docker-livy VS pyspark-on-aws-emr

Compare docker-livy vs pyspark-on-aws-emr and see what are their differences.

pyspark-on-aws-emr

The goal of this project is to offer an AWS EMR template using Spot Fleet and On-Demand Instances that you can use quickly. Just focus on writing pyspark code. (by Wittline)
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docker-livy pyspark-on-aws-emr
1 1
11 24
- -
0.0 3.6
almost 2 years ago almost 2 years ago
HTML Python
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

docker-livy

Posts with mentions or reviews of docker-livy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-15.

pyspark-on-aws-emr

Posts with mentions or reviews of pyspark-on-aws-emr. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-15.

What are some alternatives?

When comparing docker-livy and pyspark-on-aws-emr you can also consider the following projects:

pyDag - Scheduling Big Data Workloads and Data Pipelines in the Cloud with pyDag

TypedPyspark - Type-annotate your spark dataframes and validate them

data-engineering-challenge-th - Dockerizing a Python Script for Web Scraping and consume the scraped data using FastApi (www.metroscubicos.com)

demo-code - Bits of code I use during live demos

apache-spark-docker - Dockerizing an Apache Spark Standalone Cluster

Traffic-Data-Analysis-with-Apache-Spark-Based-on-Mobile-Robot-Data - Mobile robot data were analyzed with Apache-Spark to extract five different statistical result such as travel time, waiting time, average speed, occupancy and density were produced.

data-engineer-challenge - Challenge Data Engineer

livyc - Apache Spark as a Service with Apache Livy Client

dockerAngularNginxNodePostgreSQL - A complete stack for running builded Angular App into Docker containers using docker compose tool, with a proxy Nginx between front and back (conected to the DB container with Sequelize ORM).

IDEA - Text Data Visualizer with Django

uber-expenses-tracking - The goal of this project is to track the expenses of Uber Rides and Uber Eats through data Engineering processes using technologies such as Apache Airflow, AWS Redshift and Power BI.

pyspark-starter - Starter pyspark code with a working combination of all versions