amazon-s3-find-and-forget VS awesome-aws

Compare amazon-s3-find-and-forget vs awesome-aws and see what are their differences.

amazon-s3-find-and-forget

Amazon S3 Find and Forget is a solution to handle data erasure requests from data lakes stored on Amazon S3, for example, pursuant to the European General Data Protection Regulation (GDPR) (by awslabs)

awesome-aws

A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources. Featuring the Fiery Meter of AWSome. (by donnemartin)
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amazon-s3-find-and-forget awesome-aws
3 2
232 12,165
0.9% -
7.3 2.6
8 days ago about 2 months ago
Python Python
Apache License 2.0 GNU General Public License v3.0 or later
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.

amazon-s3-find-and-forget

Posts with mentions or reviews of amazon-s3-find-and-forget. We have used some of these posts to build our list of alternatives and similar projects.
  • Deleting particular data from S3 External Tables
    1 project | /r/dataengineering | 31 Oct 2022
    Take a look at this: https://github.com/awslabs/amazon-s3-find-and-forget We use it for GDPR compliance; it will open a file, delete a row and pack it back. It will modify the file so watch out if you are using Glue job bookmarks. Because you are using external tables, the manifest file will also have to be updated with a proper lenght for the new, updated file. If you have hundreds of tables and thousands of files, and you need to do this on a regular basis this would be the scalable solution, but if you have few files honestly I would do it manually
  • Update S3 Files
    1 project | /r/aws | 27 Jan 2022
    Have a look at S3 Find and Forget
  • How to handle GDPR requests for data stored in S3 ?
    1 project | /r/dataengineering | 22 Nov 2021
    S3 Find and Forget is probably worth looking into, even if just to get ideas on how to implement a similar solution for yourself

awesome-aws

Posts with mentions or reviews of awesome-aws. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-04.

What are some alternatives?

When comparing amazon-s3-find-and-forget and awesome-aws you can also consider the following projects:

DataEngineeringProject - Example end to end data engineering project.

web-client-for-aws-transfer-family - This solution creates a web portal for your customers to access your corporate Secure Shell File Transfer Protocol (SFTP) environment. It combines the benefits of using AWS Transfer for SFTP with an intuitive web browser interface for your non-technical users.

isp-data-pollution - ISP Data Pollution to Protect Private Browsing History with Obfuscation

aws-cli - Universal Command Line Interface for Amazon Web Services

data-toolset - Upgrade from avro-tools and parquet-tools jars to a more user-friendly Python package.

aws-sso-util - Smooth out the rough edges of AWS SSO (temporarily, until AWS makes it better).

s3-credentials - A tool for creating credentials for accessing S3 buckets

PMapper - A tool for quickly evaluating IAM permissions in AWS.

cookiecutter-django-ecs-github - Complete Walkthrough: Blue/Green Deployment to AWS ECS using Cookiecutter-Django using GitHub actions

streamalert - StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data from any environment, using datasources and alerting logic you define.

awesome-kubernetes - A curated list for awesome kubernetes sources :ship::tada:

taskcat - Test all the CloudFormation things! (with TaskCat)