data products. It integrates with the Qlik Cloud Analytics engine and supports agentic AI use cases by preparing trusted datasets. Target users are data engineers, architects, and IT teams in large organizations needing to modernize data infrastructure for AI and real-time decision-making.

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Added on

Sep 22, 2026

Data IntegrationReal-time CDCELT/ETLData QualityAI PipelinesApache IcebergHybrid CloudSAP/Mainframe

Product information

Everything worth knowing about Qlik Talend Cloud

The complete picture — from everyday features to the technical detail builders and IT folks dig for.

Core features

What it actually does

Pre-built Data Connectivity

Connects to a wide range of SaaS sources, databases, file formats, and destinations including leading cloud data warehouses with managed, secure pipelines.

Real-time Data Movement & CDC

Operationalizes real-time data synchronization at scale using log-based change data capture (CDC) for high-volume data transfers.

Automated Data Transformation

Supports automated and flexible transformations using ELT or ETL to automate data warehouse, lake, and lakehouse processes, including data mart creation.

AI & Data Quality Governance

Provides comprehensive data quality, governance, and AI capabilities, including data stewardship, semantic type recognition, and a trust score for AI readiness.

Technical capabilities

Column-level Lineage & Impact Analysis

Offers end-to-end column-level lineage and impact analysis for comprehensive data governance and understanding data flow.

Apache Iceberg Ingestion & Optimization

Enables high-performance data ingest directly into Apache Iceberg tables with automatic adaptive optimizations for open lakehouse architectures.

Integrated LLM Extensibility

Allows enrichment of data and pipelines with integrated LLM extensibility for creating AI and Generative AI use cases.

Must watch videos

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Tutorial1:28

Qlik: Making Data Work for AI

AI is moving fast, but outcomes still depend on one thing: trusted data, in the right place, at the right time, with the right controls. In this short Qlik story video, you’ll see how we help teams accelerate AI with confidence, turning data into answers you can explain, and actions you can stand behind. From strengthening supply chain decisions, to building a campaign plan in seconds, to spotting changes as they happen, Qlik connects analytics, automation, and governed AI experiences, so AI becomes operational, not experimental. What you’ll see: - AI answers with traceability (including “View Source”) - Insights and signals that show up where work happens - Trust and governance built into the flow, not bolted on

2:39

Tutorial2:39

Qlik MCP - Quick Demo

A quick demo of simple scenatio using Qlik MCP Server and Anthropic Claude as the LLM AI client. Where you should go next: LLM AI Client Setup: https://youtu.be/53lGB9YcNI8 Qlik MCP Server - Qlik Cloud Tenant Setup: https://youtu.be/UCitAvMVin8

Qlik MCP Server - Trusted Data, Intelligent AI

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Tutorial0:43

Qlik MCP Server - Trusted Data, Intelligent AI

Qlik’s MCP server provides a full set of tools that allow external LLMs to tap into Qlik’s unique capabilities for data and analytics—so AI can take advantage of our data products foundation and analytics engine to deliver powerful insight and automate tasks and workflows. Get more info: https://pages.qlik.com/MCPInterestEAP.html

Who uses it

Real use cases, no hype

Real-Time Data Warehousing

Continuously feed cloud data warehouses (Snowflake, BigQuery) with fresh, low-latency data via log-based CDC.

AI & GenAI Data Preparation

Build and govern trusted, high-quality data pipelines specifically for machine learning models and generative AI use cases.

Data Lakehouse Modernization

Automate ingestion and adaptive optimization directly into open table formats like Apache Iceberg for a modern analytics architecture.

SAP Data Unification

Extract, transform, and load critical business data from complex SAP applications and mainframe systems for enterprise-wide analytics.

Automated Data Quality Governance

Implement data stewardship, profiling, and semantic type recognition to ensure data readiness and trustworthiness.

Embedded Analytics Data Feeds

Deliver clean, prepared data to power embedded analytics and reporting applications for customers or partners.

Operational Data Streaming

Enable real-time data movement between on-premise networks and cloud VPCs for operational intelligence and decision-making.

What's great

Leader in Gartner's Data Integration & Quality Magic Quadrants
Used by 75% of the Fortune 500
Comprehensive SaaS and on-prem data connectivity

Technical strengths

Native, real-time log-based Change Data Capture (CDC)
Direct, optimized ingestion into Apache Iceberg tables
Integrated LLM extensibility for AI/GenAI pipeline enrichment
End-to-end column-level lineage and impact analysis

Where it falls short

Pricing is opaque; requires contacting sales
Complex tiered feature gating (e.g., transforms need Premium)
Client-managed deployment option exists but cloud-first focus

Technical limitations

SAP and Mainframe connectivity locked to Enterprise tier
Pricing metrics combine volume, executions, and duration in higher tiers

For technical folks

The deep-dive specs

FAQ

Includes technical Q&A

The Standard tier adds real-time, log-based Change Data Capture (CDC), secure VPC networking, and optimized ingestion into Apache Iceberg. Starter is for basic, scheduled SaaS-to-warehouse movement.