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AWS Data Wrangler VS Sidekiq

Compare AWS Data Wrangler VS Sidekiq and see what are their differences

AWS Data Wrangler logo AWS Data Wrangler

Pandas on AWS. Contribute to awslabs/aws-data-wrangler development by creating an account on GitHub.

Sidekiq logo Sidekiq

Sidekiq is a simple, efficient framework for background job processing in Ruby
  • AWS Data Wrangler Landing page
    Landing page //
    2023-08-29
  • Sidekiq Landing page
    Landing page //
    2023-04-28

AWS Data Wrangler videos

AWS Tutorials - Introduction to AWS Data Wrangler

More videos:

  • Review - AWS Data Wrangler: Get Glue Catalog Table Description
  • Review - AWS Data Wrangler: Write Parquet to AWS S3

Sidekiq videos

Sidekiq Review: Influencer Marketing Software (Platform)

More videos:

  • Review - Mike Perham, Creator of Sidekiq
  • Review - RailsConf 2015 - Processes and Threads - Resque vs. Sidekiq

Category Popularity

0-100% (relative to AWS Data Wrangler and Sidekiq)
Databases
100 100%
0% 0
Ruby On Rails
0 0%
100% 100
Data Science And Machine Learning
Data Integration
0 0%
100% 100

User comments

Share your experience with using AWS Data Wrangler and Sidekiq. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Sidekiq should be more popular than AWS Data Wrangler. It has been mentiond 21 times since March 2021. 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.

AWS Data Wrangler mentions (4)

  • Read files from s3 using Pandas/s3fs or AWS Data Wrangler?
    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: 5 months ago
  • Redshift API vs. other ways to connect?
    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
  • Parquet files
    AWS data wrangler works well. it's a wrapper on pandas: https://github.com/awslabs/aws-data-wrangler. Source: over 2 years ago
  • Go+: Go designed for data science
    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

Sidekiq mentions (21)

  • Hanami and HTMX - progress bar
    Hi there! I want to show off a little feature I made using hanami, htmx and a little bit of redis + sidekiq. - Source: dev.to / 10 days ago
  • 3 one-person million dollar online businesses
    Sidekiq https://sidekiq.org/: This one started as an open source project, once it got enough traction, the developer made a premium version of it, and makes money by selling licenses to businesses. Source: 6 months ago
  • We built the fastest CI in the world. It failed
    > I'm not sure feature withholding has traditionally worked out well in the developer space. I think it's worked out well for Sidekiq (https://sidekiq.org). I really like their model of layering valuable features between the OSS / Pro / Enterprise licenses. - Source: Hacker News / 8 months ago
  • Organize Business Logic in Your Ruby on Rails Application
    The code above isn't idempotent. If you run it twice, it will create two copies, which is probably not what you intended. Why is this important? Because most backend job processors like Sidekiq don't make any guarantees that your jobs will run exactly once. - Source: dev.to / about 1 year ago
  • An M1 for Curl
    Relevant Patio11 comment from 2016: > We don't donate to OSS software which we use, because we're legally not allowed to. > I routinely send key projects, particularly smaller projects, a request to quote me a commercial license of their project, with the explanation that I would accept a quote of $1,000 and that the commercial license can be their existing OSS license plus an invoice. My books suggest we've spent... - Source: Hacker News / over 1 year ago
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What are some alternatives?

When comparing AWS Data Wrangler and Sidekiq, you can also consider the following products

Dask - Dask natively scales Python Dask provides advanced parallelism for analytics, enabling performance at scale for the tools you love

Hangfire - An easy way to perform background processing in .NET and .NET Core applications.

Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

Resque - Resque is a Redis-backed Ruby library for creating background jobs, placing them on multiple queues, and processing them later.

Kafka - Apache Kafka is publish-subscribe messaging rethought as a distributed commit log.

delayed_job - Database based asynchronous priority queue system -- Extracted from Shopify - collectiveidea/delayed_job