How to load data from Polygon Stock API to TiDB
Learn how to use Airbyte to synchronize your Polygon Stock API data into TiDB within minutes.
Building your pipeline or Using Airbyte
Airbyte is the only open source solution empowering data teams to meet all their growing custom business demands in the new AI era.
Building in-house pipelines
- Inconsistent and inaccurate data
- Laborious and expensive
- Brittle and inflexible
After Airbyte
- Reliable and accurate
- Extensible and scalable for all your needs
- Deployed and governed your way
Start syncing with Airbyte in 3 easy steps within 10 minutes
Take a virtual tour
Demo video of Airbyte Cloud
Demo video of AI Connector Builder
Setup Complexities simplified!
Simple & Easy to use Interface
Airbyte is built to get out of your way. Our clean, modern interface walks you through setup, so you can go from zero to sync in minutes—without deep technical expertise.
Guided Tour: Assisting you in building connections
Whether you’re setting up your first connection or managing complex syncs, Airbyte’s UI and documentation help you move with confidence. No guesswork. Just clarity.
Airbyte AI Assistant that will act as your sidekick in building your data pipelines in Minutes
Airbyte’s built-in assistant helps you choose sources, set destinations, and configure syncs quickly. It’s like having a data engineer on call—without the overhead.
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 enables both incremental and full refreshes for databases of any size, seamlessly scaling to handle large data volumes. Our optimized architecture overcomes performance bottlenecks, ensuring efficient data synchronization even as your datasets grow from gigabytes to petabytes.
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 AI 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
Raman Singh
Predictable, straightforward pricing model that simplified budgeting and significantly reduced overall spend
Chase Zieman
“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.”
Rupak Patel
"With Airbyte, we could just push a few buttons, allow API access, and bring all the data into Google BigQuery. By blending all the different marketing data sources, we can gain valuable insights."
How to Sync to Manually
Step 1: Understand the Polygon Stock API
Begin by thoroughly reading the documentation of the Polygon Stock API. Understand the data endpoints, authentication requirements, and the structure of the data provided. This will help you know how to request and handle the data effectively.
Step 2: Set Up a Basic Script to Fetch Data
Write a script in a programming language of your choice (e.g., Python) to authenticate and fetch data from the Polygon Stock API. Use the HTTP client library available in your chosen language to send requests to the API and receive responses.
Step 3: Parse and Structure the Data
Once you receive the data from the API, parse it into a structured format. If the data is in JSON format, use your language’s JSON library to convert it into an object or a dictionary, which makes it easier to manipulate and access specific data fields.
Step 4: Prepare Your TiDB Environment
Ensure that your TiDB instance is properly set up and running. Configure your networking and security settings to allow remote connections if needed. Make sure you have the necessary permissions to create tables and insert data.
Step 5: Design the Database Schema in TiDB
Based on the structure of the data received from the API, design and create a corresponding database schema in TiDB. This includes deciding on the table structures, data types, and any necessary indexes to efficiently store and query the data.
Step 6: Write a Script to Insert Data into TiDB
Extend your initial script to include functionality to connect to your TiDB instance using a database client library. Use SQL INSERT statements to insert the parsed data into your TiDB tables. Ensure that your script handles any potential errors during the insertion process gracefully.
Step 7: Automate the Data Transfer Process
To keep your TiDB database updated with the latest data from the Polygon Stock API, schedule your script to run at regular intervals using a task scheduler like cron (on Unix-based systems) or Task Scheduler (on Windows). This ensures continuous data synchronization between the API and your database.