Snowflake Reviews

We are using the Matillion as the ETL tool and Snowflake has storage and there is no data warehouse component for storage.

I like the fact that we don't need a DBA. It automatically scales stuff.

Snowflake has better performance features; it automatically knows the difference between the data volume. It adjusts itself.

The performance is great. It internally optimizes well.

The product is stable.

The solution is scalable.

There are certain special features that are not available. For example, in Oracle, we have an SQL field. We have functions, procedures, packages, et cetera, which you can create similarly in Snowflake. However, it's not that flexible when compared to Oracle.

I've used the solution in the last year.

The product is stable and the performance is excellent. There are no bugs or glitches. It doesn't crash or freeze. It's extremely reliable. 

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

We also use Matillion. I find Snowflake a bit better.

We're partners.

While I can't speak to the version number we are using, we're always on the latest version of the solution.

Snowflake is a good product. It is quite robust and scalable. However, a few of the functions are a little complex in Snowflake. 

I would rate the solution at a nine out of ten.

We are using it as a data lake. We are using it as a data warehouse and a data mart. It is basically the entire BI and analytics platform.

I am using its latest version.

We find the data sharing and data marketplace aspects of Snowflake absolutely amazing.

There is a scope for improvement. They don't currently support integration with some of the Azure and AWS native services. It would be good if they can enhance their product to integrate with these services.

It would also be great if it can support stored procedures.

I have been working with it for four years.

It is stable.

It is scalable.

You need to be aware of the bloating costs. It is easy to use, but if you don't use it wisely, then your monthly bill can bloat a lot. You need to be a bit aware of its consumption cost.

I would rate it a seven out of 10.

The ETL and data ingestion capabilities are better in this solution as compared to SQL Server. SQL Server doesn't do much data ingestion, but Snowflake can do it quite conveniently.

They need to improve its ETL functionality so that Snowflake becomes an ETL product. Snowpipe can do some pipelines and data ingestion, but as compare to Talend, these functionalities are limited. The ETL feature is not good enough. Therefore, Snowflake can only be used as a database. You can't use it as an ETL tool, which is a limitation. We have spoken to the vendor, and they said they are working on it, but I'm not sure when they will bring it to production.

They should also make its initial setup easier. Its customization and configuration are not very straightforward.

Their technical support is awesome, but it is just too expensive.

I have been using this solution for about two years. I am currently using its latest version.

It is very stable.

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

They are fantastic but just too expensive. They charge hourly rates and are very expensive.

Its setup is not very straightforward. Its customization and configuration are not very straightforward. For two large data factories, the configuration is too complicated. They should work on it.

It is a good solution. At the moment, I can't find another product that is better than Snowflake, but it needs better ETL functionality, easier configuration, and cheaper support. All products have got some limitation.

I would rate Snowflake an eight out of ten.

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 use the solution for data warehouses and data modeling.

I have found the solution's most valuable features to be storage, flexibility, ease of use, and security.

There is a need for improvements in the documentation, this would allow more people to switch over to this solution. I would like to see in the future a wizard for data modelization automation.

We have been using this solution for approximately one year.

The solution is stable.

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

The solution is a SaaS, it can be installed and managed by your provider. The installation setup is not difficult in this case. However, the configuration took us a couple of days.

We did the configuration of the solution ourselves. You need a data engineer and modeler for the movement of information into the solution.

There is a licensing for this solution and we purchased an enterprise license. Overall the solution is cost-effective.

We did evaluate some other solutions previously, such as Snap Analytics. All the different solution have their pros and cons. However, many are moving to this solution because it is in the cloud.

I would recommend this solution to others and we are going to keep using the solution in the future.

I rate Snowflake an eight out of ten.

We have used Snowflake as a data warehouse solution in one of my projects and as a combination of data lake and DWH for another project.

In the second project, we migrated from a SQL DB to Snowflake as the DB was becoming a bottleneck in terms of storage and also in speed of execution of the queries as the data was growing. We also have JSON, which is hard to store and process in a SQL database. This is something that is handled beautifully by Snowflake.

In the first project, we used Snowflake as a simple DWH to store and process data. Also, as a BI reporting source.

Snowflake helped us to improve query performance as the data was growing. Also, we could store and process JSON and XML using Snowflake, which was not possible with RDBMS solutions. This also helped us to store huge amounts of data in Snowflake as a single source of truth and we could also use it as DWH. It is a single technology for multiple use cases.

Snowflake also helped us improve query performance to a great extent. The inserts of large JSON objects are very quick and processing them is very easy.

The most valuable features are:

1. The Virtual Warehouse and separate storage is definitely one of the best features. It automatically scales the warehouse up and down as per the usage.
2. Processing semi-structured data like JSON and XML has helped reduce a lot of coding that was needed earlier.
3. The speed of execution is definitely good.
4. There is zero maintenance activity required from users on the database, which is a big plus.
5. Working with Parquet files is supported out of the box and it makes large dataset processing much easier.
6. Automatic scaling up and down.

Several areas need to be improved, as follows:

1. Cost reduction: This is always good to have, and nobody would say no to it.
2. Implement multiple result windows as tabs to compare results. If we can have a feature where the results can be moved to different tabs, so that I can compare the results with earlier queries before applying the changes, it would be great. Also, it should be optional, where it can be enabled or disabled as needed.
3. I would like to be able to copy the results onto the clipboard and paste them directly into Excel.

We have been using Snowflake for two years.

The solution is mainly used for analytics in data warehouses. We are independent consultants and customers of Snowflake. 

The scalability of this product is great and the fact that it has a so-called zero clone copy and is near zero maintenance is also great. There are a lot of good features, it's a very sophisticated, cutting edge technology and is super easy to use. They are developing the platform very, very quickly so there are plenty of new features implemented all the time. You can concentrate on implementing things in Snowflake without tuning or configuring it.

There are some functions in the SQL language in other products which are not yet included in Snowflake's SQL. It would be helpful to have those included, they're nice features. It's a minor issue because all those things can be implemented in some other way. Not essential, but it would be nice to have them. 

I've been using this solution for 18 months. 

This is a stable solution and the maintenance and updates are automatic. Snowflake is responsible for that.

I have been quite satisfied with the technical support.

The initial setup is very simple, just go to the internet and start using it. Of course, if it has to implement to part of the customer's own cloud infrastructure, then there are more steps to configure. We provide that service for our customers. 

Everything is included in the license fee which is mid-range in terms of pricing.

The advantage of Snowflake is that you can focus on implementing things in Snowflake without tuning or configuring it. That's the advantage of this solution compared to others. Many other data warehouse solutions need some kind of maintenance or database administration, and that takes time. The extra time means you're being taken away from other things and in that regard, Snowflake is an absolutely great product.

I think the solution is suited to big companies because they tend to have lots of data. The more data you have, the more you need power and scalability to process it. I would recommend finding a good partner already familiar with the solution for implementation. It's good to have someone familiar with the architecture.

I rate this solution a 10 out of 10. 

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.