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Heap
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Heap is recommended for medium to large companies, product managers, marketing teams, and data analysts who need a platform that offers detailed, user-level insights and robust analytics features without the complexity of setting up extensive tracking code. It is also well-suited for teams that want to make data-driven decisions quickly and efficiently.
Based on our record, Heap seems to be a lot more popular than Datafold. While we know about 11 links to Heap, we've tracked only 1 mention of Datafold. 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.
Heap.io โ Automatically captures every user action in iOS or web apps. Free for up to 5,000 visits/month. - Source: dev.to / over 3 years ago
Check out Heap for React Native - https://heap.io. Source: almost 4 years ago
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 4 years ago
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 youโre not looking. All without the need for engineers. [1]: https://heap.io/. - Source: Hacker News / about 4 years ago
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 / almost 5 years ago
Gleb, Alex, Erez and Simon here โ we are building an open-source tool for comparing data within and across databases at any scale. The repo is at https://github.com/datafold/data-diff, and our home page is https://datafold.com/. As a company, Datafold builds tools for data engineers to automate the most tedious and error-prone tasks falling through the cracks of the modern data stack, such as data testing and... - Source: Hacker News / about 4 years ago
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