SAP is a scalable product.

SAP Lumira's scalability is very limited. Every time we have to involve IT if there is a change in the dashboard. The IT department has to come help with small changes to text or something minor, which is very straightforward on Tableau to do.

We have approximately 20 users using SAP Lumira. It is a tight-knit team.

I don't know because we're not there yet. We are just in the very, very pre-evaluation phase, so I cannot really comment on that.

Scalability is more on the configuration side. We've installed the vanilla installation on the tool. Yes, scalability is typically when we get some end users kicking the tires and playing with the system, we find some bugs or defects and then we need to modify or potentially enhance some of the custom or vanilla settings used when it was installed. Put it this way: These are typical issues with BusinessObjects.

It’s a scalable application.

I was testing it so I didn't need to scale it.

It's not a tool for the entire enterprise. It's a tool for people that are used to doing data analysis, so financial planners, inventory or merchandise planners.

It's been able to scale for our needs.

I don't use it for high volumes right now, because when I started to input big files, it was not possible to work with it. It took too long or it didn't input at all. I found that limit. I don't want to have issue because we use very big files. Sometimes we want to analyze three or four years of data, and those are big files. Lumira is not good at that at this moment.

Most of the data I've uploaded has been simple data, simple columns. I haven't had any data with any issues yet.

Lumira doesn’t handle large datasets well. I needed to bring in multiple years’ worth of data recently, but was unable to due to the size of the dataset.

Lumira is scalable - we can deploy a cluster with different nodes and deploy features on different nodes.

I got an error when trying to load more than 10,000 rows, while I was able to load 200 million in PowerBI.

I haven't had any scalability issues because I've never really really leveraged the tool for very, very large data. I've only ever used the tool for its visualizations with small data sets, a thousand records or less.

It's been able to scale for our needs.

The more workload you throw, it seems to slow down, but that's typical for data mining.

We have had no issues with scaling it for our needs.

There was an issue with non-dynamic charts a while ago when we started, but it’s all good now.

It's been able to scale for our needs.

The data we had was stored fine. It was nothing bad. It was okay. It was very large. We kind of summarized a lot of data so we are okay with that. We don't contract too many issues because our benefits are smaller.

It has been able to scale for our needs.

It is highly scalable.