Snowflake Analytics Reviews

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.

It's primarily used for data migration, platform organization, and advanced analytics. As an Elite Partner, we provide consulting services to various customers.

It's a fast, 100% SaaS data cloud offering, which is unique in the market. Snowflake is available on all three major cloud providers: AWS, Azure, and GCP.

The UI could be more user-friendly.

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

I would rate the stability a ten out of ten. 

I would rate the scalability a ten out of ten. 

The support is very good. The documentation is very robust, a large online community and a dedicated support team is available.

Positive

I have experience with Microsoft Azure. I was working on the on-premises, and I was looking for a SaaS offering, that's why switched to Snowflake. 

Deployment is straightforward as it's a SaaS product. No maintenance required.

Overall, I would rate the solution a nine out of ten. I would definitely recommend using this solution. 

I mainly use Snowflake Analytics for Power BI reports.

Snowflake Analytics' most valuable feature is its inbuilt infrastructure for executing queries, which I don't have to manage based on my data volume as it's taken care of by Snowflake.

End-to-end execution of jobs isn't possible with Snowflake, which means we have to do some customization. Allowing sequential flow of orchestration would be an improvement. In the next release, Snowflake should include direct integration and communication between other cloud systems.

I've been using Snowflake Analytics for over a week.

Snowflake Analytics is stable.

Snowflake Analytics is scalable.

The initial setup was straightforward, and I would rate the process as four out of five.

Snowflake Analytics is a little more costly than Azure.

Snowflake Analytics is more managed than other cloud offerings, which means I don't have to deal with anything happening in the backend. For those thinking of implementing Snowflake, I advise analyzing the cost, your volume of data, and the number of users. If you have a huge demand on these things, I would recommend choosing Snowflake. I rate Snowflake as seven out of ten.

We use Snowflake Analytics for data cataloging, data science, and managing sales development.

It is quite a convenient tool and has a user-friendly authentication feature.

The platform could work easier for AI implementation compared to Databricks.

I have been using the platform for six months.

We have ten Snowflake Analytics users in our organization.

Compared to Snowflake, changing the data and gaining insights from the application development process while working with Databricks is simpler. It has a more user-friendly and accessible toolbox.

I rate Snowflake Analytics a seven out of ten. It is a good and useful platform. I recommend it to others. We can automate data pipelines using it. I advise others to make sure it meets their business requirements.

We use Snowflake Analytics to organize data. We create a fact and dimension table, relate it using its cardinality, load it from the source and use it for reporting.

It helps with business intelligence by providing analytics that can be reported.

There are issues while loading data from Snowflake Analytics to the Power BI reporting, and it doesn't get loaded directly. Sometimes we need to use queries to fix it, but it affects our reporting. Snowflake Analytics should be easily loaded into the reporting tool because it is the final end tool.

We have been using this solution for four months.

I cannot speak to stability because our data is not yet 100% loaded. It is a continuous ongoing process.

It is a scalable solution. In my organization, about four people, along with our clients, use Snowflake Analytics. So about four to eight people are using it. So far, it is not difficult to maintain the solution.

The initial setup was straightforward, neat, understandable and clear. We did the deployment in-house.

I do not have details about the licensing costs.

We did not review any other solution before Snowflake Analytics.

I rate this solution an eight out of ten. It is a wonderful tool. It easily organizes data, makes it accessible, loads it from the pipeline and helps with reporting.

There are a lot of use cases for Snowflake. We can use it to build data pipelines. We can also use it to process terabytes of data to generate real-time analytics.

The computational power of Snowflake is very good. We get results very fast. Snowflake also has very good connectors for building pipelines. It makes it easy to connect to different cloud solutions.

Snowflake should include a WHERE clause for building data pipelines. When we create pipelines, Snowflake does not provide the WHERE clause. So the data transformation does not take place. We have to dump data as it is and transform it into the pipeline. If the WHERE clause is included, it will be very beneficial in the future.

I have been using Snowflake for around two years.

Snowflake is a stable product.

Snowflake is a scalable solution.

Snowflake’s technical support is good.

The initial setup was very straightforward. It is not very complex. If you are building something which requires customized queries or stored procedures, it is a little complex.

Initially, we faced some syntactic problems during setup. Then, there were some concerns about the WHERE clause. Apart from these, we did not face any other problems.

I went through the product documentation and deployed the solution myself. The deployment took one or two days. There were many different phases in the deployment strategy. I joined the team during deployment.

Using Snowflake, we can dump data through data pipelines and generate analytics. I do not belong to the sales team, so I do not know about the pricing information of Snowflake. I rate Snowflake an eight out of ten.