twitter_data-lakehouse_minio_drill_superset VS astro

Compare twitter_data-lakehouse_minio_drill_superset vs astro and see what are their differences.

twitter_data-lakehouse_minio_drill_superset

Building a Data Lakehouse for Analyzing Elon Musk Tweets using MinIO, Apache Airflow, Apache Drill and Apache Superset (by mikekenneth)
apache-airflow apache-drill apache-superset Minio Python S3 Twitter
Source Code
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astro

Astro SDK allows rapid and clean development of {Extract, Load, Transform} workflows using Python and SQL, powered by Apache Airflow. [Moved to: https://github.com/astronomer/astro-sdk] (by astro-projects)
Python SQL Pandas Airflow Sqlite Bigquery Postgres Snowflake Gcs S3 ETL elt dags Workflows Data Analysis Data Science apache-airflow

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twitter_data-lakehouse_minio_drill_superset astro
1 2
3 183
- -
10.0 10.0
about 1 year ago over 1 year ago
Python Python
MIT License Apache License 2.0
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twitter_data-lakehouse_minio_drill_superset

Posts with mentions or reviews of twitter_data-lakehouse_minio_drill_superset. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-20.

astro

Posts with mentions or reviews of astro. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-15.
  • After Airflow. Where next for DE?
    13 projects | /r/dataengineering | 15 Nov 2022
    What I would suggest is if you want an "Airflow 3.0" feel you check out the Astro SDK. My team and I basically spent a year and a half rewriting the Airflow DAG writing experience from the ground up. Completely different feel, highly scalable SQL/python/spark (soon) workflows that basically feel like native python. Way easier to test as well. You can pass dataframes into SQL queries, load data from any supported source to any supported warehouse, and things like lineage are natively supported :)

What are some alternatives?

When comparing twitter_data-lakehouse_minio_drill_superset and astro you can also consider the following projects:

superset - Apache Superset is a Data Visualization and Data Exploration Platform

astro-sdk - Astro SDK allows rapid and clean development of {Extract, Load, Transform} workflows using Python and SQL, powered by Apache Airflow.

Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

airflow-maintenance-dags - A series of DAGs/Workflows to help maintain the operation of Airflow

Mage - 🧙 The modern replacement for Airflow. Mage is an open-source data pipeline tool for transforming and integrating data. https://github.com/mage-ai/mage-ai

getting-started - This repository is a getting started guide to Singer.

sqlelf - Explore ELF objects through the power of SQL

typhoon-orchestrator - Create elegant data pipelines and deploy to AWS Lambda or Airflow

f1-data-pipeline - F1 Data Pipeline

mais - ⚙️ Código de manutenção do datalake (metadados e pacotes de acesso) | 📖 Docs: https://basedosdados.github.io/mais/

pathy - simple, flexible, offline capable, cloud storage with a Python path-like interface

grafana-backup-tool - A Python-based application to backup Grafana settings by using the Grafana API

twitter_data-lakehouse_minio_drill_superset vs superset astro vs astro-sdk twitter_data-lakehouse_minio_drill_superset vs Airflow astro vs airflow-maintenance-dags astro vs Mage astro vs getting-started astro vs sqlelf astro vs typhoon-orchestrator astro vs f1-data-pipeline astro vs mais astro vs pathy astro vs grafana-backup-tool