Software Alternatives & Reviews

Google Cloud Dataflow VS Heap

Compare Google Cloud Dataflow VS Heap 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.

Heap logo Heap

Analytics for web and iOS. Heap automatically captures every user action in your app and lets you measure it all. Clicks, taps, swipes, form submissions, page views, and more.
  • Google Cloud Dataflow Landing page
    Landing page //
    2023-10-03
  • Heap Landing page
    Landing page //
    2023-10-05

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

Heap videos

Septimus Heap Series by Angie Sage || Spoiler Review

More videos:

  • Review - Fargo Season 1 Episode 8 "The Heap" Review
  • Review - Data Structures: Heaps

Category Popularity

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

User comments

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

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

Heap Reviews

Top 10 CRO Tools to Boost Conversions for Free in 2023
This is one of the website conversion tools that will give you data about your visitors’ interactions. Heap can analyze common traffic metrics, including sessions and page views. In addition, it will offer form analytics like form submission, field changes, and clicks.
Source: aigrow.me
10 Best Google Analytics Alternatives (Free & Paid)
If you are looking for Google Analytics alternatives, Heap service is one of them! This service is designed in a straightforward and practical way and provides a variety of information in its dashboard. To sum up, you can track various events by using this marketing analytics tool.
Best 10 Session Replay Tools and Software
Want to Automatically capture and organize a set of behavioral data? Do you need to uncover hidden drop-off points in your visitors’ experiences? Heap claims to be one of the session replay tools that gives you complete insights into your customers’ journey.
Free SEO Tools To Improve Your Rankings
Heap (Free Plan) - A web analytics service that allows you to track website visitors' behavior.
Find the Best Mixpanel Alternatives for Your Product Team
Heap is a product analytics platform that helps you understand how and why customers engage with your product and website. Heap solves a major shortcoming that Mixpanel and many of its alternatives have—manual event tracking. Instead of requiring engineers to set up detailed custom event tracking, Heap autocaptures all data on user activity from the start. This quality alone...
Source: heap.io

Social recommendations and mentions

Google Cloud Dataflow might be a bit more popular than Heap. We know about 14 links to it since March 2021 and only 11 links to Heap. 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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Heap mentions (11)

  • free-for.dev
    Heap.io — Automatically captures every user action in iOS or web apps. Free for up to 5,000 visits/month. - Source: dev.to / over 1 year ago
  • Question about testID in prod vs dev builds
    Check out Heap for React Native - https://heap.io. Source: over 1 year ago
  • All 2200+ companies in my db have a dedicated page now.
    How heavily does the site depend on heap.io for its core functionality? Like, say Heap went under completely out of the blue (god forbid) and you had to switch to Google analytics, how much tech debt are you in? Source: almost 2 years ago
  • Thousands of Popular Websites See What You Type–Before You Hit Submit
    Aren't services like Heap effectively worse versions of this? On their landing page they outright list this as their value prop: > Heap collects all the data on your customers - automatically. What they click. Where they go. What they do, even when you’re not looking. All without the need for engineers. [1]: https://heap.io/. - Source: Hacker News / almost 2 years ago
  • We (Still) Believe in Private Offices (2015)
    Author here, surprising to see this blog post of mine trending, but it has held up pretty well! Happy to answer any questions about my time at Stack Overflow. I've since moved on to Heap (https://heap.io/) and we are hiring. We're virtual first so we don't have private offices, but we have the same values about treating developers well and giving them the space they need to do deep work. We're hiring for basically... - Source: Hacker News / over 2 years ago
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What are some alternatives?

When comparing Google Cloud Dataflow and Heap, 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.

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

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

Adobe Analytics - Adobe Analytics is an industry-leading solution that empowers you to understand your customers as people and steer your business with customer intelligence.