How We Used Tinybird to Build Our Real-Time Analytics Dashboard
In today’s digital age, the ability to analyze data in real-time is essential for optimizing marketing strategies and engaging audiences effectively.
At CodeQR.io, we implemented a robust solution to monitor link clicks and QR code scans in real-time, leveraging Tinybird as the ideal platform to meet our needs.
Why We Chose Tinybird
Real-time analytics provides a strategic advantage, enabling businesses to make informed decisions quickly. However, building a real-time infrastructure can be complex and costly. We needed a scalable and flexible platform to build event pipelines that aggregated data from multiple sources. Tinybird emerged as the perfect solution.
What is Tinybird?
Tinybird is a real-time data platform that simplifies the ingestion of streaming data and allows the publication of real-time APIs for quick consumption.
Our Criteria for Choosing Tinybird
- High-Frequency Data Ingestion
Tinybird supports high-frequency data ingestion from various sources, including Kafka and SaaS, ensuring that our analytics remain up to date. - Real-Time Data Processing and Transformation
Using its intuitive interface, we created transformations to filter, aggregate, and enrich data as it was ingested. - Low-Latency and High-Concurrency APIs
The platform enables us to publish SQL queries as low-latency REST APIs, complete with authentication, OpenAPI documentation, and integrated monitoring dashboards for API performance.
How We Built Our Real-Time Analytics Dashboard
Our implementation followed several key steps:
