Looker has put a limitation on the number of records to be shown.

280 users are using Looker.

I would rate the scalability an eight out of ten. We have around 4,000 viewers, and around 200 internal admins and developers.

Scalability-wise, I rate the solution an eight out of ten.

Five or six people in my company, including the manager, use Looker.

The solution is not scalable because the dashboard will resume daily, and there is no automated way of duplicating the dashboard.

60-70 users are using this solution in our organization.

I rate the solution’s scalability a four out of ten.

I would rate the scalability an eight and a half out of ten. 

The solution's scalability is good. Unlike Tableau, which becomes slow over time (when the data size increases), Looker has been decent.  

Here there's a team of four or five people only who use the solution. It's not a big team. You don't need a lot of people to build the visualization. I'm not sure if there are plans to increase usage. That would be a decision of management. 

The code works pretty fine. I haven't encountered issues with scalability. I rate the scalability a four out of ten. We have more than 250 users in the tax project, 25 to 60 in the real estate and mortgage project, and more than 300 in the financial projects.

I rate the tool’s scalability an eight out of ten. I'm constantly working and learning with it. It's a powerful tool. Around 300 people from the product and business intelligence teams use the solution in our organization.

I have not used the solution's scalability part.

Looker can be scalable, but it depends on what components are being used. If the components are scalable and performant, then the solution can be highly scalable.

We're not a huge organization, but we've not had any trouble here. We have around 300 users, and around 100 unique users per day (peak), and that's never been a problem.

We have not had any scale issues yet. Our Looker instance is backed by Amazon Redshift, which had performed amazingly for us. Any slowness we encountered was due to our own data warehouse configuration, which we have resolved with improved indexes.

So far we did not encounter any issues with scalability. I'd imagine that issues with company data architecture and unthoughtful organization of Looker could hamper its effectiveness.

No.