Software Alternatives, Accelerators & Startups

Google Cloud Dataflow VS Countly

Compare Google Cloud Dataflow VS Countly 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.

Countly logo Countly

Product Analytics and Innovation. Build better customer journeys.
  • Google Cloud Dataflow Landing page
    Landing page //
    2023-10-03
  • Countly Landing page
    Landing page //
    2023-07-30

Countly is a product analytics solution and innovation enabler that helps organizations track product performance and user journey and behavior across mobile, web, and desktop applications. Ensuring privacy by design, it allows organizations to innovate and enhance their products to provide personalized and customized customer experiences, and meet key business and revenue goals.

Track, measure, and take action - all without leaving Countly.

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

Countly videos

Countly Community Edition

Category Popularity

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

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

Countly Reviews

Top 5 open source alternatives to Google Analytics
Heavily targeting marketing organizations, Countly tracks data that is important to marketers. That information includes site visitors' transactions, as well as which campaigns and sources led visitors to your site. You can also create metrics that are specific to your business. Countly doesn't forgo basic web analytics; it also keeps track of the number of visitors on your...
Source: opensource.com
Find the Best Mixpanel Alternatives for Your Product Team
While Countly is a great option for security-conscious product teams, it still requires manual event setup. Pricing starts with an open source, free-forever plan that’s extensible with the right engineering resources. However, Countly doesn’t have a way for less technical users to easily get started.
Source: heap.io
On Migrating from Google Analytics
The initial installation of Countly isn't too difficult. They offer a pretty convenient One-Liner Countly Installation script. According to the documentation they suggest a server with 2GB of RAM. I ran Countly on such a server for several months, but eventually downgraded to a server with 1GB of RAM, and haven't encountered any issues so far.

Social recommendations and mentions

Based on our record, Google Cloud Dataflow should be more popular than Countly. 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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Countly mentions (6)

  • Want your dedicated (and managed) product analytics server?
    Hello HN, founder of Countly (https://count.ly) here. As you might know, we are the creators of one of the first open-source product analytics platforms that has 10+ SDKs for mobile, desktop and web applications. We've been working on a new SaaS, myCountly, to help you launch your own Countly servers in any location, so your user data stays close to home. We are going to do an alpha launch soon, and looking for... - Source: Hacker News / over 1 year ago
  • Which crash reporting platform do you use for your Vue apps?
    Is countly still operational? Can't connect to their website https://count.ly/. Source: almost 2 years ago
  • Ask HN: Best alternatives to Google Analytics in 2021?
    Always surprised more people don’t use countly. Runs nice in docker or digital ocean. https://count.ly. Been self hosting it for years with few issues. - Source: Hacker News / over 2 years ago
  • Open Source Analytics Stack: Bringing Control, Flexibility, and Data-Privacy to Your Analytics
    Countly (website, GitHub) is also an open-source product analytics platform that is designed primarily for marketing organizations. It helps marketers track website information (website transactions, campaigns, and sources that led visitors to the website, etc.). Countly also collects real-time mobile analytics metrics like active users, time spent in-app, customer location, etc., in a unified view on your dashboard. - Source: dev.to / over 2 years ago
  • Google Analytics deleted my entire account because I didn't log in for 60 days
    Self-hosted alternatives to Google Analytics include: Matomo, open core with a broad feature set: https://matomo.org Countly, open core with desktop and mobile tracking: https://count.ly/ Plausible, open source with a simple feature set: https://plausible.io. - Source: Hacker News / about 3 years ago
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What are some alternatives?

When comparing Google Cloud Dataflow and Countly, 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?

Amplitude - Mobile analytics: come with questions, leave with answers