Connect PostHog to BigQuery

with open-source ELT

Extract and load (ELT) your PostHog 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.
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Start analyzing your PostHog data in minutes

1

Select your source

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

2

Select your destination

Connect to BigQuery or one of 50+ Airbyte data sources 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 PostHog data into BigQuery

Airbyte Open Source

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

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

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The best way to run Airbyte in self-hosted, with services and features that drive reliability, scalability, and compliance.
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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.
Leverage all the alpha and beta connectors for free on Airbyte Cloud with our Free Connector Program.

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 PostHog?

PostHog is an open-source Product Analytics software-as-a-service (Saas) for developers, aimed at helping software teams better understand user behavior. Offering a private cloud option to alleviate GDPR concerns, it provides the features engineers need most: it helps them automate events, understand their product usage and user data collections, tracks which features are being triggered for product events, etc.

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 PostHog?

Posthog's API gives access to a wide range of data related to user behavior and interactions with a website or application. The following are the categories of data that can be accessed through Posthog's API:  

1. Events: This includes data related to user actions such as clicks, page views, and form submissions.  

2. Users: This includes data related to user profiles such as email addresses, names, and user IDs.  

3. Sessions: This includes data related to user sessions such as session IDs, start and end times, and session duration.  

4. Funnels: This includes data related to user journeys through a website or application such as the steps they take to complete a specific task.  

5. Retention: This includes data related to user retention such as the percentage of users who return to a website or application after a certain period of time.  

6. Cohorts: This includes data related to user groups such as users who signed up during a specific time period or users who completed a specific action.  

7. Trends: This includes data related to changes in user behavior over time such as changes in the number of page views or clicks.

How do I transfer data from PostHog 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 PostHog 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 PostHog to BigQuery include:
- Airbyte
- Fivetran
- StitchData
- Matillion
- Talend Data Integration
These tools help in extracting data from PostHog 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.

PostHog to BigQuery in minutes.

ETL your PostHog 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
PostHog
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
PostHog
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 PostHog data that you want to replicate.

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

Annotations
Includes scope, order, deleted, dashboard_item, date_marker, content, and more.
Cohorts
Includes name, groups, is_static, and more.
Events
Events
Feature Flags
Includes name, key, active, rollout_percentage, filters, personal_api_key, and more.
Insights
Includes properties, saved, user, insight, events, properties, interval, breakdown_value, breakdown_type, from_dashboard, session, and more.
Persons
Includes properties, id, distinct_id, email, key_identifier, and more.

About PostHog

PostHog is an open-source Product Analytics software-as-a-service (Saas) for developers, aimed at helping software teams better understand user behavior. Offering a private cloud option to alleviate GDPR concerns, it provides the features engineers need most: it helps them automate events, understand their product usage and user data collections, tracks which features are being triggered for product events, etc.

Start analyzing your PostHog 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

PostHog

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 PostHog and BigQuery data integration

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

PostHog

data in the destination of your choice, in minutes.

Maintenance-free

Heading

connector

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

Extensible as open-sourced

With Airbyte, you can easily adapt the open-source PostHog 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.

Posthog To BigQuery in minutes

ETL your PostHog 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
PostHog
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
PostHog
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 PostHog database needs.

Full control over the data

The 

PostHog

 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 PostHog

PostHog is an open-source Product Analytics software-as-a-service (Saas) for developers, aimed at helping software teams better understand user behavior. Offering a private cloud option to alleviate GDPR concerns, it provides the features engineers need most: it helps them automate events, understand their product usage and user data collections, tracks which features are being triggered for product events, etc.

Start analyzing your PostHog 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 PostHog 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 PostHog and BigQuery data integration.

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

Maintenance-free

Heading

connector

Just authenticate your

PostHog

account and destination, and your new

PostHog

data integration will adapt to schema / API changes.

Extensible as open-sourced

With Airbyte, you can easily adapt the open-source

PostHog

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.