Qlik Replicate

Qlik Replicate

Qlik Replicate is a data replication and integration software that moves data in real-time from source databases and applications to target data warehouses and data lakes. It supports various sources and targets including relational, non-relational, and cloud apps.
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Qlik Replicate: Real-Time Data Replication & Integration

Qlik Replicate is a data replication and integration software that moves data in real-time from source databases and applications to target data warehouses and data lakes. It supports various sources and targets including relational, non-relational, and cloud apps.

What is Qlik Replicate?

Qlik Replicate is a data replication and integration tool that enables real-time data movement from a variety of sources to a wide range of targets. It provides high-speed bulk data transfer and continuous data replication, supporting both full load and incremental data updates.

With Qlik Replicate, organizations can consolidate data from diverse sources like relational databases, non-relational databases, mainframes, and SaaS applications into a central data warehouse or data lake. This helps create a single version of truth for analytics and reporting.

Key capabilities and benefits include:

  • Real-time data integration across diverse systems
  • Minimal impact on source systems
  • Pre-built connectivity to many popular databases and applications
  • Graphical mapping interface for transforming data
  • Data validation, masking, and filtering
  • Parallel data integration for high throughput
  • High availability with replication clustering
  • Detailed logging and auditing

Qlik Replicate enables organizations to migrate data warehouses to the cloud, synchronize data across multiple systems, consolidate data onto analytics platforms, and feed data pipelines and AI/ML models. With its high performance and versatility, it provides a scalable data integration backbone for both IT-led and self-service data initiatives.

Qlik Replicate Features

Features

  1. Real-time data replication
  2. Support for many data sources and targets
  3. Data transformation and filtering
  4. Conflict resolution and rollback
  5. Data masking and encryption
  6. Web-based GUI for monitoring and management

Pricing

  • Subscription-Based
  • Pay-As-You-Go

Pros

Fast and reliable data replication

Simple to configure and use

Good performance with large data volumes

Many supported platforms and integrations

Powerful transformation capabilities

Cons

Can be expensive for large deployments

Limited native support for non-relational sources

Steep learning curve for advanced features

Requires dedicated infrastructure and administration


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