
Google Analytics
Mixpanel
Adobe Analytics
Smartlook
Google Tag Manager
Amplitude
Pendo
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.

Airbyte
Apache Kafka
Apache Camel
Fivetran
Kettle Pentaho
Talend Open Studio
CloverDX
Simple, Composable, Open Source ETL

Which is more popular?
Based on our record, Heap should be more popular than Singer. It has been mentioned 11 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | heap.io | singer.io |
| Pricing | ||
| Company | Startup from the United States · 100 - 249 employees · 2013 | — |
| Listed in |
What each product offers, as listed by its team.


Possible disadvantages
No features have been listed yet.
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
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.
No analysis of Singer yet.
Walkthroughs and reviews on video.
Septimus Heap Series by Angie Sage || Spoiler Review
More videos
30 Day Vocal Transformation | Horrible Singer Learns to Sing + SINGR Review
More videos
How often each product is chosen within a category, 0–100% relative to the other.


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


Heap is a web and mobile data analytics platform that captures every user interaction via secure session recording. Use it to get insights into customer behavior and to streamline your digital experiences. ⏩
On the other hand, Mixpanel requires you to manually define the events you want to track from the start. While this might take some extra time, it provides more detailed reports right off the bat, which makes the...
Heap is a robust product analytics platform that provides users with a plethora of in-depth insights into customer behavior and needs. With Heap, you can track user interactions in real time across all touch points...
Older framework: Singer flourished while Stitch was doing well. But after it was acquired by Talend, which then got acquired by Qlik, it is buried as one of three overlapping tools inside Qlik. Meltano is a newer...
One thing to keep in mind is that Singer is a script-based ETL tool; you have to write specific codes to perform ETL duties. Data extraction scripts are called ‘tags,’ and data loading scripts are termed ‘targets.’...
Some Open-Source ETL Tools have a command line interface. Singer is one such tool that uses a command-line interface to allow users to build modular ETL Pipelines using its “Tap” and “Target” modules. Singer provides...
Recommendations tracked on public social media and blogs since March 2021.


Heap.io — Automatically captures every user action in iOS or web apps. Free for up to 5,000 visits/month. - Source: dev.to / almost 4 years ago
Check out Heap for React Native - https://heap.io. Source: about 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: about 4 years ago
Coincidently, I saw a presentation today on a nice half-way-house solution: using embeddable Python libraries like Sling and dlt - both open-source. See https://www.youtube.com/watch?v=gAqOLgG2iYY There is also singer.io which is more... Source: almost 3 years ago
Singer is an open-source framework for data ingestion, which provides a standardized way to move data between various data sources and destinations (such as databases, APIs, and data warehouses). Singer offers a modular approach to data... - Source: dev.to / over 3 years ago
Or you could build your own such system and run it on Airflow, Prefect, Dagster, etc. Check out the Singer project for a suite of Python packages designed for such a task. Quality varies greatly, though. Source: almost 4 years ago
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