
Google Analytics
Mixpanel
Amplitude
Heap
Matomo
ThingSpeak
SimilarWeb
Product Analytics and Innovation. Build better customer journeys.

Amazon AWS
Microsoft Azure
DigitalOcean
Heroku
Linode
Vultr
CloudFlare
Google Cloud provides flexible infrastructure, end-to-security, modern productivity, and intelligent insights engineered to help your business thrive.

Which is more popular?
Based on our record, Google Cloud Platform seems to be a lot more popular than Countly. While we know about 211 links to Google Cloud Platform, we've tracked only 6 mentions of Countly.
Website, pricing, platforms and company facts side by side.
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|---|---|---|
| Website | count.ly | cloud.google.com |
| Pricing | ||
| Company | Startup from the United Kingdom | — |
| Listed in |
In their own words, as submitted to SaaSHub.


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...
Google Cloud accelerates every organization’s ability to digitally transform its business and industry by delivering enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and...
What each product offers, as listed by its team.


Possible disadvantages
Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
Countly Community Edition
Amazon Web Services vs Google Cloud Platform - AWS vs GCP | Difference Between GCP and AWS
More videos
How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using Countly and Google Cloud Platform. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


Use Case Example: A mobile app development company uses Countly to track user engagement across their portfolio of apps and websites, streamlining their marketing and development efforts.
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....
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....
Google Cloud shines as a comprehensive suite of database solutions, which include Cloud SQL, Firestore, Bigtable, and Spanner. It caters to a wide range of workloads, from analytics to enterprise applications. Its...
Google Cloud consistently performs well in load tests, handling high traffic volumes with minimal impact on website performance.
Big Data and Analytics: Using Google’s data processing resources, Google Cloud provides dependable big data and analytics solutions, enabling your e-commerce business to make data-driven decisions.
Recommendations tracked on public social media and blogs since March 2021.


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... - Source: Hacker News / over 3 years ago
Is countly still operational? Can't connect to their website https://count.ly/. Source: about 4 years ago
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 / almost 5 years ago
Provision managed resources (Postgres, MongoDB, Kafka, RabbitMQ, etc.) from DigitalOcean, Supabase, Scaleway, AWS, or Google Cloud. It doesn't really matter which; they all offer good SLAs. - Source: dev.to / 8 days ago
A Safe, Live Data Layer: Instead of testing in a vacuum with fake data, developers bootstrap ideas using Google AI Studio templates. These hook into a secure Google Cloud proxy server that grants pre-authenticated, read-only API access... - Source: dev.to / 3 months ago
For sheets that need to move in real time, pair our WebSocket feed with a small bridge running on a Google Cloud function. Our WebSocket candles guide shows a reconnect-safe pattern in Node.js, and the low-latency forex dashboard use... - Source: dev.to / 4 months ago
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