Qlik Talend® Cloud
Provide Reliable, AI-Optimized Data
Qlik Talend Cloud enables the fast and reliable delivery of trusted data, helping your organization make smarter decisions, boost productivity, and drive successful data initiatives.
Platform Independence
Operate seamlessly across various environments, whether on-premises or in the cloud, ensuring flexibility and adaptability to your existing infrastructure.
Enhanced Data Quality and Governance
Maintain high standards of data integrity with robust quality controls and governance frameworks, ensuring your data remains accurate and reliable.
Agile and Automated Processes
Streamline your data workflows with automation, reducing manual efforts and accelerating time-to-insight.
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Real-Time Data Movement
Gain the flexibility to deliver high-quality data on demand, in multiple formats, whenever your organization needs it. With Qlik Talend Cloud, you can automatically and continuously ingest data—no need for job scheduling or scripting.
Agentless: Enable high-performance, agentless Change Data Capture (CDC) across a broad spectrum of sources, such as relational and non-relational databases, SAP systems, mainframes, and SaaS applications.
Built-in Integrations: Connect effortlessly to leading cloud data platforms including Snowflake Data Cloud, AWS, Microsoft Fabric, Google BigQuery, and Databricks, enabling fast and easy deployment with point-and-click data pipelines.
Data Transformation
Swiftly transform raw transaction data into consumption-ready insights with auto-generated push-down SQL. Our no-code interface makes it easy to build reusable transformation pipelines that adapt data to dimensional models or custom formats with intelligence and efficiency.
Basic Transformations: Easily implement table-based rules such as renaming columns, filtering data, and standardizing values.
Advanced Transformations: Seamlessly generate star schema data marts within your data warehouse or lakehouse.
Transformation Flows: Build sophisticated SQL transformations using a visual drag-and-drop interface.
Custom Transformations: Write custom SQL code to handle unique or complex transformation requirements.
AI-Assistant: Provide natural language instructions and generate the corresponding transformation SQL.
Third Party Data: Apply transformations to data brought into the data warehouse or data lake by third-party tools.
Data Products and Marketplace
Simplify end-to-end data management with a distinctive product-centric approach that delivers high-quality, curated, and easily accessible domain-specific trusted data. This empowers data and analytics teams to fully harness their data’s potential and drive faster business outcomes.
Organize: Bring together all key data components—raw data, transformations, data quality rules, contracts, access patterns, and infrastructure—into one unified, trusted, and cohesive framework.
Build Trust: Build trust across data and analytics teams by improving data reliability, ensuring compliance, and increasing transparency.
Increase Accountability: Boost data accountability and shorten time-to-market for data-driven solutions by simplifying end-to-end data operations and clearly defining responsibilities between data producers and consumers.
Data Quality and Governance
Increase trust in your metrics and KPIs by seamlessly discovering, correcting, and sharing reliable data. Advanced automation tools streamline data processes, support data teams, and enforce high standards of quality and governance.
Gain full visibility into the origin, transformation, and meaning of data through detailed lineage tracking.
Utilize the expertise of data stewards and apply consistent data quality rules with automated profiling capabilities.
Break down data silos, standardize data usage, and promote collaboration with a catalog powered by rich metadata.
Superior Data Architecture
Benefit from enhanced scalability, security, and ease of maintenance compared to traditional integration and iPaaS solutions:
Secure Point-to-Point Data Transfer – Achieve low data latency and maximum availability with live views and a secure, point-to-point replication architecture.
Agentless Data Gateway – Ensure minimal overhead and no added security risks to your production data systems with our agentless data replication architecture.
Data Architecture Agnostic – Design pipelines that easily integrate with a range of data architectures, including hub, fabric, or mesh.
Flexible Offering
A versatile platform that meets a broad spectrum of data integration needs, from efficient ELT/ETL operations to advanced data lakehouse ingestion and quality pipelines, all within a single cohesive environment.
Heterogeneous Connectivity
Enables robust connectivity for effortless data integration from a variety of sources. It offers a wide range of connectors for databases (both relational and NoSQL), cloud services (AWS, Azure, GCP), file storage systems, messaging platforms (Kafka), SaaS tools (Salesforce, Marketo), and more.