
Envoy
Proxyclick
TractionGuest
SwipedOn
Teem
WhosOnLocation
VisitorTrack
The Receptionost is a visitor managemnt solution that has visitor logging system to track visitor traffic.

AG Grid
Hashnode
DataTables
Chart.js
FathGrid
React
D3.js
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 | thereceptionist.com | datatable.dev |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of The Receptionist yet.
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
The Receptionist is recommended for businesses of all sizes, particularly those that receive frequent visitors or require an efficient and secure way to manage guest check-ins. It is ideal for corporate offices, co-working spaces, and any organization focused on improving front desk operations.
No analysis of DataTable.dev yet.
Walkthroughs and reviews on video.
The Receptionist for iPad
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.


Share your experience with using The Receptionist and DataTable.dev. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


Tracking The Receptionist 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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