Seeking opinions on workflow/DAG orchestration with Go

This page summarizes the projects mentioned and recommended in the original post on /r/golang

InfluxDB - Power Real-Time Data Analytics at Scale
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SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
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  • gleam

    Fast, efficient, and scalable distributed map/reduce system, DAG execution, in memory or on disk, written in pure Go, runs standalone or distributedly. (by chrislusf)

  • Gleam

  • flyte

    Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.

  • Flyte

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
  • temporal

    Temporal service

  • Temporal

  • goflow

    A Golang based high performance, scalable and distributed workflow framework (by s8sg)

  • GoFlow

  • Benthos

    Fancy stream processing made operationally mundane

  • Benthos

  • flower

    [Proof of Concept] This is the simple implementation of the workflow engine that manages workflows composed of DAGs. (by d-tsuji)

  • Flower

  • optimus

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

  • this may help: https://github.com/odpf/optimus

  • SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

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  • argo

    Workflow Engine for Kubernetes

  • If you’re using K8s there’s Argo workflows : https://argoproj.github.io/argo-workflows/

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

Suggest a related project

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