How to load data from Plausible to Redshift

Learn how to use Airbyte to synchronize your Plausible data into Redshift within minutes.

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Set up a Plausible connector in Airbyte

Connect to Plausible or one of 400+ pre-built or 10,000+ custom connectors through simple account authentication.

Set up Redshift for your extracted Plausible data

Select Redshift where you want to import data from your Plausible source to. You can also choose other cloud data warehouses, databases, data lakes, vector databases, or any other supported Airbyte destinations.

Configure the Plausible to Redshift in Airbyte

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

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TL;DR

set up Plausible as a source connector (using Auth, or usually an API key)
set up Redshift as a destination connector
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.

This tutorial’s purpose is to show you how.

What is Plausible

Appreciable Analytics is an open-source project dedicated to making web analytics more privacy-friendly. Our goal is to reduce corporate surveillance by providing an alternative web analytics tool that doesn't come from the AdTech world. Trusted by thousands of paying customers. We are completely independent, self-funded, and bootstrapped. The legal entity is incorporated in Estonia, while our team works remotely and flexibly.

What is Redshift

A fully managed data warehouse service in the Amazon Web Services (AWS) cloud, Amazon Redshift is designed for storage and analysis of large-scale datasets. Redshift allows businesses to scale from a few hundred gigabytes to more than a petabyte (a million gigabytes), and utilizes ML techniques to analyze queries, offering businesses new insights from their data. Users can query and combine exabytes of data using standard SQL, and easily save their query results to their S3 data lake.

Integrate Plausible with Redshift in minutes

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Prerequisites

A Plausible account to transfer your customer data automatically from.
A Redshift account.
An active Airbyte Cloud account, or you can also choose to use Airbyte Open Source locally. You can follow the instructions to set up Airbyte on your system using docker-compose.

Airbyte is an open-source data integration platform that consolidates and streamlines the process of extracting and loading data from multiple data sources to data warehouses. It offers pre-built connectors, including Plausible and Redshift, for seamless data migration.

When using Airbyte to move data from Plausible to Redshift, it extracts data from Plausible using the source connector, converts it into a format Redshift can ingest using the provided schema, and then loads it into Redshift via the destination connector. This allows businesses to leverage their Plausible data for advanced analytics and insights within Redshift, simplifying the ETL process and saving significant time and resources.

Step 1: Set up Plausible as a source connector

1. First, navigate to the Plausible source connector page on Airbyte.com.
2. Click on the "Create a new connection" button.
3. Enter a name for your connection and click "Next".
4. Enter your Plausible credentials, including your domain name and API key.
5. Click "Test connection" to ensure that your credentials are correct and that Airbyte can connect to your Plausible account.
6. Once the connection is successful, select the data you want to replicate from Plausible.
7. Choose the destination where you want to send your Plausible data.
8. Configure any additional settings, such as scheduling and data mapping.
9. Click "Create connection" to start replicating your Plausible data to your chosen destination.

It's important to note that you will need to have a Plausible account and API key in order to connect to Airbyte. You can find more detailed instructions on how to obtain your API key in the Plausible documentation. Additionally, Airbyte offers a variety of destinations that you can send your Plausible data to, including databases, data warehouses, and cloud storage services. Be sure to choose the destination that best fits your needs and follow any additional setup instructions provided by Airbyte.

Step 2: Set up Redshift as a destination connector

1. First, log in to your Airbyte account and navigate to the "Destinations" tab on the left-hand side of the screen.
2. Click on the "Add Destination" button and select "Redshift" from the list of available connectors.
3. Enter your Redshift database credentials, including the host, port, database name, username, and password.
4. Choose the schema you want to use for your data in Redshift.
5. Select the tables you want to sync from your source connector to Redshift.
6. Map the fields from your source connector to the corresponding fields in Redshift.
7. Choose the sync mode you want to use, either "append" or "replace."
8. Set up any additional options or filters you want to use for your sync.
9. Test your connection to ensure that your data is syncing correctly.
10. Once you are satisfied with your settings, save your configuration and start your sync.

Step 3: Set up a connection to sync your Plausible data to Redshift

Once you've successfully connected Plausible as a data source and Redshift as a destination in Airbyte, you can set up a data pipeline between them with the following steps:

Create a new connection: On the Airbyte dashboard, navigate to the 'Connections' tab and click the '+ New Connection' button.
Choose your source: Select Plausible from the dropdown list of your configured sources.
Select your destination: Choose Redshift from the dropdown list of your configured destinations.
Configure your sync: Define the frequency of your data syncs based on your business needs. Airbyte allows both manual and automatic scheduling for your data refreshes.
Select the data to sync: Choose the specific Plausible objects you want to import data from towards Redshift. You can sync all data or select specific tables and fields.
Select the sync mode for your streams: Choose between full refreshes or incremental syncs (with deduplication if you want), and this for all streams or at the stream level. Incremental is only available for streams that have a primary cursor.
Test your connection: Click the 'Test Connection' button to make sure that your setup works. If the connection test is successful, save your configuration.
Start the sync: If the test passes, click 'Set Up Connection'. Airbyte will start moving data from Plausible to Redshift according to your settings.

Remember, Airbyte keeps your data in sync at the frequency you determine, ensuring your Redshift data warehouse is always up-to-date with your Plausible data.

Use Cases to transfer your Plausible data to Redshift

Integrating data from Plausible to Redshift provides several benefits. Here are a few use cases:

Advanced Analytics: Redshift’s powerful data processing capabilities enable you to perform complex queries and data analysis on your Plausible data, extracting insights that wouldn't be possible within Plausible alone.
Data Consolidation: If you're using multiple other sources along with Plausible, syncing to Redshift allows you to centralize your data for a holistic view of your operations, and to set up a change data capture process so you never have any discrepancies in your data again.
Historical Data Analysis: Plausible has limits on historical data. Syncing data to Redshift allows for long-term data retention and analysis of historical trends over time.
Data Security and Compliance: Redshift provides robust data security features. Syncing Plausible data to Redshift ensures your data is secured and allows for advanced data governance and compliance management.
Scalability: Redshift can handle large volumes of data without affecting performance, providing an ideal solution for growing businesses with expanding Plausible data.
Data Science and Machine Learning: By having Plausible data in Redshift, you can apply machine learning models to your data for predictive analytics, customer segmentation, and more.
Reporting and Visualization: While Plausible provides reporting tools, data visualization tools like Tableau, PowerBI, Looker (Google Data Studio) can connect to Redshift, providing more advanced business intelligence options. If you have a Plausible table that needs to be converted to a Redshift table, Airbyte can do that automatically.

Wrapping Up

To summarize, this tutorial has shown you how to:

Configure a Plausible account as an Airbyte data source connector.
Configure Redshift as a data destination connector.
Create an Airbyte data pipeline that will automatically be moving data directly from Plausible to Redshift after you set a schedule

With Airbyte, creating data pipelines take minutes, and the data integration possibilities are endless. Airbyte supports the largest catalog of API tools, databases, and files, among other sources. Airbyte's connectors are open-source, so you can add any custom objects to the connector, or even build a new connector from scratch without any local dev environment or any data engineer within 10 minutes with the no-code connector builder.

We look forward to seeing you make use of it! We invite you to join the conversation on our community Slack Channel, or sign up for our newsletter. You should also check out other Airbyte tutorials, and Airbyte’s content hub!

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How to Sync Plausible to Redshift Manually

Step 1:

Step 2:

Step 3:

Step 4:

Step 5:

Step 6:

Step 7:

Step 8:

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 Plausible?

What data can you extract from Plausible?

Plausible's API provides access to a variety of data related to website traffic and user behavior. The following are the categories of data that can be accessed through Plausible's API:

1. Site Metrics: This category includes data related to the overall performance of a website, such as the number of page views, unique visitors, bounce rate, and average session duration.
2. Traffic Sources: This category includes data related to the sources of traffic to a website, such as search engines, social media, direct traffic, and referral traffic.
3. User Behavior: This category includes data related to user behavior on a website, such as the pages visited, time spent on each page, and the actions taken on the website.
4. Geolocation: This category includes data related to the geographic location of website visitors, such as the country, region, and city.
5. Devices: This category includes data related to the devices used by website visitors, such as desktop, mobile, and tablet.
6. Browsers: This category includes data related to the browsers used by website visitors, such as Chrome, Firefox, Safari, and Internet Explorer.

Overall, Plausible's API provides a comprehensive set of data that can be used to analyze website traffic and user behavior, and to make data-driven decisions to improve website performance.

How do I transfer data from Plausible?

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 Plausible to Redshift as a source connector (using Auth, or usually an API key)
2. Choose a destination (more than 50 available destination databases, data warehouses or lakes) to sync data too and set it up as a destination connector
3. Define which data you want to transfer from Plausible to Redshift 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 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.

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Warehouses and Lakes

Product Analytics

How to load data from Plausible to Redshift

Learn how to use Airbyte to synchronize your Plausible data into Redshift within minutes.

Try Airbyte Cloud free

Deploy Airbyte Open Source

Step 1: Setup Plausible

Step 2: Setup Redshift

Step 3: Setup a connection Use Cases Wrapping Up

Example H2

Example H3

Sync data between Plausible and Redshift

Get your data syncing in minutes

Try Airbyte free

TL;DR

set up Plausible as a source connector (using Auth, or usually an API key)
set up Redshift as a destination connector
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.

This tutorial’s purpose is to show you how.

What is Plausible

What is Redshift

Integrate Plausible with Redshift in minutes

Try for free now

Prerequisites

A Plausible account to transfer your customer data automatically from.
A Redshift account.
An active Airbyte Cloud account, or you can also choose to use Airbyte Open Source locally. You can follow the instructions to set up Airbyte on your system using docker-compose.

Step 1: Set up Plausible as a source connector

Step 2: Set up Redshift as a destination connector

Step 3: Set up a connection to sync your Plausible data to Redshift

Once you've successfully connected Plausible as a data source and Redshift as a destination in Airbyte, you can set up a data pipeline between them with the following steps:

Create a new connection: On the Airbyte dashboard, navigate to the 'Connections' tab and click the '+ New Connection' button.
Choose your source: Select Plausible from the dropdown list of your configured sources.
Select your destination: Choose Redshift from the dropdown list of your configured destinations.
Configure your sync: Define the frequency of your data syncs based on your business needs. Airbyte allows both manual and automatic scheduling for your data refreshes.
Select the data to sync: Choose the specific Plausible objects you want to import data from towards Redshift. You can sync all data or select specific tables and fields.
Select the sync mode for your streams: Choose between full refreshes or incremental syncs (with deduplication if you want), and this for all streams or at the stream level. Incremental is only available for streams that have a primary cursor.
Test your connection: Click the 'Test Connection' button to make sure that your setup works. If the connection test is successful, save your configuration.
Start the sync: If the test passes, click 'Set Up Connection'. Airbyte will start moving data from Plausible to Redshift according to your settings.

Remember, Airbyte keeps your data in sync at the frequency you determine, ensuring your Redshift data warehouse is always up-to-date with your Plausible data.

Use Cases to transfer your Plausible data to Redshift

Integrating data from Plausible to Redshift provides several benefits. Here are a few use cases:

Advanced Analytics: Redshift’s powerful data processing capabilities enable you to perform complex queries and data analysis on your Plausible data, extracting insights that wouldn't be possible within Plausible alone.
Data Consolidation: If you're using multiple other sources along with Plausible, syncing to Redshift allows you to centralize your data for a holistic view of your operations, and to set up a change data capture process so you never have any discrepancies in your data again.
Historical Data Analysis: Plausible has limits on historical data. Syncing data to Redshift allows for long-term data retention and analysis of historical trends over time.
Data Security and Compliance: Redshift provides robust data security features. Syncing Plausible data to Redshift ensures your data is secured and allows for advanced data governance and compliance management.
Scalability: Redshift can handle large volumes of data without affecting performance, providing an ideal solution for growing businesses with expanding Plausible data.
Data Science and Machine Learning: By having Plausible data in Redshift, you can apply machine learning models to your data for predictive analytics, customer segmentation, and more.
Reporting and Visualization: While Plausible provides reporting tools, data visualization tools like Tableau, PowerBI, Looker (Google Data Studio) can connect to Redshift, providing more advanced business intelligence options. If you have a Plausible table that needs to be converted to a Redshift table, Airbyte can do that automatically.