• Stars
    star
    742
  • Rank 61,120 (Top 2 %)
  • Language
    Go
  • License
    Apache License 2.0
  • Created over 3 years ago
  • Updated 6 months ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

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

Optimus

verify workflow publish latest workflow Coverage Status License 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:

$ 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 provides guidance on using Optimus.
  • Concepts describes all important Optimus concepts.
  • Reference contains details about configurations, metrics and other aspects of Optimus.
  • Contribute 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

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

Use the following command to run

$ ./optimus version

Optimus service can be started with

$ ./optimus serve

serve command has few required configurations that needs to be set for it to start. Read more about it in getting started.

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 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 that contain bugs which have a relatively limited scope. This is a great place to get started.

License

Optimus is Apache 2.0 licensed.

More Repositories

1

firehose

Firehose is an extensible, no-code, and cloud-native service to load real-time streaming data from Kafka to data stores, data lakes, and analytical storage systems.
Java
319
star
2

dagger

Dagger is an easy-to-use, configuration over code, cloud-native framework built on top of Apache Flink for stateful processing of real-time streaming data.
Java
261
star
3

frontier

Frontier is an all-in-one user management platform that provides identity, access and billing management to help organizations secure their systems and data. (Open source alternative to Clerk)
Go
252
star
4

stencil

Stencil is a schema registry that provides schema management and validation dynamically, efficiently, and reliably to ensure data compatibility across applications.
Go
221
star
5

raccoon

Raccoon is a high-throughput, low-latency service to collect events in real-time from your web, mobile apps, and services using multiple network protocols.
Go
192
star
6

meteor

Meteor is an easy-to-use, plugin-driven metadata collection framework to extract data from different sources and sink to any data catalog.
Go
181
star
7

guardian

Guardian is universal data access management tool with automated access workflows and security controls across data stores, analytical systems, and cloud products.
Go
137
star
8

siren

Siren provides an easy-to-use universal alert, notification, channels management framework for the entire observability infrastructure.
Go
77
star
9

compass

Compass is an enterprise data catalog that makes it easy to find, understand, and govern data.
Go
63
star
10

apsara

Apsara is an open-source re-usable UI components built using Radix UI and CSS modules to power Raystack projects.
TypeScript
56
star
11

proton

This repository is home to the original protobuf interface definitions which are used throughout the Raystack ecosystem.
54
star
12

cosmos

Cosmos is an operational analytics server to build custom apps with embedded analytics that deliver data experiences as unique as your business.
TypeScript
46
star
13

charts

This repository is home to the original helm charts for products throughout the open data platform ecosystem.
Smarty
41
star
14

transformers

This repository is home to the Optimus data transformation plugins for various data processing needs.
Python
35
star
15

homebrew-tap

This repository is home to the original homebrew taps for products throughout the Raystack ecosystem.
Ruby
31
star
16

platform

ODPF is the next-gen collaborative and distributed data platform to power data-driven workflows.
30
star
17

entropy

Entropy is a framework to safely and predictably create, change, and improve modern cloud applications and infrastructure using familiar languages, tools, and engineering practices.
Go
19
star
18

handbook

Handbook is the central repository for how we build products within ODPF community.
CSS
14
star
19

salt

Salt is a collection of libraries and tools used in the Raystack ecosystem to improve the experience of developing projects with Go.
Go
13
star
20

depot

Depot contains various common sink implementations and publishes them as a library. This library will be used in firehose, daggers or any other application which wants to send data to destinations.
Java
9
star
21

predator

Go
3
star
22

dex

Data Experience
Go
3
star
23

frontier-go

Go
2
star
24

frontier-python

Python
2
star
25

.github

This repository contains the community health files for the @raystack organization
1
star
26

chronicle

TypeScript
1
star
27

scoop-bucket

This repository is home to the original scoop buckets for products throughout the Open DataOps platform ecosystem.
1
star