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https://github.com/raystack/optimus

Optimus is an easy-to-use, reliable, and performant workflow orchestrator for data transformation, data modeling, pipelines, and data quality management.
https://github.com/raystack/optimus

airflow analytics analytics-engineering automation bigquery business-intelligence data-modelling data-pipelines data-transformation data-warehouse dataops elt etl golang workflows

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Optimus is an easy-to-use, reliable, and performant workflow orchestrator for data transformation, data modeling, pipelines, and data quality management.

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# Optimus

[![verify workflow](https://github.com/raystack/optimus/actions/workflows/verify.yml/badge.svg)](verification)
[![publish latest workflow](https://github.com/raystack/optimus/actions/workflows/publish-latest.yml/badge.svg)](build)
[![Coverage Status](https://coveralls.io/repos/github/raystack/optimus/badge.svg?branch=main)](https://coveralls.io/github/raystack/optimus?branch=main)
[![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg?logo=apache)](LICENSE)
[![Version](https://img.shields.io/github/v/release/raystack/optimus?logo=semantic-release)](Version)

Optimus is an easy-to-use, reliable, and performant workflow orchestrator for data transformation, data modeling, pipelines, and data quality management. It enables data analysts and engineers to transform their data by writing simple SQL queries and YAML configuration while Optimus handles dependency management, scheduling and all other aspects of running transformation jobs at scale.

## Key Features

Discover why users choose Optimus as their main data transformation tool.

- **Warehouse management:** Optimus allows you to create and manage your data warehouse tables and views through YAML based configuration.
- **Scheduling:** Optimus provides an easy way to schedule your SQL transformation through a YAML based configuration.
- **Automatic dependency resolution:** Optimus parses your data transformation queries and builds a dependency graphs automaticaly instead of users defining their source and taget dependencies in DAGs.
- **Dry runs:** Before SQL query is scheduled for transformation, during deployment query will be dry-run to make sure it passes basic sanity checks.
- **Powerful templating:** Optimus provides query compile time templating with variables, loop, if statements, macros, etc for allowing users to write complex tranformation logic.
- **Cross tenant dependency:** Optimus is a multi-tenant service, if there are two tenants registered, serviceA and serviceB then service B can write queries referencing serviceA as source and Optimus will handle this dependency as well.
- **Hooks:** Optimus provides hooks for post tranformation logic. e,g. You can sink BigQuery tables to Kafka.
- **Extensibility:** Optimus support Python transformation and allows for writing custom plugins.
- **Workflows:** Optimus provides industry proven workflows using git based specification management and REST/GRPC based specification management for data warehouse management.

## Usage

Optimus has two components, Optimus service that is the core orchestrator installed on server side, and a CLI binary used to interact with this service. You can install Optimus CLI using homebrew on macOS:

```shell
$ brew install raystack/tap/optimus
$ optimus --help

Optimus is an easy-to-use, reliable, and performant workflow orchestrator for
data transformation, data modeling, pipelines, and data quality management.

Usage:
optimus [command]

Available Commands:
backup Backup a resource and its downstream
completion Generate the autocompletion script for the specified shell
extension Operate with extension
help Help about any command
init Interactively initialize Optimus client config
job Interact with schedulable Job
migration Command to do migration activity
namespace Commands that will let the user to operate on namespace
playground Play around with some Optimus features
plugin Manage plugins
project Commands that will let the user to operate on project
resource Interact with data resource
secret Manage secrets to be used in jobs
scheduler Scheduled/run job related functions
serve Starts optimus service
version Print the client version information

Flags:
-h, --help help for optimus
--no-color Disable colored output

Use "optimus [command] --help" for more information about a command.
```

## Documentation

Explore the following resources to get started with Optimus:

- [Guides](https://raystack.github.io/optimus/docs/guides/create-job/) provides guidance on using Optimus.
- [Concepts](https://raystack.github.io/optimus/docs/concepts/overview/) describes all important Optimus concepts.
- [Reference](https://raystack.github.io/optimus/docs/reference/api/) contains details about configurations, metrics and other aspects of Optimus.
- [Contribute](https://raystack.github.io/optimus/docs/contribute/contributing/) contains resources for anyone who wants to contribute to Optimus.

## Running locally

Optimus requires the following dependencies:

- Golang (version 1.16 or above)
- Git

Run the following commands to compile `optimus` from source

```shell
$ git clone [email protected]:raystack/optimus.git
$ cd optimus
$ make
```

Use the following command to run

```shell
$ ./optimus version
```

Optimus service can be started with

```shell
$ ./optimus serve
```

`serve` command has few required configurations that needs to be set for it to start. Read more about it in [getting started](https://raystack.github.io/optimus/docs/getting-started/configuration).

## Compatibility

Optimus is currently undergoing heavy development with frequent, breaking API changes. Current major version is zero (v0.x.x) to accommodate rapid development and fast iteration while getting early feedback from users (feedback on APIs are appreciated). The public API could change without a major version update before v1.0.0 release.

## Contribute

Development of Optimus happens in the open on GitHub, and we are grateful to the community for contributing bugfixes and improvements. Read below to learn how you can take part in improving Optimus.

Read our [contributing guide](https://raystack.github.io/optimus/docs/contribute/contributing) to learn about our development process, how to propose bugfixes and improvements, and how to build and test your changes to Optimus.

To help you get your feet wet and get you familiar with our contribution process, we have a list of [good first issues](https://github.com/raystack/optimus/labels/good%20first%20issue) that contain bugs which have a relatively limited scope. This is a great place to get started.

## License

Optimus is [Apache 2.0](LICENSE) licensed.