Software Alternatives, Accelerators & Startups

Google Cloud Dataflow VS 15Five

Compare Google Cloud Dataflow VS 15Five 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.

15Five logo 15Five

15Five software elevates the performance and engagement of employees by consistently asking questions and starting the right conversations.
  • Google Cloud Dataflow Landing page
    Landing page //
    2023-10-03
  • 15Five Landing page
    Landing page //
    2023-03-17

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

15Five videos

How 15Five Soothed the Annual Review Grinch

More videos:

  • Review - 15Five Continuous Performance Management Software
  • Review - 15Five: Employee Engagement Software Overview

Category Popularity

0-100% (relative to Google Cloud Dataflow and 15Five)
Big Data
100 100%
0% 0
HR
0 0%
100% 100
Data Dashboard
100 100%
0% 0
HR 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 15Five

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

15Five Reviews

We have no reviews of 15Five yet.
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Social recommendations and mentions

Based on our record, Google Cloud Dataflow should be more popular than 15Five. 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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15Five mentions (2)

  • Ask HN: Who is hiring? (July 2021)
    15Five | Remote: US, Poland, & Ukraine | Full-time | https://15five.com Multiple engineering and design roles, all fully remote: - Remote: Poland or Ukraine - Backend Engineer: https://jobs.lever.co/15five/bf43681a-74b7-493e-a8c8-9b568af10c04 - Remote: Poland or Ukraine - Android Mobile Engineer: https://jobs.lever.co/15five/9d42917c-c5ed-483e-b807-3243a3617377 - US-based only, remote - Senior Quality Assurance... - Source: Hacker News / almost 3 years ago
  • Migrating to Terraform: a retrospective
    At 15Five we migrated to Terraform in 8 months with a 3-person team. It went smoothly and gave us more confidence in our AWS infrastructure. When it came to setup a new VPC for a customer, the hours we invested returned to us in a speedy and simple setup, a process that would have been a massive pain if we had done it manually. - Source: dev.to / about 4 years ago

What are some alternatives?

When comparing Google Cloud Dataflow and 15Five, you can also consider the following products

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

Officevibe - Officevibe is an employee survey platform with the mission of improving company culture. Measure and improve your culture in less than 5 minutes per month, with our simple surveys.

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

Qualtrics Employee Experience - Qualtrics Employee Experience Management Platform helps improve the way people make decisions by creating amazing employee experiences.

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

TINYpulse Engage - Increase Your Employee Engagement. Instantly.