I have used Snowflake for an end-to-end data solutioning as a warehouse, including all its capabilities such as ingestion and any implementations that were needed.
Snowflake AI Data Cloud
SnowflakeExternal reviews
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Best Cloud Data Architecture with Impressive Results
What do you like best about the product?
It has best architecture for cloud data , result oriented
What do you dislike about the product?
Time taking for output and it's autoupdate
What problems is the product solving and how is that benefiting you?
Cloud based data storage , data sharing
Intuitive Framework, Needs Script Flexibility
What do you like best about the product?
I use Snowflake for pulling, cleaning, and required functions, and I find it easy to use and implement SQL queries with this platform. I appreciate the framework, which is easy to understand, and the layout it displays is great, with the left side full of tables, the center for queries, and the bottom running the query and displaying the output. The initial setup was pretty chill, and I would rate my likelihood to recommend it as a 9 out of 10.
What do you dislike about the product?
I will say, for dynamic scripts especially columns - it won’t automatically add new columns in dynamic scripts. We can only do this for rows, not for columns. It should be flexible in the script to allow these kinds of dynamic scripts.
What problems is the product solving and how is that benefiting you?
I find Snowflake easy to use for implementing SQL queries and working with its intuitive layout, which displays tables, queries, and outputs clearly.
Scalable and Easy-to-Use Cloud Data Platform
What do you like best about the product?
What I like best about Snowflake is its **simplicity and scalability**. It separates compute and storage, which makes performance tuning easy and allows workloads to scale independently. The platform is easy to manage, requires minimal maintenance, and supports fast querying with strong security and data sharing capabilities, making it very efficient for modern data analytics.
What do you dislike about the product?
One drawback of Snowflake is cost management, as usage-based pricing can become expensive if queries and compute resources are not carefully monitored. Additionally, there is limited control over low-level system tuning compared to traditional databases, which can be a challenge for highly specialized performance optimizations.
What problems is the product solving and how is that benefiting you?
Snowflake solves problems related to scalability, data silos, and complex data infrastructure management. By providing a fully managed, cloud-native platform with separate compute and storage, it simplifies handling large and diverse datasets. This benefits me by enabling faster analytics, easier data sharing across teams, reduced operational overhead, and the ability to focus more on data insights rather than infrastructure maintenance.
Intuitive and User-Friendly Experience with Snowflake
What do you like best about the product?
I find Snowflake to be quite intuitive and user-friendly. The interface makes it simple to locate everything I need.
What do you dislike about the product?
I find the new UI rollout a bit uncomfortable, as I preferred the old layout for organizing things more effectively.
What problems is the product solving and how is that benefiting you?
I work in data integration, and we use Snowflake both for integrating our data and for data warehousing to support our analysis needs.
Excellent Data Warehousing Solution
What do you like best about the product?
Snowflake is a great data warehousing tool.
What do you dislike about the product?
Snowflake can have high incurring cost at times.
What problems is the product solving and how is that benefiting you?
Everything related to data warehousing.
Blazing Fast Data Processing for Large Volumes
What do you like best about the product?
It's processing time of huge number of records in short time
What do you dislike about the product?
There is a lag of 24 hrs of sync of data between external system and snowflake
What problems is the product solving and how is that benefiting you?
It is helping in running reports which will take long time to run in excel
Supports real-time pipelines and testing through dynamic features and flexible data replication
What is our primary use case?
What is most valuable?
Snowflake has evolved significantly over time. Initially, they started with scalability, but more recently, they have introduced streaming capabilities, real-time and dynamic tables, along with various connectors.
Snowflake is well integrated with other solutions. I have used the Snowflake Zero-Copy Cloning feature in the past while prototyping data in lower environments. This feature is helpful as it saves a lot of time during the data replication process.
I have utilized the Time Travel feature multiple times while conducting testing. I have typically used the Time Travel feature for testing to see what the state of data was at a specific point in time. This feature is helpful, and Snowflake also has good RBAC policies with masking capabilities and policies that can be implemented.
Snowflake's data sharing capabilities are good for enhancing collaboration within the team. Additionally, Snowflake has introduced Snowpark and AAML integration, which makes it feasible to perform CICD operations.
What needs improvement?
Snowflake is currently stable, but it can be improved further. They have a couple of information schemas that can track account usage. If more connectors were brought in and more visibility features were added, particularly around cost tracking in the FinOps area, it would be beneficial.
I think the pricing for Snowflake is fair, and customers need to cautiously monitor their usage, as that is the customer's responsibility.
For how long have I used the solution?
I have worked with Snowflake for more than five years.
What do I think about the stability of the solution?
Snowflake is currently stable.
What do I think about the scalability of the solution?
Recently, Snowflake has introduced streaming capabilities, real-time and dynamic tables, along with various connectors.
How are customer service and support?
I have not had a direct interaction with Snowflake's customer service or technical support. I have only interacted with them for billing calls, and those interactions have been fine without any challenges.
How would you rate customer service and support?
Positive
What other advice do I have?
I have not explored multi-cloud deployment in Snowflake extensively enough to understand how it impacts an organization's data strategy for cost, performance, or compliance. I can rate Snowflake an eight out of ten based on my limited encounters with their support team, as those interactions have been positive. My company are customers only, not partners of Snowflake. I would rate this product nine out of ten overall.
Have prioritized security while managing multi-agent data migration and cloud adoption
What is our primary use case?
In terms of solutions such as security, automation, or monitoring, security is prime. In agentic, I am building the agentic assets. From a data migration perspective, we are building the multi-agent accelerator which will help to migrate legacy data to a cloud platform or new platform, such as Databricks and Snowflake. Everywhere security is a prime concern nowadays. Nobody will allow you without the security assurance.
Regarding assessing Snowflake's data sharing capabilities in terms of enhancing collaboration, currently there isn't end-to-end or B2B sharing of data.
What is most valuable?
We utilize Time Travel with Snowflake because this is a very useful feature. Everyone finds it crucial because in conventional data platforms, it's very difficult to handle these kinds of things. This feature is essential, though I don't have the use cases currently; it is just there for implementation.
Regarding Snowflake's automated scaling and suspension features, this auto-scaling is very significant. We had a comparison with Databricks and Snowflake a few months back, and this auto-scaling takes an edge within Snowflake; that's what our observation reflects.
What needs improvement?
If I were to rate support, I would say it's about an 8 or 9. There is always room for improvement. What things you are going with to ask the support and how we manage the relationship matters a lot. Overall, we are very happy with Snowflake support.
For how long have I used the solution?
I have been familiar with Snowflake since the last three to four years because within Genpact we have started using it.
How are customer service and support?
I am satisfied with the work of technical support from Snowflake; they are responsive and helpful.
How would you rate customer service and support?
Positive
What other advice do I have?
This is a service industry, service company.
Regarding satisfaction with pricing for Snowflake, I'm not in detail about Snowflake. I'm managing all the agentic world for the last two years, GenAI agentic. I don't have much insight on that part. The actual licensing is managed by the COE leads working with the sourcing team.
I rate Snowflake 8 out of 10.
Powerful platform for handling large data workloads easily !
What do you like best about the product?
I like how effortless it is to scale up or down based on workload. Queries run fast and the separation of storage and compute keeps performance consistent even when multiple users are active. The interface is clean and the integration with BI tools like Power BI and Tableau works perfectly for analytics projects.
What do you dislike about the product?
Costs can climb quickly when queries run continuously. Some monitoring options feel limited unless you use external tools. The learning curve for role management is also a bit tricky at first.
What problems is the product solving and how is that benefiting you?
It solved our data silos problem by centralizing everything in one warehouse. Different teams now access the same clean data without duplication. It saves hours each week since we don’t have to export or transform files manually. Collaboration between analytics and engineering teams is smoother which helps deliver reports faster.
Good decision for cloud data warehousing
What do you like best about the product?
Depending on the size of your warehouse, we can handle a large amount of data without performance issues. This would be very difficult with an on-prem server.Further, the separation of storage and compute helps with resource management.Additionally, we're a Tableau shop, and Tableau has a built-in connector with Snowflake that is reliable and efficient.
What do you dislike about the product?
Cost management can be challenging. This is where the size of the warehouse comes into play (see What do you like best about Snowflake?). If you optimize the size of your warehouse small, costs will be smaller. Along these lines, it's best to understand credit usage early to make sure you're managing effectively. But overall, few negatives that can't be managed with some forethought.
What problems is the product solving and how is that benefiting you?
Our infrastructure is quite complex, but since Snowflake is fully managed, we no longer have to worry about provisioning or ongoing maintenance. This allows our data architecture team to focus on more valuable work, while our data analytics team benefits from uninterrupted access, as maintenance issues no longer cause downtime. Scalability is another key advantage—Snowflake efficiently processes large volumes of data without requiring our architecture team to oversee the infrastructure. This not only saves time but also enables quicker queries, even as our total data volume increases. Ultimately, this leads to faster project scaling, quicker insights, and allows us to devote less effort to managing our data strategy.
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