How to load data from Airtable to Starburst Galaxy

Learn how to use Airbyte to synchronize your Airtable data into Starburst Galaxy within minutes.

Try Airbyte Cloud

Get a demo

Building your pipeline or Using Airbyte

Airbyte is the only open solution empowering data teams to meet all their growing custom business demands in the new AI era.

Building in-house pipelines

Bespoke pipelines are:

Inconsistent and inaccurate data
Laborious and expensive
Brittle and inflexible

Furthermore, you will need to build and maintain Y x Z pipelines with Y sources and Z destinations to cover all your needs.

After Airbyte

Airbyte connections are:

Reliable and accurate
Extensible and scalable for all your needs
Deployed and governed your way

All your pipelines in minutes, however custom they are, thanks to Airbyte’s connector marketplace and Connector Builder.

Start syncing with Airbyte in 3 easy steps within 10 minutes

Set up a Airtable connector in Airbyte

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

Set up Starburst Galaxy for your extracted Airtable data

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

Configure the Airtable to Starburst Galaxy 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.

Try Airbyte Cloud

Take a virtual tour

Check out our interactive demo and our how-to videos to learn how you can sync data from any source to any destination.

Demo video of Airbyte Cloud

Demo video of AI Connector Builder

Talk to our team

Old Automated Content

TL;DR

set up Airtable as a source connector (using Auth, or usually an API key)
set up Starburst Galaxy 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 Airtable

Airtable is a cloud collaboration service.

What is Starburst Galaxy

Starburst Data is a data access and analytics company that offers a cloud-native, SQL-based query engine called Presto. Their mission is to enable organizations to access and analyze data across various sources efficiently and at scale. Starburst Data provides an enterprise-grade platform that leverages the power of Presto to query data residing in different databases, data lakes, and cloud storage systems, eliminating data silos and accelerating insights. With a focus on performance, security, and ease of use, Starburst Data empowers businesses to unlock the value of their data, enabling faster decision-making and advanced analytics capabilities.

Integrate Airtable with Starburst Galaxy in minutes

Try for free now

Prerequisites

A Airtable account to transfer your customer data automatically from.
A Starburst Galaxy 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 Airtable and Starburst Galaxy, for seamless data migration.

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

Step 1: Set up Airtable as a source connector

1. Open the Airbyte dashboard and click on "Sources" on the left-hand side of the screen.
2. Click on the "New Source" button in the top right corner of the screen.
3. Select "Airtable" from the list of available sources.
4. Enter a name for your Airtable source connector.
5. Enter your Airtable API key in the "API Key" field. You can find your API key by logging into your Airtable account and navigating to the "Account" section of your profile.
6. Enter the base ID of the Airtable base you want to connect to in the "Base ID" field. You can find the base ID by navigating to the "Help" menu in your Airtable base and selecting "API documentation."
7. Click the "Test" button to ensure that your credentials are correct and that Airbyte can connect to your Airtable base.
8. If the test is successful, click the "Create" button to save your Airtable source connector.
9. You can now use your Airtable source connector to create a new Airbyte pipeline and start syncing data from your Airtable base to your destination of choice.

Step 2: Set up Starburst Galaxy as a destination connector

1. First, navigate to the connectors page on Airbyte and select the Starburst Galaxy destination connector.
2. Next, enter the required credentials for your Starburst Galaxy account, including the host, port, database name, username, and password.
3. Once you have entered your credentials, click on the "Test Connection" button to ensure that the connection is successful.
4. If the connection is successful, you can then configure the settings for your destination connector, including the table name, schema, and any additional options.
5. After configuring your settings, you can then run a sync to transfer data from your source connector to your Starburst Galaxy destination.
6. You can monitor the progress of your sync and view any errors or warnings that may occur during the transfer process.
7. Once the sync is complete, you can then view your data in your Starburst Galaxy database and use it for analysis or other purposes.

Step 3: Set up a connection to sync your Airtable data to Starburst Galaxy

Once you've successfully connected Airtable as a data source and Starburst Galaxy 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 Airtable from the dropdown list of your configured sources.
Select your destination: Choose Starburst Galaxy 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 Airtable objects you want to import data from towards Starburst Galaxy. 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 Airtable to Starburst Galaxy according to your settings.

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

Use Cases to transfer your Airtable data to Starburst Galaxy

Integrating data from Airtable to Starburst Galaxy provides several benefits. Here are a few use cases:

Advanced Analytics: Starburst Galaxy’s powerful data processing capabilities enable you to perform complex queries and data analysis on your Airtable data, extracting insights that wouldn't be possible within Airtable alone.
Data Consolidation: If you're using multiple other sources along with Airtable, syncing to Starburst Galaxy 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: Airtable has limits on historical data. Syncing data to Starburst Galaxy allows for long-term data retention and analysis of historical trends over time.
Data Security and Compliance: Starburst Galaxy provides robust data security features. Syncing Airtable data to Starburst Galaxy ensures your data is secured and allows for advanced data governance and compliance management.
Scalability: Starburst Galaxy can handle large volumes of data without affecting performance, providing an ideal solution for growing businesses with expanding Airtable data.
Data Science and Machine Learning: By having Airtable data in Starburst Galaxy, you can apply machine learning models to your data for predictive analytics, customer segmentation, and more.
Reporting and Visualization: While Airtable provides reporting tools, data visualization tools like Tableau, PowerBI, Looker (Google Data Studio) can connect to Starburst Galaxy, providing more advanced business intelligence options. If you have a Airtable table that needs to be converted to a Starburst Galaxy table, Airbyte can do that automatically.

Wrapping Up

To summarize, this tutorial has shown you how to:

Configure a Airtable account as an Airbyte data source connector.
Configure Starburst Galaxy as a data destination connector.
Create an Airbyte data pipeline that will automatically be moving data directly from Airtable to Starburst Galaxy 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!

What should you do next?

Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:

Easily address your data movement needs with Airbyte Cloud

Take the first step towards extensible data movement infrastructure that will give a ton of time back to your data team.

Get started with Airbyte for free

Talk to a data infrastructure expert

Get a free consultation with an Airbyte expert to significantly improve your data movement infrastructure.

Talk to sales

Improve your data infrastructure knowledge

Subscribe to our monthly newsletter and get the community’s new enlightening content along with Airbyte’s progress in their mission to solve data integration once and for all.

Subscribe to newsletter

What sets Airbyte Apart

Modern GenAI Workflows

Streamline AI workflows with Airbyte: load unstructured data into vector stores like Pinecone, Weaviate, and Milvus. Supports RAG transformations with LangChain chunking and embeddings from OpenAI, Cohere, etc., all in one operation.

Move Large Volumes, Fast

Quickly get up and running with a 5-minute setup that supports both incremental and full refreshes, for databases of any size.

An Extensible Open-Source Standard

More than 1,000 developers contribute to Airbyte’s connectors, different interfaces (UI, API, Terraform Provider, Python Library), and integrations with the rest of the stack. Airbyte’s Connector Builder lets you edit or add new connectors in minutes.

Full Control & Security

Airbyte secures your data with cloud-hosted, self-hosted or hybrid deployment options. Single Sign-On (SSO) and Role-Based Access Control (RBAC) ensure only authorized users have access with the right permissions. Airbyte acts as a HIPAA conduit and supports compliance with CCPA, GDPR, and SOC2.

Fully Featured & Integrated

Airbyte automates schema evolution for seamless data flow, and utilizes efficient Change Data Capture (CDC) for real-time updates. Select only the columns you need, and leverage our dbt integration for powerful data transformations.

Enterprise Support with SLAs

Airbyte Self-Managed Enterprise comes with dedicated support and guaranteed service level agreements (SLAs), ensuring that your data movement infrastructure remains reliable and performant, and expert assistance is available when needed.

What our users say

Jean-Mathieu Saponaro

Data & Analytics Senior Eng Manager

"The intake layer of Datadog’s self-serve analytics platform is largely built on Airbyte.Airbyte’s ease of use and extensibility allowed any team in the company to push their data into the platform - without assistance from the data team!"

Learn more

Chase Zieman

Chief Data Officer

“Airbyte helped us accelerate our progress by years, compared to our competitors. We don’t need to worry about connectors and focus on creating value for our users instead of building infrastructure. That’s priceless. The time and energy saved allows us to disrupt and grow faster.”

Learn more

Alexis Weill

Data Lead

“We chose Airbyte for its ease of use, its pricing scalability and its absence of vendor lock-in. Having a lean team makes them our top criteria. The value of being able to scale and execute at a high level by maximizing resources is immense”

Learn more

How to Sync Airtable to Starburst Galaxy 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 Airtable?

Airtable is a cloud collaboration service.

What data can you extract from Airtable?

Airtable's API provides access to a wide range of data types, including:
‍
1. Tables: The primary data structure in Airtable, tables contain records and fields.
2. Records: Each row in a table is a record, which contains data for each field.
3. Fields: Each column in a table is a field, which can contain various data types such as text, numbers, dates, attachments, and more.
4. Views: Airtable allows users to create different views of their data, such as grid view, calendar view, and gallery view.
5. Forms: Airtable also allows users to create forms to collect data from external sources.
6. Attachments: Users can attach files to records, such as images, documents, and videos.
7. Collaborators: Airtable allows users to collaborate with others on their data, with different levels of access and permissions.
8. Metadata: Airtable's API also provides access to metadata about tables, fields, and records, such as creation and modification dates.

Overall, Airtable's API provides a comprehensive set of data types and features for users to manage and manipulate their data in a flexible and customizable way.

How do I transfer data from Airtable?

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 Airtable to Starburst Galaxy 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 Airtable to Starburst Galaxy 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.

Back to all tutorials

Databases

Finance & Ops Analytics

How to load data from Airtable to Starburst Galaxy

Learn how to use Airbyte to synchronize your Airtable data into Starburst Galaxy within minutes.

Try Airbyte Cloud free

Deploy Airbyte Open Source

TL;DR

What is Airtable

What is Starburst Galaxy

Prerequisites

Step 1: Setup Airtable

Step 2: Setup Starburst Galaxy

Step 3: Setup a connection Use Cases Wrapping Up

Example H2

Example H3

Sync data between Airtable and Starburst Galaxy

Get your data syncing in minutes

Try Airbyte free

TL;DR

set up Airtable as a source connector (using Auth, or usually an API key)
set up Starburst Galaxy 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 Airtable

Airtable is a cloud collaboration service.

What is Starburst Galaxy

Integrate Airtable with Starburst Galaxy in minutes

Try for free now

Prerequisites

A Airtable account to transfer your customer data automatically from.
A Starburst Galaxy 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 Airtable as a source connector

Step 2: Set up Starburst Galaxy as a destination connector

Step 3: Set up a connection to sync your Airtable data to Starburst Galaxy

Once you've successfully connected Airtable as a data source and Starburst Galaxy 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 Airtable from the dropdown list of your configured sources.
Select your destination: Choose Starburst Galaxy 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 Airtable objects you want to import data from towards Starburst Galaxy. 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 Airtable to Starburst Galaxy according to your settings.

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

Use Cases to transfer your Airtable data to Starburst Galaxy

Integrating data from Airtable to Starburst Galaxy provides several benefits. Here are a few use cases:

Advanced Analytics: Starburst Galaxy’s powerful data processing capabilities enable you to perform complex queries and data analysis on your Airtable data, extracting insights that wouldn't be possible within Airtable alone.
Data Consolidation: If you're using multiple other sources along with Airtable, syncing to Starburst Galaxy 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: Airtable has limits on historical data. Syncing data to Starburst Galaxy allows for long-term data retention and analysis of historical trends over time.
Data Security and Compliance: Starburst Galaxy provides robust data security features. Syncing Airtable data to Starburst Galaxy ensures your data is secured and allows for advanced data governance and compliance management.
Scalability: Starburst Galaxy can handle large volumes of data without affecting performance, providing an ideal solution for growing businesses with expanding Airtable data.
Data Science and Machine Learning: By having Airtable data in Starburst Galaxy, you can apply machine learning models to your data for predictive analytics, customer segmentation, and more.
Reporting and Visualization: While Airtable provides reporting tools, data visualization tools like Tableau, PowerBI, Looker (Google Data Studio) can connect to Starburst Galaxy, providing more advanced business intelligence options. If you have a Airtable table that needs to be converted to a Starburst Galaxy table, Airbyte can do that automatically.