Software Alternatives, Accelerators & Startups

Google Cloud Dataflow VS Docker Swarm

Compare Google Cloud Dataflow VS Docker Swarm 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.

Docker Swarm logo Docker Swarm

Native clustering for Docker. Turn a pool of Docker hosts into a single, virtual host.
  • Google Cloud Dataflow Landing page
    Landing page //
    2023-10-03
  • Docker Swarm Landing page
    Landing page //
    2022-11-01

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

Docker Swarm videos

Kubernetes vs Docker Swarm | Container Orchestration War | Kubernetes Training | Edureka

More videos:

  • Review - Roberto Fuentes – NodeJS with Docker Swarm

Category Popularity

0-100% (relative to Google Cloud Dataflow and Docker Swarm)
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 Docker Swarm. 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 Docker Swarm

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

Docker Swarm Reviews

Top 12 Kubernetes Alternatives to Choose From in 2023
With Docker Swarm, you can create and manage a cluster of Docker nodes, enabling the deployment and scaling of containerized applications across a distributed environment.
Source: humalect.com
11 Best Rancher Alternatives Multi Cluster Orchestration Platform
Next, we have Docker Swarm on our alternatives to rancher list. Docker Swarm is a lightweight container orchestration tool that lets you create, deploy and manage containerized applications. It is even one of the most popular container orchestration tools after Kubernetes.
Docker Swarm vs Kubernetes: how to choose a container orchestration tool
Docker Swarm is an open-source container orchestration platform built and maintained by Docker. Under the hood, Docker Swarm converts multiple Docker instances into a single virtual host. A Docker Swarm cluster generally contains three items:
Source: circleci.com

Social recommendations and mentions

Based on our record, Google Cloud Dataflow should be more popular than Docker Swarm. It has been mentiond 14 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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Docker Swarm mentions (2)

  • K8s vs Docker Swarm
    So the thing is support for Swarm was delegated to Mirantis, https://www.mirantis.com/blog/mirantis-will-continue-to-support-and-develop-docker-swarm/ since it was delegated very little was done to move forward swarm _> https://github.com/moby/swarmkit/commits/master , docker swarm itself (docker the company) is deprecated https://github.com/docker-archive/classicswarm . I think because there's no way to... Source: about 1 year ago
  • #30DaysOfAppwrite: Docker Swarm Integration
    Docker Swarm is a container orchestration tool built right into the Docker CLI which allows us to deploy our Docker services to a cluster of hosts, instead of just the one allowed with Docker Compose. This is known as Swarm Mode, not to be confused with the classic Docker Swarm that is no longer being developed as a standalone product. Docker Swarm works great with Appwrite as it builds upon the Compose... - Source: dev.to / about 3 years ago

What are some alternatives?

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

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

Kubernetes - Kubernetes is an open source orchestration system for Docker containers

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

Rancher - Open Source Platform for Running a Private Container Service

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

Docker Compose - Define and run multi-container applications with Docker