I never saw any scalability problems. There’s probably not a scalability issue. It’s just if you've got multiple processes hitting the same data source. Sometimes it has to wait for the data to update. Perhaps maybe there's a way in bigger organizations where there's a lot more going on where that could become a problem, and you might have to schedule how that gets done.

I had everything set to real-time, meaning if a database update was made over in Smartsheet, it would immediately notify Domo and start to pull the data over. However, if I had set it to do it every hour or two times a day or something, then that wouldn't have interrupted the project meetings.

It scales pretty well. My data set was not big. I didn't have millions of records or billions of records, so I never really stressed the system. I had 100,000 records or less across all my entities.

At one company, it was being used across all the major teams. There's a data engineering team and a finance team that was using it for the general ledger reporting. Operations were using it, and those operations encompassed a large number of things. That included procurement, construction, hospitality, training teams, and HR teams. So it was fairly broad. However, we were a small division in the company, so it was less than 100 users.

At another organization, I was the only real power user. However, there were 35 people when I left that was given access and were using the reports or had access to the reports. It was not that many in the grand scale of an enterprise or big business.

You can automate the data collection, the data transformation, and the content creation. By content creation I mean the content generation, and for that, you have to initially create the cards, the pages, the dashboards, which is easy.

When the situation was one where people spent countless hours every month on various — between you and me, somewhat useless — data reports, with no insight, no drill-down capability, nothing, it was not a scalable approach. Now what we have is a scalable solution that provides business insights on-the-fly for folks, even on their phones, to answer difficult business questions, they don't have to spend countless hours manually trying to create that content in the first place.

The other thing is security. If you have to manually implement all of these security measures there's a cost. We haven't done this yet, although it's one of the things on deck this coming year, but you can set it so that security groups are automatically established for a person based on the department they're assigned to and on their level in Active Directory. That will grant them, or prevent them from having, access to specific content within the tool. That, once again, is scalable. In other words, we're not having to set up many individuals' security levels in Domo. We're in a position now to take advantage of that.

Even before making that leap, even manually setting up security groups and assigning people to those groups and creating security policies, is pretty easy and scalable. Going from sending out spreadsheets via email to the right people, to this kind of solution is a significant difference. It's a very scalable solution.

If we want to quadruple the size of our user base, meaning a lot more resources, or increase the content that we load into it because we have a new use case which means we're going to load another million rows of data a week into this environment, we can do so. If it was an on-premise solution we'd potentially have to buy servers, upgrade the CPU processors in the servers, upgrade the storage. With Domo, it just happens. We basically have unlimited data in our agreement.

Our first agreement was for three years and it was to get up to 650 users, and it was really intended primarily for senior management and above. But for that IoT solution for shipping, we have section leaders, people who are not managers in the quality group, who are using it. They had field reps who, instead of being out there serving the customers, had to create all of these reports on how things were going. Now, that all happens for them and that has saved a tremendous amount of their time.

We have individual performers, all the way up to the CEO, who have access. The meat-and-potatoes, the folks that really use it the most, are the senior managers and directors.

The solution's scalability is based on the infrastructure. So, the entire configuration changes whenever we add servers to scale up. Also, licensing is very high for scalability. We use the solution for enterprise business. We have thirty-five executives using it to generate global performance reports for our organization.

The solution is highly scalable.

They are doing well with scalability where other companies are struggling with it. Domo is providing a cool feature that other companies struggle to work on, which is something amazing to see. Innovation-wise, Domo is doing well.

In my organization, there are four users who use the Domo license. Two of them are managers, another is the group head, and the fourth is an analyst.

The scalability is also good. I think it lends itself well to a small business and can go as big as you want to go. There's scalability to connect to all of their applications and connectors. There is the ability to create custom API connections. The amount of data that can be pulled in is really unlimited. It lends itself well to the big guy and the little guy.

We're working on plans to increase our usage of Domo. As a company, we also have Microsoft Power BI. I'm working through trying to accommodate the two. I lean towards Domo but others are leaning towards Power BI. It's a conversation that's being had.

The scalability is excellent. We have input close to fifty billion rows in Domo, and this is where we saw the cards winded in pretty slowly. So we had a performance issue there, but say maximum up to twenty-five to thirty billion, this product is flawless. But when we talk about big data analytics with too many self-service components, this is where we see some performance depreciation.  We have more than two hundred using the solution.

In terms of scalability, we can add more users to Domo remotely. If today we have fifty users and tomorrow we want a total of five hundred users, we can just set up a call with the Domo team and they'd support us. Scaling up Domo won't be a problem.

I think that it is a fairly elastic and extensible application that I would scale to as big as you needed it to be based on how much computing you put behind it. I do not think it has a problem there.

I have worked with such large businesses with Domo that I think it could scale to any size. We have 12,000 users across the country, 600 stores, and hundreds of gigs of data.

The majority of the users are just looking at their numbers. They're not really doing much analysis or creating their own charts. But about 600 to 1,000 of the users are corporate users who make tables or their own charts or create their own metrics. But most of that runs through me, if they needed data changes.

I'm not sure there's much need for us to grow into it. We have adopted it close to 100 percent of the time. All of our company employees are on it.

It's quite scalable because they keep on adding new features. It keeps up with the market trends.

We went from a couple of thousand rows of data to 100 million rows of data with no issues at all. But we were not an enterprise. Domo is really an enterprise tool and that's where you get the big bang for the buck.

We began with three people and we grew up to about 100 users, plus some board members and some external investors. We were able to give dashboard access, different rights to different groups of people. We could build a "Board of Directors dashboard," or an "investor dashboard." Everybody used Domo in our organization, either to view, analyze, or for daily use. Some used it more, some used it less.

None. Completely scalable to any size organization.

I would rate the scalability at 7.5 out of ten. What differentiates other business intelligence software from Domo is that with other business intelligence software you can find tutorials on YouTube. For example, you can find several tutorials for Tableau on YouTube, but for Domo, I don't believe you can find any. It's difficult to find a training module for Domo, unless you are in the Domo University.

This solution is designed for scalability and depends on how much data you want to collect.

I don't know the exact number of users using this solution, but it is probably at least 100. In terms of the roles of users, it ranges from engineers to developers and managers. In terms of maintenance, there is a primary contact, and another person acts as a backup if the primary contact isn't available.

There is an issue with Domo's storage because there is a limit with it. In five years, the storage requirements for Domo will not work for companies.

We currently have 50 people using the solution, though we have only about ten full access accounts. The rest of the accounts are preview only versions.

We are moving fast, and updating how we use the tool all the time. Exploring new ways to make the information consumable to a host of customers both inside and outside our company. So far, so good.

Since this is cloud based, there have been no issues at all with more users running the same report.

It is scalable. Our company is a classic example of that. Our company deals with healthcare data for the entire United States, part of Canada, and some parts of South America, and additional international locations. So our data is huge. Really huge. I don't think any other organization deals with this much data. And Domo scales as much as you want.

We have around between 1,500 and 2,000 customers using this, and their roles range from CIOs to vice presidents, directors, analysts, and financial analysts. Currently, in our company, it is not being used as actively as Tableau, but we are expanding usage. When this product was introduced in our organization, we had a customer base of around 20 or 30 people; two or three different teams. We are further expanding it to the entire organization. Our target for this year is to have around 6,000 to 7,000 folks onboard.

Scalability is pretty good. I didn't have any issues with it. I was able to do a wide range of things. There's a lot of room for growth and the ability to grow on the platform.

I do see limitations with respect to the Domo Appstore. If a client has a specific requirement, we need to reach out to Domo and get things installed for them.

We did not try to scale to any meaningful level.

No issues encountered.

The solution is scalable, and 40 users are currently utilizing the solution in our organization.

No issues encountered.

Significantly. When we signed our initial agreement, they told us that we could use it.

It's too early to tell about scalability because I have not worked on huge data sets as of yet. I've heard there are certain apps that you bring in, if you have millions of records, to get them into the cloud. But I have not tried that out myself.

Scalability has been remarkable, with our options; an endless ability to load datasets of all sizes without concern.