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AppFollow is an integrated solution that makes monitoring, analyzing, and elevating your app's reputation easy.

AG Grid
Hashnode
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A grid library for instant big data processing.

Which is more popular?
Based on our record, DataTable.dev seems to be more popular. It has been mentioned 1 time since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | appfollow.io | datatable.dev |
| Pricing | — | |
| Company | Startup from Finland · 50 - 99 employees · 2015 | — |
| Listed in |
In their own words, as submitted to SaaSHub.


Your app's reputation determines success. Apps with 4+ stars capture 80% of market revenue and get conversion rates that make competitors jealous. We built AppFollow as the reputation management platform that turns user feedback into measurable results. AppFollow filters reviews for app teams who...
DataTableDev is a grid with maximum speed and efficiency. Developed to display and analyze millions of rows in a split second, it will be a true find for an effective data visualization. Based on a new technology, this grid instantly handles and shows gigabytes of your data. At once, users...
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
No analysis of DataTable.dev yet.
Walkthroughs and reviews on video.
ASO Tool for Keyword Research (AppFollow Review)
More videos
DataTable.dev - a grid component to process & show big data on-the-spot
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing AppFollow and DataTable.dev.
AppFollow's answer
AppFollow uniquely combines AI-powered review analysis, reply automation, and app store optimization into one platform. We help mobile-first teams understand user feedback at scale and turn ratings and reviews into a real growth lever — not just a support task.
AppFollow's answer
AppFollow is built for teams that care about outcomes, not just data. Customers choose us because we:
Save time with smart automation
Reveal product and UX insights hidden in reviews
Help improve ratings faster with data-backed actions
In short: fewer tools, clearer decisions, better ratings.
AppFollow's answer
AppFollow started with a simple problem: mobile teams were drowning in user feedback but couldn’t act on it fast enough. What began as a way to track and respond to app store reviews quickly evolved into a full platform helping teams turn user voice into a competitive advantage.
AppFollow's answer
AppFollow is built using modern cloud infrastructure and scalable web technologies, with a strong focus on AI/ML for text analysis, automation, and secure data processing. The platform is designed to handle large volumes of app store data reliably and in real time.
AppFollow's answer
AppFollow's answer
The platform is built for product managers, growth and ASO marketers, customer experience leaders, and app teams who manage large volumes of user feedback across app stores, regions, and languages. These teams rely on AppFollow to filter signal from noise, identify reputation risks early, and turn user feedback into faster product improvements and measurable business results.
AppFollow is especially valuable for organizations where:
A small change in star rating creates outsized financial impact
Review volume makes manual analysis impossible
Speed matters when bugs, crashes, or UX issues affect ratings
Reputation management must scale without increasing headcount
From fast-growing app publishers to international brands managing apps across dozens of markets, AppFollow serves teams that view reputation management as a growth engine, not a support task.
Share your experience with using AppFollow and DataTable.dev. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


COMPARE / INDEX ASOScan vs.the rest.6comparisons100%public pricing data0cherry-picked tables01AppTweakASOScan vs AppTweak: 6× more keywords per dollar. See the full comparison →02MobileActionASOScan vs MobileAction:...
We have no reviews of DataTable.dev yet. Be the first one to post
Recommendations tracked on public social media and blogs since March 2021.


Tracking AppFollow since Mar 2021.
Hey Reddit! It’s DataTable.dev here - a JavaScript grid component that can instantly handle any amount of data. We managed to create an approach to working with such tabular data providing our users with ideal performance regardless of... Source: about 3 years ago
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