Snowflake Analytics Reviews

We use the product for revenue analytics.

Snowflake Analytics opened up larger possibilities from a business perspective for our organization. Its virtualization feature has helped us significantly.

The product's valuable feature is an ease of use. It can run complex workloads with varied compute.

The platform's data governance space needs more capability. There could be AI-driven features and human interactive queries, i.e., natural language queries rather than standard SQL.

We have been using Snowflake Analytics for a few years.

I rate the platform's stability a ten out of ten.

We have around 500 Snowflake Analytics users in our organization. It is a scalable product. We continuously increase the usage as our business expands.

The technical support services are good. However, there could be knowledgeable support and faster response.

Positive

The initial setup was easy. The initial sandbox workload was up and running within a day. The additional configurations related to single sign-on took less than a week to complete.

We have all essential implementation tools available in-house to deploy the product. We do not require any external deployment packages.

The product's pricing is subjective. Snowflake operates on a credit basis. Thus, we can get licenses on pre-purchase credit. We get better discounts on larger purchases.

We explored a few products before.

I rate Snowflake Analytics an eight out of ten. If there is a good amount of data sharing, Snowflake is the right platform. I advise others to start with a small amount of data and then optimize it to set up the right data size.

We have chosen Snowflake to meet customer expectations. Some customers expect a partnership, while others primarily use migrations. They are using streaming data from an on-premises tool. The customer uses an existing system and partners with on-premises partners; we migrate them into the cloud system.

We migrated from Oracle and Zoom to Snowflake using the AWS Group.

One of the key advancements in Snowflake Analytics is data sharing. There are real-time data and survival protection data. If you want the same data, you have to migrate it. You have to move it over to the other place. So, you can now have a copy of the data. You can use it for UAT and development activities.

The backup features are a major aspect of our use of Snowflake for streaming processes. It plays a significant role in our migration process due to the need to export customer data. While the existing system operates primarily in batch mode, the migration process for exporting customer data can now be accomplished using a streaming process.

Implementing everything on-premise is challenging because it require proper support from advisors, DBAs, and others. However, with cloud implementation, there are fewer technical barriers.

I have been using Snowflake Analytics for over a year.

The product is stable.

I rate the solution's stability as seven out of ten.

Our customer's daily transaction data amounts to 75 million records. Previously, we worked with the same customer using a red chip. They're using automatic node increase. We spend a lot of money for the storage activities.

The problem has been completely sorted out with auto-scaling. It automatically adjusts the storage capacity, which means the customer doesn't need to overspend, particularly on storage.

We have proper support. It analyzes user greetings and reports and addresses the issue.

Neutral

We are using the vendor or tenant. We can automatically connect to a source system. There are different connections available. Default connections are deferred. There are multiple source system connectors. We can use those connectors to pull data from various source systems, whether on-premise or in the cloud. Previously, the job was to use the existing built-in character to pull the data, do some budgeting, perform more strategic actions, and load it into the attack.

Initially, we need to set up applications and other necessary components; then, it becomes easier to migrate other things. On-premises setups are more rigid, making deviating from the initial plan challenging. Therefore, we cannot proceed with that approach. Instead, we can opt for the CACH model, which focuses on development and implementation, particularly in the latest tools and technologies.

Snowflake Analytics’s technical and domain aspects are crucial. Both are the most important for improving other products and adding customer value. In such cases, even a few customized elements can take us far. We have some use cases in the requirements we implemented in the process. So, we are using various technologies. The most important things we need to build are customer tools.

Many new features have been added to Snowflake, making it a completely cloud-based system. It's a modern data warehousing solution that incorporates many new technological aspects. 

I recommend Snowflake. If you opt for the red chip, you'll have to spend more on storage. You can avoid these additional costs. It supports data injection and retrieval from various sources, ensuring rapid integration. It offers seamless transition support if users migrate to other platforms like Azure or AWS. There are no limitations on promoting various concepts.

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.

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.

We use this solution to move on-prem data to a cloud data warehouse where we have a requirement for more computation storage or when we need a plugin to work with specific technologies like ML, AI and Data Science. 

The advanced features like time travel, zero copy cloning and scalability have been most useful. Snowflake requires zero maintenance for Data Warehousing on the cloud system. It is more secure compared to any other data platforms that we have used. The tri secret key is the feature that gives a lot of confidence to customers. 

Moving data from legacy systems to Snowflake is not that easy. There are some cases where processors are not actually compatible with Snowflake. If Snowflake could offer compatible versions of other legacy system objects, that would be more convenient for anyone to move to Snowflake. 

When comparing MySQL with Snowflake, MySQL is faster in executing the complex queries compared to Snowflake. This is the only factor where Snowflake lags behind competitors in the market.

I have been using this solution for four and a half years. 

This is a scalable solution.

The customer service and support for this solution is good. We had previously failed to retrieve data after the time travel period. We had to raise a ticket with technical support team and they helped us. They charged us for this but were able to help us retrieve it.

Positive

The initial setup is straightforward. The beauty of Snowflake is that you can select the configuration you need. For example, if you have a requirement of a one terabyte load with high availability and 10 users, Snowflake will set it up for you to match these requirements. 

The ROI you receive using this solution depends on your use case and if you are starting from scratch or migrating from a legacy system. We have experienced a 40 to 50% improvement in ROI compared to legacy systems.

When using Snowflake, you pay based on your usage. They calculate how much CPU has been used. If you use excess warehouse storage, you are charged one credit per hour. If you are in Asia, you are charged $3 per credit. If you have 10 users running parallel with the same excess, you will be charged $30. 

Pricing for storage is calculated in the same way. You will pay upfront for the storage that you know you will need to consume. There is this option of prepaid consumption as well as post paid consumption. If you pay upfront, you will charged $20 per hour, per terabyte. If you paying after use, you will be charged $40 per terabyte.

There is close to zero maintenance required for this solution. 

You don't need to use traditional warehouses, vacuuming or indexing. A database administrator or system admin is not required.

I would rate this solution a nine out of ten. 

Using Snowflake, I can say it is built as a robust solution. Also, its analytical functioning is really quick.

Using Snowflake to load data from different sources is a valuable feature of the solution.

The solution needs to consider including some updates in the future. There is a need to add some new features to the solution to facilitate my work with Snowflake.

I have been using Snowflake Analytics for a year and two months. I'm using it because I'm a data engineer, and so I am a customer of Snowflake.

In my experience, I didn't face any crashes or anything related to data. So I think it's stable.

It's a scalable solution because you can analyze a huge amount of data in the solution. In my company, around ten developers are using the solution.

The initial setup is easy because it is a cloud solution. So you don't need to install anything. You can just connect to your account and write SQL queries or write the procedures. So you can manipulate it on the website directly, and also it's user-friendly.

The solution has some gold and premium plans, which I read in its documentation.

I would tell others to use the solution if it is available for them on the cloud since I think it's very easy to manipulate data and work with it. Also, it is not very difficult because it is based on SQL queries, JavaScript, and Python.

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

We use the product to generate insights. 

I am impressed with the product's data-sharing feature. 

The tool should support EIM use cases. I guess the product is already working on it. I look forward to seeing inbuilt AI generative tools in the solution's future releases. The tool's price can be a little lower. The solution's on-premises support is also very limited. We have to rely on other support services to deploy it on-premises. 

I have been working with the solution for four years. 

I would rate the product's stability a nine out of ten since it is stable and reliable. 

I would rate the tool's scalability a nine out of ten. My company has more than 1000 users for the tool. 

The solution's support responds fast. 

Positive

I would rate the solution's setup a nine out of ten. Being a SaaS product, the setup is straightforward. The solution's setup becomes complex only when you need to create a specific cloud platform which is virtual or public. If you have a CI/CD pipeline ready, then deployment can be automated. The tool's deployment doesn't take more than a day to complete. 

The solution's price is high and I would rate it an eight out of ten. 

I would rate it an eight out of ten. The solution is very easy to use. The tool is a SaaS product. You can leverage your overall data analytics strategy with the solution. It has a lot of features and you shouldn't consider it for data storage alone. In the future, we will be able to leverage the solution of ML-oriented used cases as well. 

We use the Snowflake platform for analytics and for data integration. We are partners with Snowflake. I'm the managing director. 

The solution auto-scales and provides concurrency. You can have different virtual warehouses without them impacting each other. It's flexible and infinitely scalable because it's on the cloud. 

For modeling of data as well as for AI and predictive analytics, they need to improve their integration into different Python and Jupyter notebooks. That is lacking but I understand they're working on it. 

The solution is stable. 

The solution is easily scalable. 

Technical support is good, they'll escalate tickets if need be and they'll get engineers on board if that's what's required. 

The initial setup is straightforward, just click the button. 

The cost depends on the size and on what you're using. I've had customers who spend a million dollars a year and customers that spend $20,000 a year. If you're not using it, it shuts off and you're not paying anything. 

I would recommend starting small and growing into it. Don't overbuy. If you're going to get discounts and you're going to buy a block of credits for the year, make sure you need those blocks because you're not going to peak until the second or third year of implementation. It's easier than a traditional environment and allows for focus on the value that can be provided.

I rate this solution 10 out of 10.