AWS Data Wrangler
Dask
Apache Spark
Kafka
Serverspec
Celery
Apache Airflow
RSpec
Hangfire
Sidekiq
RabbitMQ
Enqueue It
Apache Kafka
Resque
delayed_job
Amazon SQS
AWS Data Wrangler HangfireHangfire might be a bit more popular than AWS Data Wrangler. We know about 5 links to it since March 2021 and only 4 links to AWS Data Wrangler. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I had no problem with awswrangler (https://github.com/aws/aws-sdk-pandas) and it supports reading and writing partitions which was really helpful and a few other optimizations that made it a great tool. Source: 6 months ago
Awslabs has developed their own package for this and given it's for their product, seem likely to maintain it. https://github.com/awslabs/aws-data-wrangler. Source: over 2 years ago
AWS data wrangler works well. it's a wrapper on pandas: https://github.com/awslabs/aws-data-wrangler. Source: over 2 years ago
Yep, agreed. Go is a great language for AWS Lambda type workflows. Python isn't as great (Python Lambda Layers built on Macs don't always work). AWS Data Wrangler (https://github.com/awslabs/aws-data-wrangler) provides pre-built layers, which is a work around, but something that's as portable as Go would be the best solution. - Source: Hacker News / about 3 years ago
Hangfire (https://hangfire.io) includes default exception handling and is very extensible, I think it's a good mid-level choice and a good alternative to other queue mechanism, if you can't afford to host a separated queue service or can't manage a separated service; also scales pretty well (you can have multiple servers handling the same background job queue, or different queues). It runs on Sql Server and MySql... Source: almost 2 years ago
I used to just use hangfire.io in .net and worked wonderfully for any long running tasks or schedules. Had a great queuing system, UI to know if they failed , etc. That's how I'd send emails, pdf's, and other things along that nature. Then if it were more just a db related operation, just setup a schedule in mssql job service. Source: almost 2 years ago
You can use hangfire for cronjob, to run at a time in future, you can use Hangfire.Schedule(jobid, datetime). Source: about 2 years ago
So another option is to use something like https://hangfire.io to pull the jobs and process them? Source: about 2 years ago
I've got a fairly large process I need to handle in background on my .net core web app so I've exported it to a background task using Hangfire. Source: almost 3 years ago
Dask - Dask natively scales Python Dask provides advanced parallelism for analytics, enabling performance at scale for the tools you love
Sidekiq - Sidekiq is a simple, efficient framework for background job processing in Ruby
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
RabbitMQ - RabbitMQ is an open source message broker software.
Kafka - Apache Kafka is publish-subscribe messaging rethought as a distributed commit log.
Enqueue It - Easy and scalable solution for manage and execute background tasks seamlessly in .NET applications. It allows you to schedule, queue, and process your jobs and microservices efficiently.
