Engage Universal Data Replication and Data Ingestion

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Accelerate data replication, ingestion and streaming across a wide variety of heterogeneous databases, data warehouses, and big data platforms. You’ll be able to move your data easily, securely and efficiently with minimal operational impact.


2023 Gartner® Magic Quadrant™ for Data Integration Tools

See why Qlik® and Talend® are Leaders in the Gartner Magic Quadrant for Data Integration Tools.

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Gartner® Magic Quadrant™ for Data Integration Tools grid with Qlik and Talend placed in the Leader quadrant

Make data universally available

Replicate, synchronize, distribute, consolidate, and ingest data across all major databases, data warehouses, and Hadoop, on-premises and in the cloud. For example:

  • A global insurer cut its nightly batch load time from 6–8 hours to fewer than 10 minutes

  • A large credit services organization applied 14 million source changes to the target in 30 seconds

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Accelerate data integration for analytics

Quickly and easily set up data replication with an intuitive GUI and eliminate the need for manual coding.

  • Simplify massive ingestion into Big Data platforms from thousands of sources

  • Automatically generate target schemas based on source metadata

  • Efficiently process big data loads with parallel threading

  • Use change data capture process (CDC) to maintain true real-time analytics with less overhead

Screenshot of a Qlik Replicate interface displaying a data processing dashboard with metrics, progress bars, and a play button icon overlayed in the center. Click to watch video.

Accelerate your data pipeline

Integrate data across all major platforms

Load, ingest, migrate, distribute, consolidate and synchronize data on-premises and across cloud or hybrid environments. These include:

  • RDBMS: Oracle, SQL, DB2, MySQL, Sybase, PostgreSQL

  • Data warehouses: Azure Synapse, Snowflake, Exadata, Teradata, IBM Netezza, Vertica, Pivotal

  • Cloud Platforms: AWS, Azure, Google Cloud

  • Cloud Service Platforms: Databricks, Snowflake, Confluent

  • Streaming platforms: Apache Kafka, Confluent, Azure Event hubs, AWS Kinesis

  • Enterprise Applications: SAP, Salesforce

  • Mainframe: IMS/DB, DB2 z/OS, RMS, VSAM

Please refer to the support matrix for a complete list of connectivity options.

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Without Qlik, we could not have done the project since it would have been too costly for us in terms of development work.

Christian Phan-Trong

Director Architecture, Swiss Life™
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Get a versatile platform for change data capture

Low impact, real-time CDC for many database systems, gives you flexible options to process captured data changes:

  • Transactional: Apply transactions in the order they were committed to the source to ensure strict referential integrity and lowest latency

  • Batch optimized: Group transactions into batches to optimize data ingestion and merging into data warehouses, and many targets on-premises or in the cloud

  • Data warehouse optimized: Load with native performance optimized APIs for Snowflake®, Azure Synapse, and other EDWs that use massively parallel processing (MPP)

  • Message oriented data streaming: Capture and stream data change records into message broker systems like Apache® Kafka®

Flowchart illustrating in-memory and file-optimized data transport with segments for Transactional CDC, Batch CDC, Data Warehouse Ingest-Merge, and Message Encoded CDC.

Generate high performance at scale

Support one of the broadest ranges of sources and targets. You can load, ingest, migrate, distribute, consolidate, and synchronize data on-premises and across cloud or hybrid environments.

  • High throughput and low latency: Move data across the enterprise or hybrid environments at high speed to meet real time business requirements

  • Massive scale: Replicate your data across hundreds of sources and targets

  • Low impact: Log based, zero footprint technology minimizes data source and target performance overhead

  • Centralized monitoring and control: Leverage a single interface to create data endpoints, design and execute replication tasks

  • Monitor thousands of tasks through a single console with user defined alerts and KPIs

Diagram illustrating data flow between on-premise servers, cloud storage, and a central computer, representing the processing of data from both sources.

Enable SAP analytics

Get SAP application data in real time for big data analytics.

  • Flexibility: Move the right SAP application data to any major database, data warehouse or Hadoop, on-premises or in the cloud.

  • Easy data access: Capture and translate complex SAP formats, then export data with an intuitive and automated interface that is purpose built for the SAP environment

  • Real-time integration: Ingest live SAP data for real-time analytics in data lakes or other targets; create live Kafka messages for streaming analytics

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Optimize data movement for cloud native environments

  • Enable full hybrid mobility: Move data across, into, and off all major cloud platforms and cloud service providers

  • Enable high performance: Efficiently compress and transfer data in multiple paths over the wide area network (WAN)

  • Secure data transfer: Leverage advanced, NSA approved (AES-256) encryption.

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Diagram showing data replication process with sources including data lake, warehouse, files, mainframe, and streaming. Data is filtered and transformed in-memory, then transferred to similar destinations.

Get a cloud and analytics vendor agnostic data integration platform

You have maximum choice and deployment flexibility when deciding where to store, transform and analyze your data.

  • Qlik Cloud Data Integration – A Qlik managed Enterprise Integration Platform as a Service (eiPaaS)

  • Qlik Data Integration – A client managed solution that can be installed on-premises or as a virtual machine image in any location you choose

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Learn more about Qlik Replicate today