Software Alternatives, Accelerators & Startups

Snapdrop VS Google Cloud Dataflow

Compare Snapdrop VS Google Cloud Dataflow and see what are their differences

Snapdrop logo Snapdrop

An open source alternative to Alternative to AirDrop.

Google Cloud Dataflow logo Google Cloud Dataflow

Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.
  • Snapdrop Landing page
    Landing page //
    2019-10-25
  • Google Cloud Dataflow Landing page
    Landing page //
    2023-10-03

Snapdrop videos

Snapdrop finally let’s IOS & Android users work together seamlessly.

More videos:

  • Review - Forget Airdrop, Transfer Files using Snapdrop
  • Tutorial - Snapdrop: Best Cross Platform AirDrop Alternative! - How to Share Files Between Operating Systems!

Google Cloud Dataflow videos

Introduction to Google Cloud Dataflow - Course Introduction

More videos:

  • Review - Serverless data processing with Google Cloud Dataflow (Google Cloud Next '17)
  • Review - Apache Beam and Google Cloud Dataflow

Category Popularity

0-100% (relative to Snapdrop and Google Cloud Dataflow)
File Sharing
100 100%
0% 0
Big Data
0 0%
100% 100
Cloud Storage
100 100%
0% 0
Data Dashboard
0 0%
100% 100

User comments

Share your experience with using Snapdrop and Google Cloud Dataflow. 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 Snapdrop and Google Cloud Dataflow

Snapdrop Reviews

  1. A Complete waste of time from a 4 decade mac pro user

    Takes forever to send even small video files with high speed internet. Horrible documentation for transferring instructions. No option in the app menu to choose a destination folder. There's no way to compress all of your videos on an android to send to the Mac, even though that is suggested in their "features". And not 1 single video could I find in 2 hours of google searches that answered these questions. For a company touting such "ease of use", as a 40 year mac user, this was another waste of time app. If the company would like to contact me and answer these questions, if it is indeed an "easy, reliable app", I will gladly help them make a video that actually walks people through the problems I have encountered.

  2. Excellent way to share a folder with multiple files to another computer

    SnapDrop does an excellent job in sharing multiple files to another computer. Just zip/compress a folder with multiple files and select that zipped folder to send to the other computer or mobile device.

    🏁 Competitors: AirDrop by Apple

Google Cloud Dataflow Reviews

Top 8 Apache Airflow Alternatives in 2024
Google Cloud Dataflow is highly focused on real-time streaming data and batch data processing from web resources, IoT devices, etc. Data gets cleansed and filtered as Dataflow implements Apache Beam to simplify large-scale data processing. Such prepared data is ready for analysis for Google BigQuery or other analytics tools for prediction, personalization, and other purposes.
Source: blog.skyvia.com

Social recommendations and mentions

Based on our record, Snapdrop seems to be a lot more popular than Google Cloud Dataflow. While we know about 228 links to Snapdrop, we've tracked only 14 mentions of Google Cloud Dataflow. 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.

Snapdrop mentions (228)

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Google Cloud Dataflow mentions (14)

  • How do you implement CDC in your organization
    Imo if you are using the cloud and not doing anything particularly fancy the native tooling is good enough. For AWS that is DMS (for RDBMS) and Kinesis/Lamba (for streams). Google has Data Fusion and Dataflow . Azure hasData Factory if you are unfortunate enough to have to use SQL Server or Azure. Imo the vendored tools and open source tools are more useful when you need to ingest data from SaaS platforms, and... Source: over 1 year ago
  • Here’s a playlist of 7 hours of music I use to focus when I’m coding/developing. Post yours as well if you also have one!
    This sub is for Apache Beam and Google Cloud Dataflow as the sidebar suggests. Source: over 1 year ago
  • How are view/listen counts rolled up on something like Spotify/YouTube?
    I am pretty sure they are using pub/sub with probably a Dataflow pipeline to process all that data. Source: almost 2 years ago
  • Best way to export several GCP datasets to AWS?
    You can run a Dataflow job that copies the data directly from BQ into S3, though you'll have to run a job per table. This can be somewhat expensive to do. Source: almost 2 years ago
  • Why we don’t use Spark
    It was clear we needed something that was built specifically for our big-data SaaS requirements. Dataflow was our first idea, as the service is fully managed, highly scalable, fairly reliable and has a unified model for streaming & batch workloads. Sadly, the cost of this service was quite large. Secondly, at that moment in time, the service only accepted Java implementations, of which we had little knowledge... - Source: dev.to / about 2 years ago
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What are some alternatives?

When comparing Snapdrop and Google Cloud Dataflow, you can also consider the following products

ShareDrop - HTML5 clone of Apple's AirDrop - easy P2P file transfer powered by WebRTC

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

Syncthing - Syncthing replaces proprietary sync and cloud services with something open, trustworthy and...

Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.

Send Anywhere - Send whatever you want, wherever you want

Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?