Snowflake Analytics Reviews

I use the tool for data warehousing, analytics, and machine learning.

The most valuable feature of the solution Stems from the fact that the tool offers a virtual warehouse along with multiple other features.

Snowflake's Snowpark is an area of concern where improvements are required. Snowflake's Snowpark is a pretty new concept. Snowflake's Snowpark should improve my adding new libraries and getting the codes deployed quickly.

I have been using Snowflake Analytics for more than five years. I am an end user of the product. I am also a developer who builds platforms for others with the help of Snowflake Analytics. There is no version of the product in general, as it is a full-fledged product.

It is a stable solution. Stability-wise, I rate the solution a ten out of ten.

The scalability of the product is pretty good. It is a highly scalable product. I rate the product's scalability a nine out of ten. Users can scale up or scale out the solution.

I use the solution daily in my company.

Presently, there aren't many uses of the solution in my company. In the future, I believe that the number of users of the product in my company will increase.

My company is in contact with a technical person from Snowflake Analytics, who helps us. I rate the technical support a seven or eight out of ten.

Positive

I have experience with Oracle, Microsoft SQL Server, and AWS.

My company started to use Snowflake Analytics since we did not want to have an on-premises product. Snowflake Analytics was also cost-effective for our company.

I rate the product's initial setup phase an eight or nine on a scale of one to ten, where one is a difficult process, and ten is an easy process. The setup process is straightforward.

The deployment requires users to have an account, and since it is a SaaS solution, Snowflake Analytics manages all the Infrastructures based on which the tool provides the user login details. The user creation is also pretty smooth with the product, so a user can start using it quickly.

The solution is deployed on the cloud services offered by AWS.

The solution can be deployed in a week, along with the licensing part.

For the deployment of the product, one architect from Snowflake, one person from AWS, and two admin developers, are required.

For my current project, a third-party involvement was there in the installation phase of the product. Previously, I was involved in the product's installation process, which involved the licensing part and setting up of the environment.

I rate the product price a seven on a scale of one to ten, where one is low price, and ten is high price. There are some additional costs based on the number of users or data warehouses.

Against Snowflake Analytics, my company has an option called Databricks. For our company's primary use cases, we prefer Snowflake Analytics.

Snowflake Analytics has supported our company's data warehousing and analytics part by helping us reduce our overall costs involved in such areas. The product also offers a better performance than the on-premises tools that are available.

Snowflake Analytics has improved our company's data-driven decision-making processes since the go-to-market timeline has been reduced with the use of the product. Earlier, the go-to-market timeline was such that my company used to take over a month to get new data for the end users. My company can get the data within a week or before, allowing users to use it for their analytics. The tool has reduced the go-to-market timeline.

The benefits from the product's scalability and performance features stem from the fact that it helps with the costs and reduced go-to-market timeline to get things up and ready for the end users, which is drastically much less than what the on-premises products offer.

The product's maintenance can be taken care of by two people.

The scalability of the product has impacted our company's data-driven decision-making since I have a lot of data with me currently. For initial loads, my company uses small warehouses, but after a while, it will be big warehouses. Based on the aforementioned details, my company makes data-driven decisions, like how much warehouse size we need or whether we need to scale up or scale out.

Snowflake Analytics is better than the other platforms that work on either a cloud or an on-premises version. Snowflake Analytics can improve in areas like scalability and in the way the queries are written.

Snowflake Analytics is pretty easy to use with the connectors for integration with the tools and systems in my company.

Others who plan to use the solution can benefit from it. I recommend others consider or try out a PoC phase or exploration process of the product to see whether the tool fits their use cases.

I rate the overall tool an eight out of ten.

In my company, we use Snowflake Analytics for the data lake process and data mining and not for data analytics. We use the solution for reporting and management capabilities.

My team describes Snowflake Analytics as a good solution, and our clients are also satisfied with the tool. Developers also find the product to be good since they have been able to do what we have received as a request till now.

Considering everything I have accessed, the product's dashboard is good since it provides multiple good options, including customization options. We can create the permissions or roles allowing us to give what we want to someone else.

I cannot comment on the product's stability because we are still struggling with its performance. The issues with its performance might possibly be due to how its setup phase got carried out by our company, but I am unsure about it. I cannot blame Snowflake and its architecture or application since our side might have caused the issues because we are new to the tool.

Snowflake can consider the aforementioned details for improvement.

I have been using Snowflake Analytics for six months. I am using the solution's latest version.

Scalability-wise, I rate the solution an eight out of ten.

Direct users of the tool in our company are around 12 percent to 15 percent of the employees since we use one of our background services for data load.

There has not been much interaction from my end with the solution's technical support. I rate the technical support an eight out of ten.

Positive

The solution is deployed on the cloud. We have our own cloud, like a SaaS model, and it is a private cloud.

Snowflake Analytics is a good tool based on the PoC phase and how we have implemented it in our company. Based on the comments and feedback from many, it looks like a good tool. Any company can use Snowflake Analytics, and it can be helpful.

The product is good, depending on how the developer can make it usable.

Overall, I rate the tool a nine out of ten.

I use Streamlit apps and Snowflake Analytics for analytics, data warehousing, migration, creating reports, and segregation. It is used to create reports for analytics for users.

We don't have to transfer the data as Snowflake's data sharing capabilities allow us to handle data more efficiently. It stands out against the other tools in the market.

The most important feature is the warehouse functionality. Increasing the warehouse size helps cater to large amounts of data without worrying about performance issues.

When we insert data into a large table, it takes a lot of time. This performance issue can be improved.

I have been using Snowflake Analytics for almost four years. I have used it myself.

If you increase the size of the warehouse, the performance is taken care of. It scales well with large data volumes.

We don't handle the price part. However, our customer is happy with our services regarding Snowflake Analytics.

I would recommend Snowflake Analytics, even with the performance issue related to large table insertions.

I'd rate the solution eight out of ten.

In one project, the vendor also uses Snowflake for analytics, housing the data within their Snowflake instance. Previously, we retrieved this data via FTP and then employed a Python program to read and load it into our tables. However, by leveraging Snowflake, we can now directly access this data.

Snowflake provides multiple development tools. You can build applications with Snowflake and integrate them with Java and Python. You can write code in Python and Java and use secure features.

Some functionalities available through SQL are inaccessible in Python or Java within Snowflake. Snowflake must enhance its support for these programming languages to offer full flexibility and capacity, allowing developers to use them.

Currently, there are restrictions. For example, using Spark Engine with Snowflake allows you to write code but not call external functions or packages. Snowflake must improve its programmatic capabilities to support better engineers and developers, especially those transitioning from big data technologies.

I have been using Snowflake Analytics for two years.

Snowflake Analytics offers scalable data warehousing solutions that can effectively handle large volumes of data. Increasing the capacity of the data warehouse can enhance its scalability, making it more adept at capturing and managing big data.

The organization is completely focused on moving its processes and data to Snowflake. Once this is done and the business starts consuming and extracting data from Snowflake, value realization will occur.

Initially, we began with our SaaS platform on AWS. When transitioning data from AWS to Snowflake, we found a seamless integration between the two platforms, making it easier to access data from Snowflake. This integration retrieves and uses data, contributing to the wide acceptance and adoption of Snowflake Analytics.

The data creation and consumption teams have separate roles, allowing for a clear delineation of responsibilities. This ensures the consuming team only accesses the products or data relevant to their tasks. We maintain efficient data management and security by creating roles for the consumer team and providing access accordingly.

Data-driven decisions have improved significantly. Previously, we had multiple small copies of the data scattered across different locations. With Snowflake, we've consolidated everything into one golden copy of the data. Someone who needs a subset of that data can create views or access specific subsets directly. This setup allows us to track who has access to the data and its origin. Consumers don't need to go to multiple places to get the data. They know the central location to access or request the data and the available data products. This centralization will help in making more informed, data-driven decisions.

I recommend Snowflake Analytics if you are looking for a reliable and well-regarded solution. It has gained significant traction in the market. Snowflake is an excellent choice for analytics purposes. While companies need to research other available tools, Snowflake is a good option.

Overall, I rate the solution an eight out of ten.

My company uses Snowflake Analytics for data lake, data warehouse, data mart, and other related stuff.

Features like the fact that the solution is very fast and available on the cloud are some of the valuable attributes of the solution.

We are satisfied with the solution since Snowflake brings in a lot of new features now and then.

The solution's high price can be an area of concern that needs improvement.

I have been using Snowflake Analytics for four years. My company has a partnership with Snowflake Analytics. I am using the solution's latest version.

Scalability-wise, I rate the solution a nine out of ten.

Around 50 users use the solution in my company.

Our company's clients consist of medium and enterprise-sized businesses.

The support provided by Snowflake is fine since they are fast and helpful. I rate the technical support an eight out of ten.

Positive

I rate the setup phase a nine or ten on a scale of one to ten, where one is difficult and ten is easy. The solution's setup phase was easy.

The solution is deployed on the cloud.

The deployment time taken for the solution was six months.

There was nothing much involved in the deployment process. The deployment process involved just exporting the base objects.

On a scale of one to ten, where one is a low price, and ten is a high price, I rate the pricing a seven. The solution's pricing is high.

There are no costs in addition to its standard licensing price.

After considering the pricing part of the solution, those planning to use it can start using it. The pricing of the solution falls on the higher side. Feature-wise, the solution is really good. If a company can afford the tool, the solution is good in its category.

Overall, I rate the solution a seven out of ten.

I primarily use it in the realm of machine learning products and general data analytics.

What I find most valuable about Snowflake is that it is an all-in-one platform that provides the capabilities needed for various analytics tasks, including data warehousing for machine learning. It is incredibly user-friendly and requires minimal maintenance, making it a convenient choice for handling data analytics and machine learning workloads efficiently.

One area that could benefit from enhancement is the user interface for more visual ESM features. Improving the visual representation of security components, like boxes and links, could make it easier to understand and manage security aspects within the platform.

I have been using Snowflake Analytics for three years.

It is a quite stable solution. I would rate it as a ten out of ten for stability.

Snowflake is scalable, but its limits are connected to the cloud resources it uses. These cloud resources can restrict how much data you can handle and store, affecting the extent of scalability. I would rate it as a ten out of ten for scalability.

I find Snowflake's technical support to be highly responsive. They are exceptionally quick to address issues, especially when they are critical, with response times typically less than thirteen minutes. I would rate the support as a nine out of ten.

Positive

Snowflake is a fully cloud-based service that doesn't require installation or complex configuration. It is an online platform where you define parameters and create users, tables, and objects without the need for extensive maintenance or operational tasks. Setting up Snowflake is typically a quick process, taking just a matter of minutes to prepare for use.

Snowflake can save a considerable amount of time, with potential time savings often reaching 50% or more for various data-related tasks. However, the exact percentage depends on the specific tasks and data complexity, so it can vary.

Snowflake offers a pay-as-you-go pricing model among other options. It is an affordable solution. I would give it a nine out of ten in terms of affordability.

Overall, I would rate Snowflake Analytics as a ten out of ten.

It is a cloud data warehouse. We use the solution in our organization for setting up data warehouses, building tables, and querying from the tables.

The product lets us build tables.

Time Travel and Snowpipe are good features. The rest of the features are standard.

The tool must provide better machine-learning functionalities.

I have been using the solution for five years. I am working with the latest version of the solution.

The solution is fairly stable. It doesn't crash. We don't get any incidents in Snowflake. I rate the stability a ten out of ten.

I rate the product’s scalability a six or seven out of ten. Scaling costs a lot of money. It could be improved. Less than ten users use the product in our organization for demo purposes. We use it once a month. We do not have plans to increase the usage in the future.

The technical support is not very good. I rate the support a two or three out of ten. The tool does not provide a straight support line that we can use unless we're a very big partner. It's very hard to get support from the team. We have community support, but it's not good for big incidents.

Negative

We also use BigQuery and Redshift. We have different customers that use different data warehouses. We use Snowflake when our customers advise us to use it. Snowflake is more stable than BigQuery.

The tool is quite easy to set up. I rate the ease of setup an eight out of ten. It's a cloud-based solution. We're partners of AWS, GCP, and Azure. We use all three of them. It takes half an hour to deploy the solution. To deploy the product, we must create Snowflake accounts and set it up with the cloud provider of our choice. Then, we get an email with our access to Snowflake, and we can start using the data warehouse and do anything with it. It's quite easy to use.

The deployment can be done in-house. We need one person to deploy the tool and two or three people to maintain it. People maintaining the solution monitor the costs and ensure the warehouse is the right size.

The product must improve its pricing model. We must scale it up considerably to get a good value. The tool is quite expensive. The product must provide a pay-as-you-go pricing option. I rate the pricing an eight out of ten. If we run big workloads in Snowflake, it will be more expensive than both BigQuery and Redshift.

People considering the solution must evaluate it against all the other options to see whether they need to use it. They must look at the alternatives depending on their cloud provider. If they're on Microsoft Azure, then Snowflake is the best option. However, if they're using Google Cloud, they should consider BigQuery. If they’re on AWS, they must consider Redshift. The tool has helped us with a few customer case studies. Overall, I rate the product a seven or eight out of ten.

We use it for our full application operational analytics, including building, storing, and analyzing the data. It provides us with detailed insight, making it easy to extract needed reports. Everything related to business intelligence, whether it's reporting or analytical modules, is stored on the Snowflake Analytics platform.

It's an intuitive platform that allows organizations to rapidly adapt, providing the ability to quickly analyze and make data-driven decisions. It ensures the optimization of the application development while maintaining the user-friendly nature of its UI.

Machine learning should be improved. Some of the solutions, such as Databricks, offer an option to directly write and integrate Python code on the spot, but Snowflake doesn't have that feature yet. Adding it would be useful, as it would facilitate building models.

I have been working with Snowflake Analytics for a year.

It is a stable platform.

It offers good scalability.

I am highly satisfied with their level of customer service and support. I would rate it nine out of ten.

Positive

The initial setup was done seamlessly.

There was no requirement for installation. They provided us with a link, giving us access to the cloud.

It is an expensive solution, but the kind of usability and flexibility it proactively provides for the organizations justify the price.

Snowflake Analytics is a really good choice for organizations that are looking at a cloud analytics platform for reporting, data modeling, and advanced analytics without machine learning requirements.