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FastField VS AWS Data Wrangler

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

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

FastField logo FastField

Mobile forms solution

AWS Data Wrangler logo AWS Data Wrangler

Pandas on AWS. Contribute to awslabs/aws-data-wrangler development by creating an account on GitHub.
  • FastField Landing page
    Landing page //
    2023-10-01
  • AWS Data Wrangler Landing page
    Landing page //
    2023-08-29

FastField videos

+ Add

FastField Mobile Forms - Building Your First Form

More videos:

  • Review - Arborchem Digital Forms Training - FastField Mobile Forms
  • Review - Arborchem Digital Forms Training Brief - FastField Mobile Forms

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 FastField and AWS Data Wrangler)

FastField

AWS Data Wrangler

Forms And Surveys
100 100%
Forms And Surveys
0% 0
Databases
0 0%
Databases
100% 100
Form Builder
100 100%
Form Builder
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100

User comments

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

FastField mentions (0)

We have not tracked any mentions of FastField yet. Tracking of FastField 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 FastField and AWS Data Wrangler, you can also consider the following products

nSpek - nSpek, build forms and mobile checklists without coding or developers. Canadian Digital Inspections and Form Builder Provider for Heavy Industries such as Mining and Construction.

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

ProntoForms - ProntoForms is a mobile business solutions application, converting paper forms onto any tablet or mobile device.

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

Google Forms - Simple web forms from Google.

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

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