Sync from Confluence to BigQuery

with open data movement

Extract and load (ELT) your Confluence data into BigQuery in minutes with our open-source data integration connector.

Eliminate the time you spend on building and maintaining your data pipelines by integrating your data with Airbyte instead.
300+ connectors
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community members
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2PB+
synced/month
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contributors

Top companies trust Airbyte to centralize their Data

Start syncing data from Confluence to BigQuery in three easy steps

1

Setup a Confluence connector in Airbyte

Connect to Confluence or one of 400 Airbyte data sources through simple account authentication

2

Set up BigQuery as the destination connector

Connect to BigQuery or one of 50+ Airbyte data destinations through simple account authentication

3

Sync your Data

This includes selecting the data you want to extract - streams and columns -, the sync frequency, where in BigQuery you want that data to be loaded.

LOVED by 10,000 (DATA) ENGINEERS

Ship more quickly with the only solution that fits ALL your needs.

As your tools and edge cases grow, you deserve an extensible and open ELT solution that eliminates the time you spend on building and maintaining data pipelines

Leverage the largest catalog of  connectors

Airbyte’s catalog of 300+ pre-built, no-code connectors is the largest in the industry and is doubling every year, thanks to its open-source community, while closed-source catalogs have plateaued.

Cover your custom needs with our extensibility

Build custom connectors in 10 min with our Connector Development Kit (CDK), and get them maintained by us or our community. Add them to Airbyte to enable your whole team to leverage them.
Customize ANY Airbyte connectors to address Your custom needs. Our connector’s code is open-source, so you can edit it as you see fit.

Reliability at every level

Airbyte ensure your team’s time is no longer time spent on maintenance with our reliability SLAs on our GA connectors.
Airbyte will also give you visibility and control of your data freshness at the stream level for all your connections.

It’s never been easier to integrate your Confluence data into BigQuery

Airbyte Open Source

Self-host the leading open-source data movement platform with the largest catalog of ELT connectors.

Airbyte Cloud

The easiest way to address all your ELT needs. Largest catalog of connectors, all customizable.

Airbyte Enterprise

The best way to run Airbyte in self-hosted, with services and features that drive reliability, scalability, and compliance.
Learn more
TRUSTED BY 3,000+ COMPANIES DAILY

Why choose Airbyte as the backbone of your data infrastructure?

Keep your data engineering costs in check

Building and maintaining custom connectors have become 5x easier with Airbyte. Enable your data engineering teams to focus on projects that are more valuable to your business.
Given 44% of data teams are spent on maintaining brittle in-house connectors, this is a new level of internal resources that you get back.

Get Airbyte hosted where you need it to be

Airbyte helps you deploy your pipelines in production with two deployment options for the data plane:
  • Airbyte Cloud: Have it hosted by us, with all the security you need (SOC2, ISO, GDPR, HIPAA Conduit).
  • Airbyte Enterprise: Have it hosted within your own infrastructure, so your data and secrets never leave it.

White-glove enterprise-level support

With an average response rate of 10 minutes or less and a Customer Satisfaction score of 96/100, our team is ready to support your data integration journey all over the world.

Including for your Airbyte Open Source instance with our premium support.
Case study
Consolidating data silos at Fnatic

Fnatic, based out of London, is the world's leading esports organization, with a winning legacy of 16 years and counting in over 28 different titles, generating over 13m USD in prize money. Fnatic has an engaged follower base of 14m across their social media platforms and hundreds of millions of people watch their teams compete in League of Legends, CS:GO, Dota 2, Rainbow Six Siege, and many more titles every year.

FAQs

What is ETL?

ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.

What is Confluence?

Confluence defines your reason for being so you can form actionable business strategies and it can share performance results and customer insights with stakeholders. Confluence presents your business vision and help your team understand your strategic plan. It is your remote-friendly team workspace where knowledge and collaboration meet. Confluence is purpose-built for teams which requires a secure and reliable way to collaborate on mission-critical projects. Confluence sites are entirely protected by privacy controls and data encryption, and meet industry-verified compliance standards.

What is BigQuery?

BigQuery is an enterprise data warehouse that draws on the processing power of Google Cloud Storage to enable fast processing of SQL queries through massive datasets. BigQuery helps businesses select the most appropriate software provider to assemble their data, based on the platforms the business uses. Once a business’ data is acculumated, it is moved into BigQuery. The company controls access to the data, but BigQuery stores and processes it for greater speed and convenience.

What data can you extract from Confluence?

Confluence's API provides access to a wide range of data, including:  
1. Pages: Confluence pages are the primary unit of content in the platform, and the API allows developers to create, read, update, and delete pages.  
2. Spaces: Spaces are containers for pages and other content, and the API provides access to space metadata, permissions, and other settings.  
3. Users and groups: The API allows developers to manage users and groups, including creating, updating, and deleting them.  
4. Comments: Confluence pages can have comments, and the API provides access to comment metadata and content.  
5. Attachments: Pages can have attachments, such as images or documents, and the API allows developers to manage attachments.  
6. Labels: Labels are used to categorize content in Confluence, and the API provides access to label metadata and allows developers to add or remove labels from pages.  
7. Search: The API provides a search endpoint that allows developers to search for pages, spaces, and other content in Confluence.  

Overall, Confluence's API provides access to a wide range of data that developers can use to build custom integrations and applications that extend the functionality of the platform.

How do I transfer data from Confluence to BigQuery?

This can be done by building a data pipeline manually, usually a Python script (you can leverage a tool as Apache Airflow for this). This process can take more than a full week of development. Or it can be done in minutes on Airbyte in three easy steps: 
1. Set up Confluence as a source connector (using Auth, or usually an API key)
2. Set up BigQuery as a destination connector
3. Define which data you want to transfer and how frequently
You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud. 

What are top ETL tools to extract data from

The most prominent ETL tools to transfer data from Confluence to BigQuery include:
- Airbyte
- Fivetran
- StitchData
- Matillion
- Talend Data Integration
These tools help in extracting data from Confluence and various sources (APIs, databases, and more), transforming it efficiently, and loading it into BigQuery and other databases, data warehouses and data lakes, enhancing data management capabilities.

What is ELT?

ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.

Difference between ETL and ELT?

ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.

Confluence to BigQuery in minutes.

ETL your Confluence data into BigQuery, in minutes, for free, with our open-source data integration connectors. In the format you need with post-load transformation.

We don't support the
BigQuery
connector yet. Scroll down to upvote and prioritize it, or check our Connector Development Kit to build it within 2 hours.
We don't support the
Confluence
connector yet. Scroll down to upvote and prioritize it, or check our Connector Development Kit to build it within 2 hours.
We don't support the
Confluence
and
BigQuery
connectors yet. Scroll down to upvote and prioritize them, or check our Connector Development Kit to build it within 2 hours.

Select the Confluence data that you want to replicate.

The Confluence source connector can be used to sync the following tables:

Pages and Blog Posts
Includes Get content, Create content, Archive pages, Publish shared draft, Publish legacy draft, Search content by CQL, Get content by ID, Update content, Delete content, and Get content history.
Space
Includes Get spaces, Create space, Create private space, Get space, Update space, Delete space, Get content for space, and Get content by type for space.
Group
Group
Audit
Includes Get audit records, Create audit record, Export audit records, Get retention period, Set retention period, and Get audit records for time period.

About Confluence

Confluence defines your reason for being so you can form actionable business strategies and it can share performance results and customer insights with stakeholders. Confluence presents your business vision and help your team understand your strategic plan. It is your remote-friendly team workspace where knowledge and collaboration meet. Confluence is purpose-built for teams which requires a secure and reliable way to collaborate on mission-critical projects. Confluence sites are entirely protected by privacy controls and data encryption, and meet industry-verified compliance standards.

Start analyzing your Confluence data in minutes with the right data transformation

airbyte data transformation screenshot

Full control over the data

You select the data you want to replicate, and this for each destination you want to replicate your

Confluence

data to.

Normalized schemas

You can opt for getting the raw data, or to explode all nested API objects in separate tables.

Custom transformation via dbt

You can add any dbt transformation model you want and even sequence them in the order you need, so you get the data in the exact format you need at your cloud data warehouse, lake or data base.

Airbyte is designed to address 100% of your BigQuery needs

calendar icon

Scheduled updates

Automate replications with recurring incremental updates to

BigQuery

.

play
Replicate Salesforce data to Snowflake with incremental

Manual full refresh

Easily re-sync all your data when

BigQuery

has been desynchronized from the data source.

Change Data Capture for databases

Ensure your database are up to date with log-based incremental replication.

play
Check how log replication works for PostgreSQL

About BigQuery

BigQuery is an enterprise data warehouse that draws on the processing power of Google Cloud Storage to enable fast processing of SQL queries through massive datasets. BigQuery helps businesses select the most appropriate software provider to assemble their data, based on the platforms the business uses. Once a business’ data is acculumated, it is moved into BigQuery. The company controls access to the data, but BigQuery stores and processes it for greater speed and convenience.

Why Choose Airbyte for your Confluence and BigQuery data integration

Airbyte is the new open-source ETL platform, and enables you to replicate your

Confluence

data in the destination of your choice, in minutes.

Maintenance-free

Heading

connector

Just authenticate your Confluence account and destination, and your new Confluence data integration will adapt to schema / API changes.

Extensible as open-sourced

With Airbyte, you can easily adapt the open-source Confluence ETL connector to your exact needs. All connectors are open-sourced.

No more security compliance issues​

Use Airbyte’s open-source edition to test your data pipeline without going through 3rd-party services. This will make your security team happy.

Normalized schemas​

Engineers can opt for raw data, analysts for normalized schemas. Airbyte offers several options that you can leverage with dbt.

Orchestration & scheduling​

Airbyte integrates with your existing stack. It can run with Airflow & Kubernetes and more are coming.

Monitoring & alerts on your terms​

Delays happen. We log everything and let you know when issues arise. Use our webhook to get notifications the way you want.

Confluence To BigQuery in minutes

ETL your Confluence data into BigQuery, in minutes, for free, with our open-source data integration connectors. In the format you need with post-load transformation.

We don't support the
Confluence
connector yet. Scroll down to upvote and prioritize it, or check our Connector Development Kit to build it within 2 hours.
We don't support the
BigQuery
connector yet. Scroll down to upvote and prioritize it, or check our Connector Development Kit to build it within 2 hours.
We don't support the
Confluence
and
BigQuery
connectors yet. Scroll down to upvote and prioritize them, or check our Connector Development Kit to build it within 2 hours.

Airbyte is designed to address 100% of your Confluence database needs.

Full control over the data

The 

Confluence

 source does not alter the schema present in your database. Depending on the destination connected to this source, however, the schema may be altered.

calendar icon

Scheduled updates

Automate replications with recurring incremental updates.

Log-based incremental replication

Ensure your database are up to date with log-based incremental replication.

play
Check how log replication works for PostgreSQL

About Confluence

Confluence defines your reason for being so you can form actionable business strategies and it can share performance results and customer insights with stakeholders. Confluence presents your business vision and help your team understand your strategic plan. It is your remote-friendly team workspace where knowledge and collaboration meet. Confluence is purpose-built for teams which requires a secure and reliable way to collaborate on mission-critical projects. Confluence sites are entirely protected by privacy controls and data encryption, and meet industry-verified compliance standards.

Start analyzing your Confluence data in minutes with the right data transformation

airbyte data transformation screenshot

Full control over the data

You select the data you want to replicate, and this for each destination you want to replicate your Confluence data to.

Normalized schemas

You can opt for getting the raw data, or to explode all nested API objects in separate tables.

Custom transformation via dbt

You can add any dbt transformation model you want and even sequence them in the order you need, so you get the data in the exact format you need at your cloud data warehouse, lake or data base.

Airbyte is designed to address 100% of your BigQuery needs

calendar icon

Scheduled updates

Automate replications with recurring incremental updates to BigQuery.

play
Replicate Salesforce data to Snowflake with incremental

Manual full refresh

Easily re-sync all your data when BigQuery has been desynchronized from the data source.

Change Data Capture for databases

Ensure your database are up to date with log-based incremental replication.

play
Check how log replication works for PostgreSQL

About BigQuery

BigQuery is an enterprise data warehouse that draws on the processing power of Google Cloud Storage to enable fast processing of SQL queries through massive datasets. BigQuery helps businesses select the most appropriate software provider to assemble their data, based on the platforms the business uses. Once a business’ data is acculumated, it is moved into BigQuery. The company controls access to the data, but BigQuery stores and processes it for greater speed and convenience.

Why choose Airbyte for your Confluence and BigQuery data integration.

Airbyte is the new open-source ETL platform, and enables you to replicate your Confluence data in the destination of your choice, in minutes.

Maintenance-free

Heading

connector

Just authenticate your

Confluence

account and destination, and your new

Confluence

data integration will adapt to schema / API changes.

Extensible as open-sourced

With Airbyte, you can easily adapt the open-source

Confluence

ETL connector to your exact needs. All connectors are open-sourced.

No more security compliance issues​

Use Airbyte’s open-source edition to test your data pipeline without going through 3rd-party services. This will make your security team happy.

Normalized schemas​

Engineers can opt for raw data, analysts for normalized schemas. Airbyte offers several options that you can leverage with dbt.

Orchestration & scheduling​

Airbyte integrates with your existing stack. It can run with Airflow & Kubernetes and more are coming.

Monitoring & alerts on your terms​

Delays happen. We log everything and let you know when issues arise. Use our webhook to get notifications the way you want.