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Modern Architecture

Qlik
Replicate

What is Qlik Replicate?

Qlik Replicate is a simple, powerful, easy-to-implement solution that provides replication between various endpoints.

 

Replicate lets you:

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  • Load data efficiently and quickly to operational data stores/warehouses

  • Create copies of production endpoints

  • Distribute data across endpoints

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Replicate is designed to scale and support large scale enterprise data replication scenarios with a scalable multi-server, multi-task, and multi-threaded architecture.

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Replicate consists of a Web-based console and a replication server to replicate data across both heterogeneous and homogeneous data sources. It provides users with instant visibility into current and historical tasks, status, performance, and resource usage information.

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Replicate can execute replication tasks between a large number of enterprise endpoints including Oracle, Microsoft SQL Server, and IBM DB2. It uses a "Click-2-Replicate" design that simplifies the replication process by automating the steps required to build a replication solution.

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When you set up a task in Replicate, you can select any of the following:

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  • Full Load Replication: Creates files or tables on the target endpoint, automatically defines the metadata that is required on the target, and populates the tables with data from the source

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  • Change Processing, also called Change Data Capture (CDC): Captures changes in the source data or metadata as they occur and applies them to the target endpoint as soon as possible, in near-real time

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  • Store Changes: Captures changes in the source data or metadata as they occur but does not apply them to the target

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Replication is log based, which means that it reads only the changes. This reduces the impact on the source endpoints.

System Architecture

In the initial load process, Qlik Replicate reads a filtered stream of rows (with relevant columns only) and passes them to the transformation process for further filtering and subsequent writing to the target endpoint (in the expected output format).

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The CDC process obtains a stream of filtered events or changes in data or metadata from the transaction log file. It then buffers all changes for a given transaction into a single unit before forwarding them to the target when the transaction is committed. During the initial load process, CDC also buffers all changes that occur within a transaction until all affected tables have been loaded.

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This diagram shows the basic architecture of Qlik Replicate.

Modern Building

If you’d like more information about how we can find the right solution for you, get in touch today.

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