Software Alternatives & Reviews

Google Cloud Dataflow VS Observable

Compare Google Cloud Dataflow VS Observable 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.

Observable logo Observable

Interactive code examples/posts
  • Google Cloud Dataflow Landing page
    Landing page //
    2023-10-03
  • Observable Landing page
    Landing page //
    2023-10-09

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

Observable videos

Observable Overview

More videos:

  • Review - observablehq.com review observable hq data analysis
  • Review - Hands-on Data Visualization with Observable Plot

Category Popularity

0-100% (relative to Google Cloud Dataflow and Observable)
Big Data
100 100%
0% 0
Data Visualization
0 0%
100% 100
Data Dashboard
53 53%
47% 47
Data Warehousing
100 100%
0% 0

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 Observable

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

Observable Reviews

Top 10 Grafana Alternatives in 2024
Observable is a Grafana alternative that enables users to visualize data via charts and dashboards using code.
Source: middleware.io
Embedded analytics in B2B SaaS: A comparison
A few options were disregarded from the start due to a hefty price tag, these were Looker, Tableau, Power BI, GoodData. A few options like Trevor.io, Preset, Observable were disregarded as they did not seem to fit our criteria (based on the evaluation matrix).
Source: medium.com

Social recommendations and mentions

Based on our record, Observable seems to be a lot more popular than Google Cloud Dataflow. While we know about 284 links to Observable, 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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Observable mentions (284)

  • A feature-rich front-end drag-and-drop component library
    Maybe I'm easy to impress, but I always stop and play around with the nested tree example when I come across Sortable. It works so flawlessly, and feels very tuned to mobile dnd. It even works to arrange (and reflow) inline spans in a paragraph! I have yet to come across this functionality in a text editor.. [0]: https://observablehq.com/@dleeftink/sortable-playground. - Source: Hacker News / 4 days ago
  • Parquet-WASM: Rust-based WebAssembly bindings to read and write Parquet data
    Arrow JS is just ArrayBuffers underneath. You do want to amortize some operations to avoid unnecessary conversions. I.e. Arrow JS stores strings as UTF-8, but native JS strings are UTF-16 I believe. Arrow is especially powerful across the WASM <--> JS boundary! In fact, I wrote a library to interpret Arrow from Wasm memory into JS without any copies [0]. (Motivating blog post [1]) [0]:... - Source: Hacker News / 6 days ago
  • A flat map with the least error possible: The Gott-Goldberg-Vanderbei projection
    Here’s the D3 implementation (which is just an interrupted azimuthal equidistant projection): https://observablehq.com/@d3/azimuthal-equidistant-hemispheres. - Source: Hacker News / 6 days ago
  • Hardest Problem in Computer Science: Centering Things
    I made a quick tool to apply the trick he suggests at the end of the article: https://observablehq.com/@gampleman/font-centering-tool. - Source: Hacker News / 11 days ago
  • Zooming User Interface (ZUI)
    There is maybe some room for design too (Figma), but there are many times I wish it DIDN'T do that and encouraged better frame/file organization instead. ------- It can also be useful for some visualizations, like taxonomy: https://itol.embl.de/itol.cgi or https://www.onezoom.org/life.html "Drill down for details" like in disk space analysis: https://www.youtube.com/watch?v=BKClylmlv3w&t=1s (or similar one in D3:... - Source: Hacker News / 13 days ago
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What are some alternatives?

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

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

RunKit - RunKit notebooks are interactive javascript playgrounds connected to a complete node environment right in your browser. Every npm module pre-installed.

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

D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.

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

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.