Deliver trusted data throughout your organization with AI-augmented no-code pipelines to drive AI innovation, intelligent decisions, and business modernization.
Real-time data movement
Get the flexibility you need to ensure that you can deliver high-quality data whenever the organization demands, in a variety of formats. Automatically and continuously ingest data without job scheduling or scripting. Qlik Talend Cloud supports:
High-performance agentless change data capture (CDC) from a wide range of sources including relational databases, non-relational databases, SAP, mainframe, and SaaS applications
Integration with leading cloud data platforms such as Snowflake Data Cloud, AWS, Microsoft Fabric, Google Big Query, and Databricks
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.
Basic transformations: Add table-based transformation rules such as column renaming, data filtering and value standardization
Advanced transformations: Automatically generate star schema data marts in your data lakehouse or warehouse
Transformation flows: Generate advanced SQL transformations with drag-and-drop blocks
AI transformation assistant: Write instructions in natural language and generate transformation SQL
Custom transformations: Code your own SQL when custom transformations are required
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.
Organize various data elements—raw data, transformations, data quality rules, contracts, access patterns, and infrastructure—into a single trusted cohesive unit
Promote trust among data and analytics stakeholders by enhancing data reliability, compliance, and transparency
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 and 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.
Understand data origin, evolution, and meaning by tracking the lineage of each dataset
Harness the expertise of data stewards and enact data quality rules uniformly with automatic data profiling tools
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:
Secure point-to-point data transfer – Ensure low data latency and maximum data availability with live views and secure point-to-point replication architecture
Agentless data gateway – Help ensure no extra overhead or security attack vector is added to your production data systems with our data replication architecture
Data architecture agnostic – Create pipelines that can be seamlessly integrated into any data architecture including hub, fabric, or mesh
Learn more about our data integration capabilities for these leading platforms
Deploy on Microsoft Azure and integrate with Microsoft applications.
Seamlessly work with Amazon Web Services (AWS).
Leverage a complete range of Google infrastructure and data solutions.
Ingest data from multiple sources and deliver more business insights.
Deliver a wider variety of real-time data for AI, ML, and data science.
Continuously stream data from multiple sources to Confluent and Apache Kafka.