Early Access: The content on this website is provided for informational purposes only in connection with pre-General Availability Qlik Products.
All content is subject to change and is provided without warranty.
Skip to main content Skip to complementary content

Setting up connections to targets

You can connect to targets to facilitate data delivery and various ELT operations, including data registration, data storage, transformations, and data mart creation. Target platforms can be supported as replication targets, data pipeline targets, and in some cases, both.

Information noteWhen you connect to targets you may need to add underlying Qlik Cloud IP addresses to your allowlist. For more information, see Allowlisting domain names and IP addresses.

Target platform use cases and supported versions

The table below summarizes which platforms are supported according to use case and, where applicable, lists the supported versions for each target.

Target platform use cases and supported versions
Target platform Supported as a replication target Supported as a data pipeline target platform Supported as a data warehouse staging area Supports access via a private connection Version
Azure Data Lake Storage

Yes

No

Supported with the following targets:

  • Databricks
  • Azure Synapse Analytics
  • Microsoft Fabric
Yes Not applicable
Amazon Redshift

Yes

Yes No Yes Not applicable
Amazon S3

Yes

No

Supported with the following targets:

  • Databricks
  • Amazon Redshift
Yes Not applicable
Databricks

Yes

Yes No

On Azure: Yes

On Google: Yes

On AWS: Not when moving data. Only when registering data and running ELT tasks.

  • All-purposes (Interactive) cluster:

    • 10.4 LTS
    • 11.3 LTS

    • 12.2 LTS

    • 13.3 LTS

    • 14.3 LTS

  • SQL Warehouse cluster

  • Databricks SQL Serverless

Google BigQuery

Yes

Yes No Yes Not applicable
Google Cloud Storage

Yes

No

Supported with the Databricks target.

Yes  
Microsoft Azure Synapse Analytics No Yes No Yes Not applicable
Microsoft Fabric

Yes

Yes No Yes Not applicable

Microsoft SQL Server

In addition to on-premises support, the following cloud platforms are also supported:

  • Amazon RDS for SQL Server
  • Google Cloud for SQL Server
  • Microsoft Azure SQL (Supports both Microsoft Azure Managed Instance and Microsoft Azure Database)
Yes Yes No Yes

2016, 2017, 2019, 2022

MySQL and MariaDB

In addition to on-premises support, the following cloud platforms are also supported:

  • Amazon Aurora
  • Microsoft Azure Database for MySQL - Flexible Server.
  • Amazon RDS for MariaDB
  • Amazon RDS for MySQL
  • Google Cloud SQL for MySQL.
  • Microsoft Azure Database for MySQL
Yes No No Yes

8.0, 8.1

Information noteWhen MariaDB is the target, the supported versions are 10.4 to 10.11

Oracle

Yes No No Yes

19.x, 21c

Warning noteIf you set the Oracle compatibility parameter, make sure you specify a version supported by Data Movement gateway. For example, if you are working with version 21c, you cannot set an earlier version as the compatibility version.

PostgreSQL

In addition to on-premises support, the following cloud platforms are also supported:

  • Amazon Aurora
  • Azure Database for PostgreSQL - Flexible Server
  • Amazon RDS for PostgreSQL
  • Google Cloud SQL for PostgreSQL
  • Google Cloud AlloyDB for PostgreSQL
  • Microsoft Azure Database for PostgreSQL
Yes No No Yes 12.x, 13.x, 14.x, 15.x, 16.x
Qlik Cloud No Yes No Not applicable Not applicable

Snowflake

Yes

Yes No Yes Not applicable

For more information on the data pipeline use case, see Creating a data pipeline.

For more information on the replication use case, see Creating a data replication task.

For more information on private connections, see Supporting private connections in Qlik Talend Data Integration.

Did this page help you?

If you find any issues with this page or its content – a typo, a missing step, or a technical error – let us know how we can improve!