Data Engineering Tools in Go

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

Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
  • SaaSHub - Software Alternatives and Reviews
  • cockroach

    CockroachDB - the open source, cloud-native distributed SQL database.

  • Our entire backend is written in Go. We've built a platform that allows other companies to offer automatic data syncing to their customers' data warehouses. Go works great for building distributed systems like this (see K8s). We're not the only ones in the space building data intensive applications with Go. Pachyderm, Pinecone, Cockroach Labs and are all also doing it. We've been quite happy with how Go has worked for us.

  • optimus

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

  • You can check odpf github, they created some dataops tools using go, one of the example is optimus (https://github.com/odpf/optimus) which is a data pipeline orchestrator

  • 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
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

Related posts