Software Alternatives & Reviews

Google Cloud Dataflow VS Segment

Compare Google Cloud Dataflow VS Segment 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.

Segment logo Segment

We make customer data simple.
  • Google Cloud Dataflow Landing page
    Landing page //
    2023-10-03
  • Segment Landing page
    Landing page //
    2023-10-08

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

Segment videos

What is Segment? How to Implement and Use It.

More videos:

  • Review - What's In My Bag: Chrome Industries MXD Segment

Category Popularity

0-100% (relative to Google Cloud Dataflow and Segment)
Big Data
100 100%
0% 0
Analytics
0 0%
100% 100
Data Dashboard
100 100%
0% 0
Data Integration
0 0%
100% 100

User comments

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

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

Segment Reviews

Top 10 Fivetran Alternatives - Listing the best ETL tools
Acquired by Twilio in 2020, Segment is a Customer Data Platform (CDP) that offers real-time data connectivity and efficient data. Segment's core focus is gathering customer data through event tracking. It has unique features that allow you to segment your customers, and create personas and audiences for better targeting.
Source: weld.app
Top ETL Tools For 2021...And The Case For Saying "No" To ETL
Segment’s API has native library sources for every language, and helps record customer data from sources such as websites, mobile, apps or servers. It helps optimize analytics by piping raw customer data into data warehouses for further exploration and advanced analysis.
Source: blog.panoply.io

Social recommendations and mentions

Based on our record, Segment should be more popular than Google Cloud Dataflow. It has been mentiond 40 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 / almost 2 years ago
View more

Segment mentions (40)

  • A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
    Segment.com — Hub to translate and route events to other third-party services. 100,000 events/month free. - Source: dev.to / 3 months ago
  • We made a tool to detect big signups to your SaaS app. Want to be a beta tester?
    Our app – Upollo – connects with your app event data (like Segment) and payment data (like Stripe) to analyze your users and instantly figure out if someone is an important player in your industry. We also help you convert more users, reduce churn, and expand single seats to teams within a company. We're SOC 2 certified and we take data security very seriously. Source: 5 months ago
  • Ledger Live has massive user tracking embedded in it. Here's a fork with all 3rd party trackers removed. See link in comments for context
    Api.segment.io is an API for Twilio for data collection. Source: 5 months ago
  • Best Workflow Automation Software to Streamline Your Development Process
    Twilio Segment caters more to marketing and analytics use cases, offering a customer data platform (CDP) to manage customer data across various channels. Twilio Segment provides comprehensive customer data management by taking complex data from your applications, transforming it into a unified source, and subsequently linking it to various platforms. While its primary focus is on marketing, it can be integrated... - Source: dev.to / 8 months ago
  • What is the most overpriced marketing tech on the market?
    I am working with our marketing team to implement segment.com into the rest of our technology stack. However I personally think that segment is EXTREMELY overpriced (at least for what we use it for). Source: 11 months ago
View more

What are some alternatives?

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

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

Google Analytics - Improve your website to increase conversions, improve the user experience, and make more money using Google Analytics. Measure, understand and quantify engagement on your site with customized and in-depth reports.

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

Zapier - Connect the apps you use everyday to automate your work and be more productive. 1000+ apps and easy integrations - get started in minutes.

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

Mixpanel - Mixpanel is the most advanced analytics platform in the world for mobile & web.