Snowflake Reviews

It was only a workshop with training to know the tool. We were just testing the technology, and it was just a demo of the tool. We wanted is to connect switches with IoT and use Snowflake as an engine to process all the big data. It was on top of AWS, but our infrastructure is on top of the Google Cloud Platform.

The intention was to see if we can process on the front-end that we have. We have a console that processes a big amount of data. Instead of using BigQuery, we used Snowflake to see if it is cheaper than using BigQuery, but Snowflake wasn't cost-effective. In the end, we didn't go for this solution. We just saw how it can be implemented, but we never bought anything.

We don't have a metric, but I would say that the processing time was a key benefit and value-add. It provided on-time processing.

Its speed and performance were the most valuable. Easy configuration of Snowflake in any cloud was also a benefit.

Its pricing or affordability is one of the big challenges. Pricing was the only thing that we didn't like about Snowflake. In terms of technical features, it is a complete solution.

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

It was not complex. Our implementation strategy was to put Snowflake on top of Google Cloud solutions instead of BigQuery, but BigQuery was better in price. So, BigQuery won in this case instead of Snowflake.

We got the guidance directly from Snowflake. They have a technical expert for Latin America.

We used Snowflake to see if it is cheaper than using BigQuery. It was just to maintain the cost or the KPI regarding the cost of connectivity by users. Snowflake wasn't cheaper than BigQuery, and its affordability was the main issue. 

My advice is to consider Snowflake when you have more customers. I wouldn't consider Snowflake until I have sufficient customers. 

Whether we will consider Snowflake in the future depends on how BigQuery behaves. If the cost of BigQuery starts increasing and becomes similar to Snowflake, we're going to switch. If not, we're going to remain with BigQuery. 

We might also consider other similar solutions, such as Yellowbrick, or switch to another cloud solution, such as Azure or AWS, depending on the price. Right now, we are paying about $2,000 per month. Our goal is to have the total cost of everything to be around $3,000 per month. It is more or less our goal for KPI kind of thing.

I would rate Snowflake an eight 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.

We are a management consulting firm and do not use this product for ourselves. Rather, it is a service for our clients.

The overall package is quite nice, and there is not one specific feature that I have found more valuable than the others.

The vendor is quite willing to implement requests for development, in particular for larger clients. It is a nice company to work with.

Every product has room for improvement, although in this case, it needs some broadening of the functionality. They could become more complete.

Including more AI functionality would be nice. Microsoft does have more in this regard, although that also has to do with the size of the company.

We have been using Snowflake for a couple of years.

Snowflake is a stable product.

This is definitely a scalable solution.

The technical support is pretty good, particularly if you are a more technical user. The people they have are quite technical, so compared to a lot of other companies where you first get somebody on the phone who has never seen the product, but he or she just works at the center and has to answer the first calls, if you connect with Snowflake, you immediately get somebody who is actually at the proper level.

It also means that if you have less experienced users, it's not that they find it difficult, but then they may get some questions to resolve the issue, which they don't really know the answer to. Sometimes, users may find themselves a bit lost because they don't know how to answer those questions. However, it's not in a negative way. It's more like you get a proper engineer to respond to your issues with Snowflake.

The price of Snowflake is quite reasonable.

Personally, if I have the choice, I would rather recommend Snowflake to my clients over a product from Microsoft, for example. They have some overlapping functionality, but they also have some separate stuff. Snowflake does not have the size to develop at that pace but personally, I find them a more sympathetic company than Microsoft.

I would rate this solution an eight out of ten.

We use the solution for data. We like that there are so many different formats and many structures for analysis.

The architecture we'll be using due to being on the cloud will assure we have less to do. There will be no indexing, for example. Everything's managed by the servers. That way, we can focus on the data warehouse and on the data.

From a data warehouse perspective, it's an excellent all-round solution. It's very complete.

The user interface continues to be an issue, especially when we need to get data out of Snowflake. It's very easy to get data in, but it's not too easy to get it out or extract it.

It would be nice to have some built-in solutions that would solve. for example, how to delete data from a customer when they request it.

There needs to be stronger data protection.

I've been using the solution for just a bit less than a year at this point.

Our clients have been very impressed with the solution's overall stability.

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.

I've only contacted technical support a handful of times. I have, however, found them to be very savvy product-wise and very helpful. Their technical support staff are all experts. They know the product extremely well.

The initial setup is very straightforward. I wouldn't describe it as complex.

How long it takes to deploy depends on your knowledge and your background. It's difficult to judge. I've been working for 20 years now with data warehouses. For me, it was very easy because of my extensive background. However, it depends on what someone knows, and their technical background. It can be difficult for others who maybe don't have as much knowledge or first-hand experience with warehouses.

We're partners with Snowflake. We support our customers and can help them implement it as necessary.

The solution has an excellent pricing strategy. The costs are open and transparent. If you don't use it, you don't pay for it. It's that simple.

We're partners with Snowflake.

The difference between Snowflake, and, for example, Azure, is that there is real separation between the computer and storage. Snowflake is the only one that's really separate and it's much simpler to scale or shift data. It makes everything much easier.

One of the best options on the market right now is to have a cloud-only setup. Not everyone is using the cloud, but everyone will catch up.

I'd rate the solution nine out of ten. If the user interface was better and they had a few more features and did some useability tweaks it would be perfect. Also, it's hard to get the data out of Snowflake, and that's a real issue design-wise.

We primarily use the solution for data warehousing.

The entire managed service operations for the solution is great. Snowflake does everything for us. Whatever version they have, they implement the latest for us; we don't have to worry about any versions, any upgrades, anything else because they handle it.

The solution should offer an on-premises version also. We have some requirements where we would prefer to use it as a template. 

The integration capabilities could be improved.

The solution has been very stable for us.

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.

Technical support is good. Occasionally, they take a bit of time to resolve issues, but other than that they are okay. We're mostly satisfied with them.

We're system integrators, so we use different solutions including SQL Server Data Warehouse and Greenplum as well as Snowflake at the moment.

I've used many data warehouse solutions, including Hadoop, and Oracle SQL Server Data warehouses. I switched from those to Snowflake because Snowflake is on the cloud and gives you separate computing and storage scalability, which Hadoop is unable to offer.

The initial setup is straightforward. There's no deployment; it's just your code solution that needs to get up and running. You have a deal with Snowflake in terms of what environment you want, and when you want to use it, and they'll set it up within a day for you.

Snowflake helped us with the implementation.

We are system integrators, so for all our customers, we offer different solutions.

We only use the cloud deployment model. Snowflake doesn't offer on-premises deployments.

Snowflake on cloud is the best right now. There are only a few other options. Redshift is not scalable. With SQL Data Warehouse the concurrency is an issue, as well as scalability. Also, it does not have all the features that you see in an on-premises SQL Server.

Snowflake a good database. I'd recommend the solution to others.

I'd rate the solution seven out of ten. We are still new to the solution. There are a few things we still have to explore before we would give it 10. Typically, I come from a Hadoop background, so compared to Hadoop I think everything looks good before the data warehouse side. We're quite pleased with Snowflake and moving from Hadoop into Snowflake has been a very good transformation.

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.

I work for a company that are Snowflake partners and help clients implement solutions using Snowflake.

Snowflake solves many of the challenges that traditional data warehousing tools have such as a lack of agility, scalability and fine-tuning.

The use of micropartitions and metadata means that there is very little management needed and the user can focus purely on actually getting value out of their data. In addition, the cloning feature makes problem resolution and cutover extremely pain-free.

Whilst flexibility is one of its key strengths, it would be useful if there could be some better governance built into the product. In addition, functionality out of the box to deal with common data warehousing scenarios (e.g. slowly-changing dimensions etc.) would be great.

I have been using Snowflake for about a year and a half.

It is extremely stable.

The support from Snowflake is absolutely great. All kinds of content and things are available to support yourself as well as to be able to talk through issues and have their engineers take a look at the problems. They are very responsive.

We use Snowflake alongside other data warehousing tools. Ultimately it depends on what the client wants to implement and their existing architecture as to what would be the best choice.

The initial setup is very straightforward.

Snowflake has a very efficient pricing mechanism where you only pay for what you use by the second making it very easy to control costs.

The best advice I would give is to push for a POC. Pick a couple of use cases where you think you could quickly get value and just see how quickly you can get it implemented. One of the key features of Snowflake is that you can get it up and running straight away. 

We are using it for optimizing costs and using financial data.

It is a cloud solution with many useful features. It has the data science capability. It can transform data and prepare data for a data science project with scalability.

We would like to be able to do modeling with Snowflake. It should support statistical modeling.

I have been using this solution for more than a year.

It is stable.

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

I have not contacted their support.

I used Cloudera One about two years ago.

It is easy. It is a SaaS solution, so there is no installation. Therefore, you don't need the infrastructure team, but you need a few data analysts.

It is pay-as-you-go. Its cost is in the medium range.

I would rate it a 10 out of 10.