Its scalability is really good. You can scale in both ways. You can actually scale up and down or scale out. Scaling up and down is done where we have an extra small warehouse, and we are moving to small, medium, large, or something like that. If you have a query that is running slow or a lot of data you are dealing with is slow, you can scale up. If you want to scale down from large to small, you can do that. 

If you want to get concurrency, scale-out architecture is available. I can actually do a cluster-based architecture where I can have two clusters, three clusters, or something like that. This way the concurrency can be improved.

In terms of the number of users, we have around 200 users.

The solution is quite scalable both horizontally and vertically. It's an easy job. We just need to resize it. 

Within our module, there are around eight to ten people who are working on Snowflake. In a full project, if I'm looking at the holistic picture, there are around 30 to 40 people who are using Snowflake.

Snowflake is scalable both in terms of the amount of data that you can run through it and the number of users that engage with it. We have five direct users and then, because Snowflake powers all the dashboards, 250 indirect users.

We plan to increase our Snowflake usage in the future. As we send more data through it and build out more sophisticated dashboards and reporting and especially statistical modeling, we will increase our usage.

We have at least 1000 users in our organization. We will surely use the product in the future.

It is good at scaling. You can scale it horizontally or scale vertically. That's a big plus. Scaling easily is a big thing.

The scalability is good. There are around 35 people in the company using Snowflake and six engineers dealing with maintenance. 

It's definitely scalable. We're on a very small usage compared to some of the other clients I know Snowflake has, so it's definitely scalable because we have tons of room to grow for our use.

Including myself, we currently have five users and they're data analysts.

We have 250 or more users on the solution currently. They are predominantly IT specialists, including engineers and developers. It's for those on the application side of development. The solution is scalable. I'd rate the scalability nine out of ten.

I would rate the scalability of this solution a 10, on a scale from one to 10, with one being the worst and 10 being the best. There are around five developers in our company and 500 end users for this solution.

The power of Snowflake is that it scales automatically and indefinitely. We have around 500 internal users using the solution daily, and most of our applications use the product in some shape or form, so that's a few hundred thousand external users.

If we need to scale up, it will impact our costs. I work in a consulting company. We have a department dedicated to Snowflake. We have seven to eight people on our team. Our clients were medium-sized businesses with 1000 employees. They are focused on data analytics solutions. They also have departments for Azure and AWS. I rate the tool’s scalability a seven or eight out of ten.

It is scalable. The warehouses or auto-scaling features in the warehouses are great. You can go from small to medium to large all the way up to extra large, and there are different auto-scaling tasks that can happen. You can turn it on and turn it off based on the usage or auto-turn it on and turn it off. That's a pretty nice feature to have and we find it both sustainable and scalable for sure.

I work for clients, so last time when I worked for a client, there was a group of 100 people who were actually signed up to use Snowflake. 

This is a scalable solution. 

We have high confidence in its scalability. In terms of its users, for our solution, we only have a team of 10, but we have plans to increase its usage.

It is a highly scalable solution. There is no limit on storage or computing. They have everything on consumption-based pricing, but you can have what's known as a multi-cluster warehouse. So, warehouses are what you use for the compute.

The multi-cluster warehouses will sit there originally as a single cluster. But then, if there are enough concurrent queries taking place in that warehouse, it can, as it needs, just spin up another one from another one and another one to meet those current needs. And as soon as they can dive down again, it can switch those clusters off again one by one. And you can create as many clusters, warehouses, as many as you need. There is no scaling issue at all. I've seen it most, like, 10,000 queries a second, and it's run very, very smoothly.

My impression is that this is a scalable solution. There are around 200 users of this solution at our company, including three administrators.

Its scalability is high. I'd rate it an eight out of ten in terms of scalability.

At this time, we have no plans to increase its usage.

I give the scalability an eight out of ten.

Excellent.

The scalability is very good and we have around two hundred data sets currently operating.

We did not need to scale our Snowflake environment beyond what we needed. We have a fixed amount of traffic from a fixed number of clients. We know the load we need to handle, and based on that, our subscription is made.

I rate the solution's scalability as a nine.

We have approximately 10 people in the organization who are using Snowflake.

Around 400 users are using the solution in our organization.

I have gone to the extremes from a scalability perspective and I give Snowflake's scalability an eight out of ten.

The scalability of Snowflake is very good.

I have approximately six customers using this solution but in addition, I am directing more.

It has very good scalability. Your data can grow in the platform. We have at least 50 users of this solution in an organization.

The scalability is good. It handles a lot of data, and the processing speed is very high.

Snowflake is a cloud solution that provides great scalability. However, I am not sure if it is cost-effective.

We have approximately 30 engineers using this solution. We have plans to scale our usage in the future. This is going to be a futuristic solution.

It is scalable.

It is scalable. As of now, there are 500 users, but slowly, we are planning to roll out to multiple regions. It is currently in Europe, and we will be rolling it out to the APAC and USA regions. By the year-end, there will be more than 1,000 users.

This is a scalable solution. 

This is a scalable solution. 

The most valuable aspect of Snowflake is its scalability. The volume of data, which I have seen across almost in terms of five terabytes and other terabytes of data, I didn't see issues.

We can scale up or down based on our needs. We don't have tons and tons of data, but based on the quality feedback from our vendors, it can handle large volumes and has the competency. With the dynamic scale-up feature, we are confident that it is going to meet all our requirements.

Currently, our number of users is very limited because we have just started the migration. We don't have many users on the platform. All of our focus is on Snowflake because we're moving to Snowflake, and its usage will increase in the future.

I've never had any issues with it. It is being extensively used. We have between a hundred and a thousand users using Snowflake.

The product is scalable. You can scale the solution’s computation and storage features separately.

It's an infinitely scalable system, but if you use terabytes or petabytes of data, then you need to tune the levels. Each day, we get four to five gigs and overall, our data warehouse has 100 gigs plus, it's huge data. 

Scalability is very good and very simple.

Within the company, we currently have a total of fewer than 50 people using the product. Their general roles vary from data analyst to data scientist, to IT professionals, and maybe one or two of the upper managers.

Snowflake is a scalable solution.

We have approximately 200 to 300 people using the solution.

Snowflake is scalable. It does cost more money, but it's some kind of magic they're doing behind the scenes that you don't have to think about. It's brilliant, and it's going to take over completely.

We're working in 32 countries with enterprise size customers. We're still waiting to see what happens with that level of scalability and how the solution performs. If this product can be further fine-tuned or optimized in such a way that it becomes a very good fit for the Azure platform, that would be great. 

I give the scalability an eight out of ten.

I give the scalability an eight out of ten.

We have two clients using this solution.

The solution is highly scalable.

The scalability of the solution is very good. If a company needs to expand it, it can do so with ease.

We have about 100 people on the product currently.

The product scales quite well. If a company needs to expand it, it can do so without any problem.

We deal mostly with clients that have medium to large-scale organizations. It works well for both.

The product is scalable enough.

We scaled it a little bit. We didn't have a lot of data to scale, as a lot of companies do. We only had a couple of terabytes of data, which is insignificant for a cloud platform. 

The development team had three or four people getting data in. Then report people were also using the platform, but they didn't really have to know that it was Snowflake because they were going at it through a reporting tool. There were probably 30 or 40 people writing queries against our reporting tools, which were, in turn, using Snowflake.

Snowflake does not require manual scaling because it does it for you. Developers just need to load the data and process the query. That's it. The developer's job is not to spend time improving performance, as it was with an on-premises solution. We had to do the partitioning, collect the stats, and everything else. In the case of this cloud-based solution, it doesn't require as much work. Instead, we can focus on the queries.

We are planning to increase our usage of Snowflake.

The number of people at our company currently using the solution depends on what we are trying to accomplish. We have four developers in Snowflake and then we also have users who are leaving data with us for our further analysis. That may be around ten other users.

With the growing data set we have and the increase in the size of our business, we will increase the use of Snowflake, but not with respect to the number of users. We are a small company and all the users who need to use it are already using it. We have more data that we need to load and which we want to integrate before we will make more usage of Snowflake.

As long as you don't need to worry about storage or cost, this solution would be one of the best ones on the market for scalability purposes. We've migrated about 400-450 dealers onto the solution so far. We do intend to expand usage so there will be more users and more data. The drawbacks we've had with on-premises was space being a constraint and the user code having limitations.

The one thing that seems to be unclear for Snowflake customers is the cluster sizing. No one seems ot know how to compute that.

For example, if I'm running a warehouse that is extra small, as per my query performance, if I see like if this query will run perfectly on the machine I will have. However, I don't know which machine to go for. There's no direct comparison between an extra small, or a small, or a medium warehouse. I never get to know, unless I run the case query on different sizes, which to go for. It's hard to say "Buy only this and go for that particular size". Sizing seems to be a bit of trial and error. If they had some sort of benchmarking around their cluster size, that would be helpful.

It's a scalable solution, we have unlimited storage in Snowflake.

The scalability is built into this solution as being on the cloud. It is able to scale in all directions. Additionally, they have a multi-cluster warehouse, and based on the business use case it is very good.

There are approximately 4,000 portals. However, we do not know how many users our clients have that are using their portals.

We are building new data warehouses and we are migrating from SQL Server to Snowflake.

The solution is definitely scalable. We're able to add nodes to grow it out when we need to. If an organization needs to expand the solution, they can do so easily. We find it to be very reliable.

There are about 300 people using the solution at this time. We don't plan on increasing usage at this time.

The solution is highly scalable. 

My impression is that this product is pretty scalable.

We have 20-30 solution users in our organization.

A great feature of Snowflake is that you can resize your warehouse according to your needs. Whenever we are expecting a huge amount of data, we can scale it up. It does that automatically as well, which is the best thing. We don't have to worry about that, and there is also no need for a database administrator. We do not need any DBA for this.

It is very simple to scale up and down depending on the project or situation, which is an advantage.

It is scalable. We have four users who are using Snowflake. 

I give the scalability a nine out of ten.

It is scalable.

Snowflake is quite scalable. We have four people who are using it.

If you go with one cloud provider, you can't switch.

We have very few users. There is just a very limited number who are mostly developers. We did not roll out the end product. We did not roll out product and services based on that foundation/infrastructure yet.

Snowflake is very scalable. Our client companies where we implement Snowflake are medium to large sized. These companies have offices in different parts of the world, not just some regions, but companies with office users in different parts of the world. We are dealing with international companies. Their tendency is to increase the use of the Snowflake platform. It would serve all the analytical needs in these companies.

If there is a need for scaling the setup is not so good. 

No

I have found the solution to be scalable. We have a few employees working on this solution in my organization.

Its scalability is great. We have data processing of one terabyte per month.

It is scalable.

This is definitely a scalable solution.

The scalability is incredible. It's the best I've ever seen. Organizations can scale easily. I can scale up four times faster as well. Something that usually takes 60 minutes can be done in 15 or 20 minutes. It's faster and I save costs because I only pay for the time. Even though I'm paying "more" I end up saving money with this time based costing.

We have not tested scalability, but the solution claims that it's scalable. It's on the cloud, so I imagine you could scale rather easily if you needed to. 

They separate compute and storage. You can scale storage independently of the computer, or you can scale computing independently of storage. If you need to buy more computer parts you can add new virtual warehouses in Snowflake. Similarly, if you need more storage, you take more storage. It's most scalable in the database essentially; typically you don't have this scalability independence on-premises. 

We have about 40 people using the solution. They're mostly business users.

Snowflake scales well. If a company needs to expand, it can do so.

It is very scalable. We currently have more than 50 users. We can increase its usage.

It is scalable. There are no problems with the scalability of this solution. There were 50 or 60 users using it at the same time.

It's very easy to scale because Azure cloud's own data warehouse gives us that capabilities to scale up or down at any time we want. There are a great number of users on the solution, but it differs from client to client. One client, for example, has about 30,000 users.

We haven't heard of clients having issues with scalability. It can expand well. A company that needs to grow it out can do so without any trouble.

With a different cloud that warehouses are the standard for now but the scalability is pretty straightforward.