How to load data from Plaid to MySQL Destination

Learn how to use Airbyte to synchronize your Plaid data into MySQL Destination 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 Plaid connector in Airbyte

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

Set up MySQL Destination for your extracted Plaid data

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

Configure the Plaid to MySQL Destination 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 Plaid as a source connector (using Auth, or usually an API key)
set up MySQL Destination 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 Plaid

Plaid is a technology platform that makes it possible for companies to develop digitally-enabled financial systems. It enables developers to build financial services and applications safely and easily for financial institutions of any size. Plaid powers many financial apps including Venmo, Betterment, Chime, and Dave, encrypting your data before sharing it with your chosen app to keep your connection secure.

What is MySQL Destination

MySQL is an SQL (Structured Query Language)-based open-source database management system. An application with many uses, it offers a variety of products, from free MySQL downloads of the most recent iteration to support packages with full service support at the enterprise level. The MySQL platform, while most often used as a web database, also supports e-commerce and data warehousing applications, and more.

Integrate Plaid with MySQL Destination in minutes

Try for free now

Prerequisites

A Plaid account to transfer your customer data automatically from.
A MySQL Destination 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 Plaid and MySQL Destination, for seamless data migration.

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

Step 1: Set up Plaid as a source connector

1. First, navigate to the Plaid website and create an account if you haven't already. Once you have an account, log in and navigate to the "API" section of the dashboard.

2. In the API section, click on "Credentials" and then "Create a new set of credentials." Follow the prompts to select the appropriate product and environment for your use case.

3. Once you have created your credentials, you will be provided with a "client ID," "secret," and "public key." Copy these values and keep them handy.

4. Next, navigate to your Airbyte dashboard and click on "Sources" in the left-hand menu. Then, click on "Create a new source" and select "Plaid" from the list of available connectors.

5. In the Plaid source configuration screen, enter a name for your source and paste in the client ID, secret, and public key that you copied from the Plaid dashboard.

6. Select the appropriate environment (sandbox or production) and enter the credentials for the Plaid account you want to connect to Airbyte.

7. Finally, click "Test connection" to ensure that Airbyte can successfully connect to your Plaid account. If the test is successful, click "Create source" to save your configuration and start syncing data.

Step 2: Set up MySQL Destination as a destination connector

1. First, you need to have a MySQL database set up and running. Ensure that you have the necessary credentials to access the database.
2. Log in to your Airbyte account and navigate to the "Destinations" tab.
3. Click on the "Add Destination" button and select "MySQL" from the list of available connectors.
4. Enter the necessary details such as the host, port, username, password, and database name. Ensure that the details are accurate and match the credentials you have for your MySQL database.
5. Test the connection to ensure that Airbyte can successfully connect to your MySQL database. If the connection is successful, you will receive a confirmation message.
6. Once the connection is established, you can configure the settings for your MySQL destination connector. You can choose to enable or disable certain features such as SSL encryption, bulk loading, and more.
7. You can also set up the schema mapping for your MySQL database. This involves mapping the fields from your source data to the corresponding fields in your MySQL database.
8. Once you have configured the settings and schema mapping, you can start syncing data from your source to your MySQL database. You can choose to run the sync manually or set up a schedule for automatic syncing.
9. Monitor the sync process to ensure that data is being transferred accurately and efficiently. You can view the sync logs and troubleshoot any issues that may arise.
10. Congratulations! You have successfully connected your MySQL destination connector on Airbyte and can now start syncing data from your source to your MySQL database.

Step 3: Set up a connection to sync your Plaid data to MySQL Destination

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

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

Use Cases to transfer your Plaid data to MySQL Destination

Integrating data from Plaid to MySQL Destination provides several benefits. Here are a few use cases:

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

Wrapping Up

To summarize, this tutorial has shown you how to:

Configure a Plaid account as an Airbyte data source connector.
Configure MySQL Destination as a data destination connector.
Create an Airbyte data pipeline that will automatically be moving data directly from Plaid to MySQL Destination 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 Plaid to MySQL Destination 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 Plaid?

What data can you extract from Plaid?

Plaid's API provides access to a wide range of financial data, including:

1. Account Information: Plaid's API allows access to account information such as account balances, transaction history, and account holder details.

2. Transactions: Plaid's API provides access to transaction data, including transaction amounts, dates, and descriptions.

3. Investments: Plaid's API allows access to investment account data, including holdings, transactions, and performance metrics.

4. Loans: Plaid's API provides access to loan account data, including loan balances, payment history, and interest rates.

5. Identity Verification: Plaid's API allows for identity verification through bank account information, including name, address, and account ownership.

6. Authentication: Plaid's API provides authentication services to verify account ownership and prevent fraud.

7. Payment Initiation: Plaid's API allows for payment initiation through bank accounts, enabling users to make payments directly from their accounts.

Overall, Plaid's API provides a comprehensive suite of financial data services that can be used by developers to build innovative financial applications and services.

How do I transfer data from Plaid?

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 Plaid to MySQL 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 Plaid to MySQL 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 Plaid to MySQL Destination

Learn how to use Airbyte to synchronize your Plaid data into MySQL Destination within minutes.

Try Airbyte Cloud free

Deploy Airbyte Open Source

TL;DR

What is Plaid

What is MySQL Destination

Prerequisites

Step 1: Setup Plaid

Step 2: Setup MySQL Destination

Step 3: Setup a connection Use Cases Wrapping Up

Example H2

Example H3

Sync data between Plaid and MySQL Destination

Get your data syncing in minutes

Try Airbyte free

TL;DR

set up Plaid as a source connector (using Auth, or usually an API key)
set up MySQL Destination 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 Plaid

What is MySQL Destination

Integrate Plaid with MySQL Destination in minutes

Try for free now

Prerequisites

A Plaid account to transfer your customer data automatically from.
A MySQL Destination 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 Plaid as a source connector

1. First, navigate to the Plaid website and create an account if you haven't already. Once you have an account, log in and navigate to the "API" section of the dashboard.

2. In the API section, click on "Credentials" and then "Create a new set of credentials." Follow the prompts to select the appropriate product and environment for your use case.

3. Once you have created your credentials, you will be provided with a "client ID," "secret," and "public key." Copy these values and keep them handy.

4. Next, navigate to your Airbyte dashboard and click on "Sources" in the left-hand menu. Then, click on "Create a new source" and select "Plaid" from the list of available connectors.

5. In the Plaid source configuration screen, enter a name for your source and paste in the client ID, secret, and public key that you copied from the Plaid dashboard.

6. Select the appropriate environment (sandbox or production) and enter the credentials for the Plaid account you want to connect to Airbyte.

Step 2: Set up MySQL Destination as a destination connector

Step 3: Set up a connection to sync your Plaid data to MySQL Destination

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

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

Use Cases to transfer your Plaid data to MySQL Destination

Integrating data from Plaid to MySQL Destination provides several benefits. Here are a few use cases:

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