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What is Dozer?

📚 Overview

Dozer implements a Real-Time SQL Engine that connects to any of your data sources, transforms and stores the data in an embedded cache powered by LMDB, automatically creates secondary indexes and instantly generates REST and gRPC APIs. Protobuf and Open API documentation are available out of the box.

Dozer is implemented fully in Rust for fast processing of data and is less resource intensive.


Dozer takes an end-to-end approach, aiming to drastically lower the cost, complexity and effort involved in putting together the data infrastructure necessary to build data applications. Today developers have to integrate and maintain a variety of tools to achieve the same result.

At Dozer, we believe developers spend many valuable hours building core plumbing and infrastructure work and often integrate several products. We take an opinionated approach to solving data serving problems with a single product that offers end-to-end functionality all the way from the data sources to producing data APIs.

Detailed Architecture can be found here.

What can you do with Dozer

  • Create blazing fast end to end gRPC and REST APIs in minutes with a simple configuration.
  • Build and rapidly iterate on customer facing data apps.
  • Transform your data in real-time using standard SQL.
  • Cache your data and get search and filter functionality out of the box.
  • Extend Dozer with custom connectors, operators and Api transformations using WASM.
  • Built with Rust with performance and extensibility in mind.
  • OpenAPI documentation and protobuf data contracts are auto-generated.

Plug & Play

Dozer instantly generates fully indexed gRPC and REST APIs automatically. All you need is to configure a YAML file with your data source configuration and the APIs you want to deploy. As simple as that. There is no need to write any additional code saving several developer hours. Dozer is very much customizable. You can refer to your Contributing section for more information on building more connectors as well as transformations.

Connect to all sources

Dozer doesn't make a distinction between types of data sources. Developers can get a seamless experience building products with application databases such as Postgres and MySQL, data warehouses such as SnowFlake and cloud storage such as S3 and Deltalake. Dozer can also consume real-time events and Ethereum data.

Combine data from multiple sources

Dozer can in real-time join data coming from multiple data sources powering advanced use cases such as customer personalization, real-time analytics etc. This can be done using the standard JOIN operator in SQL.

APIs & Real-time queries

At the heart of the implementation, Dozer has a streaming data pipeline that works on CDC across all stores. As new data flows in, Dozer incrementally computes aggregations and joins, and offers a far superior query experience than a traditional database for these scenarios.

Data is stored in a cache built on LMDB (Lightning Memory-Mapped Database) and secondary indexes for single columns are automatically built. This gives users instant queryable APIs with operations such as filter, sort, and order_by functionality.


Dozer can be run as a single process for simple applications or can be run in a distributed fashion where writing and reading are de-coupled. This is a cost-effective approach where reading has a very low overhead and can be scaled on demand.


Dozer offers authorization functionality through JWT tokens. We will creating a How To guide on Authorization soon.