This repository accompanies the blog article "Change Data Capture (CDC) from PostgreSQL into Upstash Vector using Kafka, Python, and Quix." It demonstrates how to efficiently capture data changes in a PostgreSQL database and stream them into an Upstash Vector database using Kafka, Python, and the Quix platform.
Change Data Capture (CDC) is crucial for applications requiring real-time data accuracy, such as AI-chatbots in e-commerce. By only processing and transmitting changed data, CDC minimizes data latency and reduces resource consumption.
This tutorial leverages:
- PostgreSQL: Source database for capturing changes.
- Upstash: Serverless Kafka for data streaming and Vector database for storing vectorized data.
- Quix: Offers a Python-based framework for stream processing, handling the ingestion and transformation of streaming data.
- Prerequisites: Sign up for free accounts at Upstash and Quix.
- Set up: Follow the Quix template creation link to deploy the environment using the code from this repository.
- Run: Start services via the Quix platform and populate your PostgreSQL database to see real-time data ingestion into the Upstash Vector database.
- Capture Changes: Detects and captures data modifications in PostgreSQL.
- Process Data: Python scripts use the Quix Streams library to transform data into a suitable format for vector databases.
- Upsert Data: Stream the transformed data into Upstash VectorDB for quick retrieval and querying.
- Code: Explore the full source code provided in this repository.
- Documentation: Detailed instructions are available in the accompanying blog article and the READMEs of individual components within this repo.
Join the Quix Community Slack for support and discussions about real-time data processing with Quix and Upstash.