Software Alternatives, Accelerators & Startups

Google Cloud Dataflow VS AWS Elastic Beanstalk

Compare Google Cloud Dataflow VS AWS Elastic Beanstalk and see what are their differences

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.

AWS Elastic Beanstalk logo AWS Elastic Beanstalk

Quickly deploy and manage applications in the AWS cloud.
  • Google Cloud Dataflow Landing page
    Landing page //
    2023-10-03
  • AWS Elastic Beanstalk Landing page
    Landing page //
    2022-01-30

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

AWS Elastic Beanstalk videos

AWS Elastic Beanstalk Tutorial | What Is AWS Elastic Beanstalk? | AWS Tutorial | Simplilearn

Category Popularity

0-100% (relative to Google Cloud Dataflow and AWS Elastic Beanstalk)
Big Data
100 100%
0% 0
Cloud Computing
0 0%
100% 100
Data Dashboard
100 100%
0% 0
Cloud Hosting
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Google Cloud Dataflow and AWS Elastic Beanstalk

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

AWS Elastic Beanstalk Reviews

We have no reviews of AWS Elastic Beanstalk yet.
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Social recommendations and mentions

Based on our record, AWS Elastic Beanstalk should be more popular than Google Cloud Dataflow. It has been mentiond 37 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.

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 / about 2 years ago
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AWS Elastic Beanstalk mentions (37)

  • Ask HN: How are you hosting multiple small apps?
    Based on the fact that your ideal is to have a similar experience to heroku than managing your own server setting up reverse proxies take a look at these options: 1) https://dokku.com - lets you turn your light sail instance basically into heroku 2) https://render.com 3) https://fly.io above is not what I do but would be the options I would pursue if I understand your preference and requirement correctly. - Source: Hacker News / 9 months ago
  • Deploying a Django Application to Elastic Beanstalk
    Elastic Beanstalk (EB) is a cloud deployment service provided by Amazon Web Services. It facilitates the deployment and scaling of web applications and services by automating the creation of individual infrastructure components, including EC2 instances, auto-scaling, ELBs, security groups, and other infrastructure components. Using the AWS Management Console and command-line interface, deployment with EB is quick... - Source: dev.to / 12 months ago
  • Fortifying Your Three-Tier Application: Proactive Measures for Strengthening Your Application Security
    This Terraform code snippet can be used to deploy an AWS Elastic Beanstalk environment:. - Source: dev.to / about 1 year ago
  • So many options, getting confused
    K8s isn't going to play well with your deployment pattern without some advanced cluster management. Honestly it seems like you would be better serviced with something like https://aws.amazon.com/elasticbeanstalk/ . Source: about 1 year ago
  • What will Komi's resume look like?
    If your project is a bit more complicated using next.js or react.js or angular.js, you may find some free Platfrom-as-a-Service%20is%20a%20complete%20cloud%20environment,middleware%2C%20tools%2C%20and%20more.). I have seen some of my peers using free PaaS like Heroku, Vercel and I have no experience in using PaaS but I will recommend you to use PaaS from either of the three 1. Google Cloud's Google App Engine 2.... Source: about 1 year ago
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What are some alternatives?

When comparing Google Cloud Dataflow and AWS Elastic Beanstalk, you can also consider the following products

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

Google App Engine - A powerful platform to build web and mobile apps that scale automatically.

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

AWS Lambda - Automatic, event-driven compute service

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

Now Platform - Get native platform intelligence, so you can predict, prioritize, and proactively manage the work that matters most with the NOW Platform from ServiceNow.