Qlik Cloud® Data Integration
Provide real-time data delivery and automate the transformation process, enabling seamless integration with virtually any cloud platform.
Achieve Real-time Data Movement Effortlessly
Replicate data from on-premises or cloud sources into Qlik Cloud and other major cloud data platforms seamlessly. The process involves automatic and continuous data ingestion without requiring job scheduling or scripting. Qlik Cloud offers support for:
– Real-time data movement from various enterprise sources, including relational databases, SAP, mainframes, and SaaS applications.
– Integration with leading cloud data platforms such as Snowflake Data Cloud, Azure Synapse, Google Big Query, and Databricks.
– Point-and-click data pipeline configuration for swift deployment.
Effortless Data Transformation
Efficiently convert raw transaction records into easily consumable data using automatically generated push-down SQL. Our no-code interface simplifies the creation of reusable transformation pipelines that intelligently conform data to dimensional models or custom formats.
- Simple Transformations
Utilize the no-code interface to apply table-based transformation rules, including column renaming, data filtering, and standardization.
Advanced Transformations
Use the data modeling interface to automatically generate star schema data marts within the target data warehouse.
Custom SQL
Incorporate your own SQL into the pipeline for custom transformations when needed.
Third-Party Data Transformation
Transform data ingested from third-party tools or shared within a data warehouse or data lake seamlessly.
Embed Integrations:
Seamlessly integrate with other applications directly within your Qlik Sense® application and trigger context-aware downstream processes.
Streamline SaaS Integrations
Simplify SaaS integrations with drag-and-drop smart blocks to construct powerful workflow logic, all without the need to delve into low-level APIs.
Enhance Analytics DevOps:
Increase productivity in analytics DevOps by easily orchestrating both tenant administration and Qlik Sense app development tasks.
Qlik Application Automation® Simplifies Workflows and Boosts Productivity
Utilize the no-code visual editor to effortlessly design workflows that enhance the efficiency of data and analytics processes. Spend less time on programming back-office tasks and free up more time for data analysis.
Comprehensive Data Catalog and Lineage
Gain complete visibility into and actively monitor the data lifecycle, regardless of its source or the end-user analytics environment. This approach enables you to broaden data and analytics access, instill greater confidence in the resulting metrics and KPIs, and expedite the modernization and migration of analytics to the cloud.
Lineage Tracking
Trace the lineage of each dataset, comprehending its origin, evolution, and significance.
Field-Level Profiling
Generate profile statistics at the field level, and apply personalized tags, properties, and business metadata.
Efficient Data Discovery
Easily search, locate, preview, and select business-ready data, applications, and other Qlik objects to streamline your analytics processes.
- Secure Point-to-Point Data Transfer
Ensure minimal data latency and maximum data availability through Live Views and a secure point-to-point replication architecture.
Agentless Data Gateway
Maintain data system integrity with an agentless data gateway that avoids introducing extra overhead or security vulnerabilities into your production data systems
Data Architecture Flexibility
Develop pipelines that seamlessly integrate into any data architecture, whether it's hub, fabric, or mesh, ensuring adaptability to your specific needs.
Robust Data Architecture for Enhanced Performance
Benefit from scalability, security, and maintenance advantages when compared to traditional integration and iPaaS solutions
DataOps for Analytics
Get real-time, analysis-ready and actionable data into any analytics environment – from Qlik to Tableau to Power BI and more.
Real-time Data Streaming (CDC): Extend your enterprise data into live streams to facilitate modern analytics and microservices with a straightforward, real-time, and universal solution.
Agile Data Warehouse Automation: Rapidly design, construct, deploy, and oversee purpose-built cloud data warehouses without the need for manual coding.
Managed Data Lake Creation: Automate intricate data ingestion and transformation procedures to create continuously updated and analytics-ready data lakes.
