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ยท 7 min read

In today's data-driven world, having access to real-time data is crucial and gaining a value from the data is more cumbersome. Another challenge developers face when working with real-time data is efficiently and quickly fetching, processing, and displaying the insights from the data.

Enter Dozer, it simplifies the process of creating low-latency data APIs (gRPC and REST) from any data source easily with OpenAPI specification. Dozer is a real-time data engineering tool built with Rust, which enables seamless integration of data streams(sources), efficient data processing, and lightning-fast response times. This allows developers to focus on building applications without worrying about the complexity of managing real-time data.

To know more about it's capabilities and features you can checkout Dozer repository.

In this blog, we'll walk you through the process of creating a real-time flight data application using Dozer, React. For this particular blog, we are using PostgreSQL as our data source, but it's important to note that there can be multiple data sources that can be connected to Dozer and subsequently used by your React application. By using Dozer, you can quickly create efficient data APIs that enable seamless integration with your frontend applications. PostgreSQL is connected to Dozer via PostgreSQL connector and fetches data from multiple Postgres tables that has a flight data and combines them in real time based on the queries and produces fast low latency APIs.