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Kafka VS AWS Data Wrangler

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

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Kafka logo Kafka

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

AWS Data Wrangler logo AWS Data Wrangler

Pandas on AWS. Contribute to awslabs/aws-data-wrangler development by creating an account on GitHub.
  • Kafka Landing page
    Landing page //
    2022-12-24
  • AWS Data Wrangler Landing page
    Landing page //
    2023-08-29

Kafka videos

+ Add

Franz Kafka - In The Penal Colony BOOK REVIEW

More videos:

  • Review - LITERATURE: Franz Kafka
  • Review - The Trial (Franz Kafka) – Thug Notes Summary & Analysis

AWS Data Wrangler videos

+ Add

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

Category Popularity

0-100% (relative to Kafka and AWS Data Wrangler)

Kafka

AWS Data Wrangler

Log Management
100 100%
Log Management
0% 0
Databases
0 0%
Databases
100% 100
Data Integration
100 100%
Data Integration
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100

User comments

Share your experience with using Kafka and AWS Data Wrangler. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Kafka and AWS Data Wrangler

Kafka Reviews

6 Best Kafka Alternatives: 2022’s Must-know List
In this article, you learned about Kafka, its features, and some top Kafka Alternatives. Even though Kafka is widely used, the technology segment has advanced to the point where other options can overshadow Kafka’s cons. There are various options available for choosing a stream processing solution. Organizations are increasingly embracing event-driven architectures powered...
Source: hevodata.com

AWS Data Wrangler Reviews

We have no reviews of AWS Data Wrangler yet.
Be the first one to post

Social recommendations and mentions

Based on our record, AWS Data Wrangler seems to be more popular. It has been mentiond 4 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.

Kafka mentions (0)

We have not tracked any mentions of Kafka yet. Tracking of Kafka recommendations started around Mar 2021.

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: 6 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

What are some alternatives?

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

Sentry.io - From error tracking to performance monitoring, developers can see what actually matters, solve quicker, and learn continuously about their applications - from the frontend to the backend.

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

Raygun - Raygun gives developers meaningful insights into problems affecting their applications. Discover issues - Understand the problem - Fix things faster.

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.

Serverspec - Serverspec.github.com :

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