Dozer is an open-source data infrastructure platform designed to empower developers to build, deploy, and maintain real-time data products efficiently. By simplifying the creation of low-latency, highly scalable data APIs, Dozer enables seamless integration with various data sources, including databases, data warehouses, and data lakes. Its plug-and-play architecture allows developers to transform and aggregate data in real-time, facilitating the rapid development of data-driven applications. Key Features and Functionality: - Real-Time Data Processing: Utilizes Change Data Capture and periodic polling to ensure up-to-date data ingestion from multiple sources. - Reactive SQL Engine: Provides a real-time view of data by transforming it as it changes, enabling immediate insights. - Automatic API Generation: Generates REST and gRPC APIs with OpenAPI documentation and Protobuf definitions, streamlining the development process. - High-Performance Caching: Stores data in an embedded cache optimized for efficient queries and horizontal scalability. - Wide Range of Connectors: Supports integration with databases like PostgreSQL and MySQL, data warehouses such as Snowflake, and even the Ethereum ledger. - Built with Rust: Ensures high performance and memory safety, leveraging Rust's capabilities for robust and efficient data processing. Primary Value and Problem Solved: Dozer addresses the complexity and time-consuming nature of building real-time, scalable data APIs. By providing a unified platform that handles data ingestion, transformation, and API generation, it eliminates the need for developers to integrate multiple tools. This not only accelerates the development process but also reduces maintenance overhead, allowing developers to focus on creating value-driven applications without the intricacies of managing real-time data pipelines.