Software Alternatives & Reviews

Google Cloud Dataflow VS ExpressJS

Compare Google Cloud Dataflow VS ExpressJS 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.

ExpressJS logo ExpressJS

Sinatra inspired web development framework for node.js -- insanely fast, flexible, and simple
  • Google Cloud Dataflow Landing page
    Landing page //
    2023-10-03
  • ExpressJS Landing page
    Landing page //
    2021-10-14

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

ExpressJS videos

No ExpressJS videos yet. You could help us improve this page by suggesting one.

+ Add video

Category Popularity

0-100% (relative to Google Cloud Dataflow and ExpressJS)
Big Data
100 100%
0% 0
JavaScript Framework
0 0%
100% 100
Data Dashboard
100 100%
0% 0
Developer Tools
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 ExpressJS

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

ExpressJS Reviews

The 20 Best Laravel Alternatives for Web Development
Express.js — or Express for the cool cats — is Node.js’s minimalist wingman. It’s the train tracks for your web app, setting the path, defining the stops, but letting you drive the engine.
Top 9 best Frameworks for web development
The best frameworks for web development include React, Angular, Vue.js, Django, Spring, Laravel, Ruby on Rails, Flask and Express.js. Each of these frameworks has its own advantages and distinctive features, so it is important to choose the framework that best suits the needs of your project.
Source: www.kiwop.com
9 Best JavaScript Frameworks to Use in 2023
Additionally, Express.js v4 now comes with built-in middleware for handling AJAX requests from the client side, making it even easier to get started without having to worry about 3rd party libraries. Express.js is a great tool for quickly building out web applications and APIs in Node.js.
Source: ninetailed.io
JavaScript: What Are The Most Used Frameworks For This Language?
Express.JS is a popular open-source web application framework for Node.JS, which is a server-side JavaScript runtime environment. Express.JS provides a simple, flexible and scalable way to build web applications and APIs using Node.JS. It is known for its minimalist and unimposing approach, which means it provides a basic set of features and tools but allows developers to...
Source: www.bocasay.com
20 Best JavaScript Frameworks For 2023
TJ Holowaychuk built Express in 2010 before being acquired by IBM (StrongLoop) in 2015. Node.js Foundation currently maintains it. The key reason Express is one of the best JavaScript frameworks is its rapid server-side coding. Complex tasks that would take hours to code using pure Node.js can be resolved in a few minutes, thanks to Express. On top of that, Express offers a...

Social recommendations and mentions

Based on our record, ExpressJS seems to be a lot more popular than Google Cloud Dataflow. While we know about 425 links to ExpressJS, 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.

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
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ExpressJS mentions (425)

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What are some alternatives?

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

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

Node.js - Node.js is a platform built on Chrome's JavaScript runtime for easily building fast, scalable network applications

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

Ruby on Rails - Ruby on Rails is an open source full-stack web application framework for the Ruby programming...

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

Laravel - A PHP Framework For Web Artisans