Heroku VS Google Cloud Dataflow

Heroku Reviews

1. mark-mercer    

   over 3 years ago
   Useful Cloud Platform

   Great service to build, run and manage applications entirely in the cloud!

   🏁 Competitors: Amazon AWS, Dokku on Digital Ocean, Firebase

   👍 Pros:    Easy user interface|Good customer service|Multi-language cloud application platform

   👎 Cons:    Limitation with some addons|Low network performance
2. jamestelford    

   Full Stack Developer at OutDev | about 4 years ago
   🏁 Competitors: Docker, Amazon AWS

   👍 Pros:    Powerful development environments|Great value for the money|Great customer support|Paas

Google Cloud Dataflow Reviews

Heroku mentions (71)

• How to keep an HTTP connection alive for 9 hours

  The app is deployed to Heroku and when it came time to switch the mode to email-on-account-creation mode, it was a very simple environment change:. - Source: dev.to / 6 months ago

• How to Process Scheduled Queue Jobs in Node.js with BullMQ and Redis on Heroku

  Heroku is a cloud platform that makes it easy to deploy and scale web applications. It provides a number of features that make it ideal for deploying background job applications, including:. - Source: dev.to / 9 months ago

• I made a Bot.. How do I use it?

  Once you've created it you can host it locally (this means leaving the program running on your computer) or host it through a service online. I haven't personally tried this yet, but I believe you can use a site like heroku.com or other similar services. Source: 10 months ago

• Making AJAX Applications Crawlable? How to build a simple web service on Google App Engine to produce HTML Snapshots?

  I have my app hosted on Heroku, who (to my knowledge) are unable to offer a solution for running a Headless (GUI-less) Browser - such as HTMLUnit - for generating HTML Snapshots for Googlebot to index my AJAX content. Source: 11 months ago

• Engineers who have a personal website/blog, what are you using to host/generate it?

  Over the years, I’ve gone from Time Warner’s Road Runner, to Tumblr, to GitHub Pages, to Godaddy hosted WordPress. Though, after Godaddy messed up a migration, I switched to self-hosting on Heroku. I wrote my blog engine using Crystal. Reference: ejstembler.com. Source: about 1 year ago

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: over 1 year 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: over 1 year 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 / almost 2 years ago