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.
KEY RESOURCE
2023 Gartner® Magic Quadrant™ for Data Integration Tools
See why Qlik® and Talend® are Leaders in the Gartner Magic Quadrant for Data Integration Tools.
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
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
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.
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®
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
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
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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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
