Snowflake Reviews

It was used in my previous company for a massive data warehouse. It was used for events and actions from other data sources. We had its latest version.

It is a very well-distributed system. It has different data engines for different applications. Many applications can use different computational engines at the same time. In terms of data processing, the feeling was similar to working with a relational database but in a scalable way.

The scheduling system can definitely be better because we had to use external airflow for that. There should be orchestration for the scheduling system. Snowflake currently does not support machine learning, so it is just storage. 

They also need some alternatives for SQL Query. There should also be support for Spark in different languages such as Python.

I worked on it a lot in the past 12 months in my previous company.

Its stability is absolutely great. There are no problems with its stability.

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.

I don't have much experience with their technical support. When we asked them some technical questions related to Spark integration, they were quite supportive. Their support was fine.

I have used BigQuery on Google Cloud Platform and Spark on an internal cloud.

It was quite straightforward. There is no problem with that. However, managing the database and roles and access is complicated. Its deployment didn't take a long time.

I would rate Snowflake an eight out of ten.

We mainly used SQL scripts and provided a solution for different owners who want to query a database but have several tables. Typically, it is not an easy task to read several tables, so we provided our client with a very crisp data model where they can get results in a very quick manner. We implemented distribution as well as weekly partitioning. 

The relational piece and how one dimension relates to another just by using a key is the solution's most valuable aspect. We are managing everything by using simple relations. It's all about the relationships between dimensions.

Right now, we need to write code, but if they could create a version of Snowflake that was more drag and drop for those managers that don't know how to code, it would be great for our business.

The solution could improve the user interface and add functionality to the system.

I've used the solution for two years.

The solution is stable. We bring in incremental loads into Snowflake. There are pipelines that daily seed data from Oracle to a data warehouse. It's a prebuilt code and it allows for great stability.

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've never been in touch with technical support.

The initial setup is straightforward. You just need to follow the documentation.

We handled the implementation ourselves. I've handled two or three projects previously, so I'm comfortable with the solution. We don't need assistance because we handle the consulting part.

The solution is deployed on the cloud using Azure, where there's a data warehouse. We primarily use SQL scripts.

For those considering implementing, I'd advise that they understand the business very deeply first. Not every business would have a demand for Snowflake, so it's not for everyone. It's important to understand the requirements and then, if it makes sense, to implement Snowflake.

I'd rate the solution eight out of ten. I'd rate it higher if it had a better user interface.

The solution provides services to our customers.

The solution is very easy to understand. It's a simple solution. It's not complicated.

The product does a lot of wonderful stuff that a lot of these companies want to do without too much effort.

The initial setup is straightforward.

The pricing is reasonable and matches the rest of the market.

The solution is quite stable.

Our clients have not had any trouble scaling.

The pricing of the solution should be much easier to calculate or find by yourself.

Clients want to get a rough idea as to how much it's going to cost for year one, year two, year three, et cetera. There is a calculator that Snowflake gives you, however, more often than not, you have to go to Snowflake to get those numbers. You can't do it yourself. To simplify things, it could be easier if they made it maybe easier to understand the cost and what the outgoing cost for a customer would be.

In the future, if they added AI capabilities, that would be ideal.

I've been using the solution for about a year. It hasn't been that long. The company that I work for, on the other hand, has likely used it for three or four years or so.

The stability of the solution is very good. There are no bugs or glitches. It doesn't crash or freeze. It's very reliable in terms of performance.

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.

The initial setup is not too complex. It is pretty straightforward. A company shouldn't have too much trouble implementing the solution.

We deploy such solutions for our clients if they require it.

We are the first global premier partner. We have the highest level of Snowflake partnership

The licensing is a bit tricky as it's hard to calculate pricing ahead of time.

That said, most customers I have dealt with have no issues at all with the pricing. They think it's reasonable. Obviously, everybody, every single customer, wants to receive a price. That goes without saying. However, if you ask me if it's a fair price for the market, the answer is yes.

We don't recommend a cloud typically. We leave it to the customer. If the customer has AWS, and then we sell Snowflake on AWS. If the customer has Google, we sell Snowflake on Google or Azure, or if they have Azure, we sell Azure. They may even have a private cloud. We don't force the customer to buy a particular cloud. We go with the customer's preference from their cloud services because Snowflake works on all three clouds.

In general, I would rate the solution eight out of ten. It does what it says it will, and I have yet to hear of customers complaining about its capabilities.

We are an IT Analytic Consulting company and we work with many different products. We have Snowflake and a Snowflake account mainly for education purposes and our internal training.

We connected it to different sources, mainly internal sources. Most of them are on-premises and some are on the cloud.

The deployment model is public.

The most valuable features are: 

The multi-clustering: being able to access stored data without contention.

Virtual Warehouse (VW) sizing: Change the size of your VW on demand. 

Zero copy clone: Easy to create development and test environments.

I would like to have a tool where you can easily see the price because they need clarity of pricing.

Support needs improvement, as it can take several days before you get some initial support.

Integration could be the key to provide an optimal solution.

In the near future, I would like to see a built-in basic analytics solution that can be embedded for testing purposes, so you can see data not only in tables but also in a graphical way in order to better prepare data for analytics.

Embedded analytics would be nice.

The scenarios that we are using are not complex. For what we are using it's pretty stable.

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

In terms of support, it can take some time as there are not many people to provide support. Compared to other more stable providers it's a bit slower.

You have to wait several days to get support.

Snowflake is not the only solution we are working with but it is the only solution that we are heavily focusing on and investing our efforts into the knowledge and the training.

The initial setup can be complex at the beginning but once you get into it, it can be straightforward.

When you come from an on-premises solution and you have to change or shift to the cloud, it works very differently. Once you know the differences then it is straightforward.

We did not implement this solution through a vendor, we did it ourselves.

Pricing can be confusing for customers. For example, if a customer is asking for an estimate of the price, it's hard to tell because it is not easy to measure.

Improvement on the pricing and how it is presented is needed.

I would suggest being careful with selecting resources. Each customer case can be completely different and each can require different resources.

It's not only the database itself but also how you integrate it with the analytics and the resources. The estimation of the resources is something that you have to pay a lot of attention to when selecting the resources because sometimes you will need EPL or ELT integration, which requires a tool, as does analytics.

For an end to end solution, you have to include other products.

I would rate this solution an eight out of ten.