Confluence Cloud

Atlassian's corporate knowledge management collaboration software (wiki), written in Java.

Amazon Aurora

MySQL/PostgreSQL compatible database service from Amazon. Use MySQL or PostgreSQL connector for it.

Confluence Cloud and Amazon Aurora Integration without coding

Skyvia is a universal cloud data integration platform for connecting Confluence Cloud and Amazon Aurora data in a convenient and easy way.

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Popular Scenarios

Free plan with 5000 loaded records per month is available

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Copy Confluence Cloud Data to Amazon Aurora

If you need to simply copy Confluence Cloud data to Amazon Aurora without mapping configuration, you can use Skyvia replication. It allows you to create a copy of Confluence Cloud data in Amazon Aurora and keep it up-to-date with little to no configuration efforts. You don’t even need to prepare the schema — Skyvia can automatically create tables for your cloud data. All you need is to specify the connections to Confluence Cloud and Amazon Aurora and select data to replicate, and Skyvia does the rest. It will copy the specified Confluence Cloud data to Amazon Aurora and maintain this copy up-to-date automatically with incremental updates.

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Loading Amazon Aurora Data to Confluence Cloud and Vice Versa

Skyvia offers a number of benefits for import Confluence Cloud data to Amazon Aurora or vice versa. With Skyvia import you can perform any DML operations for imported Amazon Aurora data in Confluence Cloud, import data from several Amazon Aurora objects at once, etc. These features are available for both directions.

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How to integrate Confluence Cloud and Amazon Aurora

Integration of Confluence Cloud and Amazon Aurora with Skyvia is as easy as 1-2-3

Step 1

You configure your data integration operation in convenient GUI wizards and editors.

Step 2

Operation is executed in a cloud automatically on schedule or manually at any time.

Step 3

You can view the integration operation results for each execution in the Run History.

Integrating Data of Different Structure

Skyvia offers powerful visual editors which allow precise mapping configuration to quickly configure your data migration or synchronization between Confluence Cloud and Amazon Aurora.

One-to-many or Many-to-one

One-to-many or Many-to-one

Skyvia allows you to map one Confluence Cloud table to several related Amazon Aurora tables.

Preserving Relations

Preserving Relations

When integrating data with different structure Skyvia is able to preserve source data relations in target.

Expressions

Expressions

Skyvia allows using complex mathematical and string operations and conditions for mapping data.

Lookup

Lookup

You can use lookup mapping to map target columns to values, gotten from other target objects depending on source data.

Constant

Constant

When integrating data, you can fill some Confluence Cloud fields that don't have corresponding Amazon Aurora fields (or vice versa) with constant values.

Integrate Confluence Cloud and Amazon Aurora with minimal effort and in only a few clicks!

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