Software Alternatives, Accelerators & Startups

Google Cloud Dataflow VS Kubernetes

Compare Google Cloud Dataflow VS Kubernetes 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.

Kubernetes logo Kubernetes

Kubernetes is an open source orchestration system for Docker containers
  • Google Cloud Dataflow Landing page
    Landing page //
    2023-10-03
  • Kubernetes Landing page
    Landing page //
    2023-07-24

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

Kubernetes videos

Kubernetes Documentation

More videos:

  • Review - Kubernetes in 5 mins
  • Review - Module 1: Istio - Kubernetes - Getting Started - Installation and Sample Application Review
  • Review - Deploying WordPress on Kubernetes, Step-by-Step

Category Popularity

0-100% (relative to Google Cloud Dataflow and Kubernetes)
Big Data
100 100%
0% 0
Developer Tools
0 0%
100% 100
Data Dashboard
100 100%
0% 0
DevOps Tools
0 0%
100% 100

User comments

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

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

Kubernetes Reviews

The Top 7 Kubernetes Alternatives for Container Orchestration
Rancher RKE is an interface to the command line for Rancher Kubernetes Engine (RKE) and OpenShift. Both are software tools employed to deploy Kubernetes, an open source project that manages containers on several hosts.
Kubernetes Alternatives 2023: Top 8 Container Orchestration Tools
Azure Kubernetes Service is a container orchestration platform that offers secure serverless Kubernetes. AKS helps to manage Kubernetes clusters and makes deploying containerized applications so much easier. In addition to that, it provides automatic configuration of all Kubernetes nodes and master.
Top 12 Kubernetes Alternatives to Choose From in 2023
Google Kubernetes Engine (GKE) is a prominent choice for a Kubernetes alternative. It is provided and managed by Google Cloud, which offers fully managed Kubernetes services.
Source: humalect.com
Docker Swarm vs Kubernetes: how to choose a container orchestration tool
In this article, we explored the two primary orchestrators of the container world, Kubernetes and Docker Swarm. Docker Swarm is a lightweight, easy-to-use orchestration tool with limited offerings compared to Kubernetes. In contrast, Kubernetes is complex but powerful and provides self-healing, auto-scaling capabilities out of the box. K3s, a lightweight form of Kubernetes...
Source: circleci.com
Docker Alternatives
An open-source code, Rancher is another one among the list of Docker alternatives that is built to provide organizations with everything they need. This software combines the environments required to adopt and run containers in production. A rancher is built on Kubernetes. This tool helps the DevOps team by making it easier to testing, deploying and managing the...
Source: www.educba.com

Social recommendations and mentions

Based on our record, Kubernetes seems to be a lot more popular than Google Cloud Dataflow. While we know about 293 links to Kubernetes, 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 / about 2 years ago
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Kubernetes mentions (293)

  • Automating the Building of VMs with Packer
    Learning new tools like Kubernetes and explore different ways of installing it, experimenting with various plugins, etc. If these tools are installed natively on the host and something goes wrong, it might require resetting the host. - Source: dev.to / about 14 hours ago
  • Getting my feet wet with Kubernetes
    Recently, I’ve spent some time playing around with Kubernetes (K8s). Having never used it before, I gave it my humble first try. I used it as part of a project where I wanted to use self host some tools on a VPS and write some server code for some life automations and potentially a blog in the future. You can find the Github Repo for the project at the time of writing for it here. - Source: dev.to / 6 days ago
  • Awesome List
    Kubernetes - An open-source system for automating deployment, scaling, and management of containerized applications. Kubernetes Documentation - Official documentation. - Source: dev.to / 6 days ago
  • Data Mesh: An Executive Guide to Modern Data Architecture in Manufacturing
    A manufacturing company might leverage a combination of Kafka for real-time data streaming, Kubernetes for container orchestration, and dbt for data transformations. They could use Dataplex for unified data management and security across domains. This technology stack would enable the Production Data team to monitor and analyze production metrics in real-time, the Supply Chain Data team to manage and optimize... - Source: dev.to / 8 days ago
  • Deploy Postgres on any Kubernetes using CloudNativePG
    The best method to counter these problems is CloudNativePG operator, this operator manages PostgreSQL workloads on any supported Kubernetes cluster. - Source: dev.to / 8 days ago
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What are some alternatives?

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

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

Rancher - Open Source Platform for Running a Private Container Service

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

Docker - Docker is an open platform that enables developers and system administrators to create distributed applications.

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

Helm.sh - The Kubernetes Package Manager