Qlik Cloud® Data Integration

Provide data in real-time and automate its transformation to any cloud.

Qlik Cloud Data Integration assists in delivering, transforming, and consolidating enterprise data in real-time for all analytics, machine learning, or digital transformation initiatives.

Real-time Data Migration

Effortlessly replicate data from on-premises or cloud sources to Qlik Cloud and various top-tier cloud data platforms. Enable automatic and continuous data ingestion without relying on job scheduling or scripting. Ensure that your data is consistently updated without the need for manual intervention, driving insights and actions during crucial business moments.

Key features:

  • Real-time movement from diverse enterprise sources, including relational databases, SAP, mainframes, and SaaS applications.
  • Support for leading cloud data platforms such as Snowflake Data Cloud, Azure Synapse, Google BigQuery, and Databricks.
  • Point-and-click data pipeline configuration for swift deployment.

Data Transformation

Efficiently convert raw transaction records into readily consumable data through auto-generated, push-down SQL. Utilize our no-code interface to establish reusable transformation pipelines that intelligently adapt data to dimensional models or customized formats.

Key features:

  • Simple Transformations: Employ the no-code interface to apply table-based transformation rules, including column renaming, data filtering, and standardization.

  • Advanced Transformations: Utilize 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 when customized transformations are necessary.

  • Third-Party Data Transformation: Adapt data ingested by third-party tools or shared within a data warehouse or data lake.

Application Automation

Effortlessly design workflows using a no-code visual editor that streamlines and enhances your data and analytics processes. Integrate automated flows seamlessly across leading SaaS applications to trigger alerts and initiate downstream processes in response to changes in your business. This results in reduced time spent on programming back-office tasks for automated actions, allowing more time for focused data analysis.

Key features:

  • Embed Integrations in Qlik Sense: Drive insights into action by directly embedding integrations to other applications within your Qlik Sense application, triggering context-aware downstream processes.

  • Simplify SaaS Integrations: Streamline SaaS integrations without delving into low-level APIs; simply drag and drop smart blocks to construct powerful workflow logic.

  • Enhance Analytics DevOps Productivity: Boost analytics DevOps productivity by effortlessly orchestrating both your tenant administration and Qlik Sense app development tasks.

Catalog and Lineage

As integral components of Qlik Cloud, catalog and lineage capabilities play a crucial role in enabling customers to comprehensively comprehend and actively supervise the data lifecycle, irrespective of its source or the end-user analytics environment. This comprehension empowers organizations to confidently extend data and analytics access, instill greater trust in the resulting metrics and KPIs, and expedite the modernization and migration of analytics to the cloud.

Key features:

  • Track Lineage: Monitor the lineage of each dataset throughout its journey, allowing users to understand its origin, evolution, and significance.

  • Field-level Profile Statistics: Generate statistics at the field level and apply personalized tags, properties, and business metadata for enhanced utilization.

  • Facilitate Data Discovery: Enable data consumers to swiftly and easily search, find, preview, and select business-ready data, apps, and other Qlik objects.

 

Superior Data Architecture

Our cloud integration platform offers several advantages in terms of scalability, security, and maintenance when compared to both traditional integration solutions and modern iPaaS offerings:

  • Secure Point-to-Point Data Transfer: Our secure point-to-point replication architecture guarantees low data latency and maximum data availability through Live Views.

  • Agentless Data Gateway: Our data replication architecture ensures that no additional overhead or security attack vectors are introduced to your production data systems, unlike approaches that rely on agents.

  • Data Architecture Agnostic: Create pipelines that seamlessly integrate into any data architecture, be it hub, fabric, or mesh.