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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Effortless, Scalable Data Warehousing with Snowflake
What do you like best about the product?
I like best about Snowflake is how it makes advanced data warehousing simple, fast, and scalable without heavy infrastructure work.
What do you dislike about the product?
If warehouses are left running or queries are poorly optimized, credit consumption increases fast. Cost control needs discipline.
What problems is the product solving and how is that benefiting you?
Traditional databases struggle when data and users grow. Snowflake’s separation of compute and storage lets me scale performance instantly without impacting other users.
Benefit to me: Faster queries and no conflicts between ETL jobs and BI dashboards.
Benefit to me: Faster queries and no conflicts between ETL jobs and BI dashboards.
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.
Effortless Scalability and Integration for Fast-Paced Analytics
What do you like best about the product?
Snowflake stands out for its ease of use and instant scalability—we can right-size compute in seconds without complex infrastructure, while maintaining strong governance and encryption for sensitive safety data. The multi-cloud flexibility and tight integrations with BI/ETL tools mean our data engineering and analytics teams move faster with less friction.
What do you dislike about the product?
Everytime, we load the data for analytics purposes, it has to be loaded completely. It is not good for few use cases like Sensor data wherein realtime decision making is required. Also, it has cost structure which is complex. We don't know we are really spending money on.
What problems is the product solving and how is that benefiting you?
Previously, data was scattered across spreadsheets and multiple systems, making reporting slow and error-prone. With Snowflake, we can ingest data from Azure Data Factory, maintain clean schemas, and scale compute instantly for analytics. This enables faster incident trend analysis, proactive risk identification, and compliance reporting. The biggest benefit is time-to-insight—regulatory requests that used to take days now take hours, and dashboards in Power BI update in near real-time for site leadership
Outstanding Performance and Simplicity for Modern Data Platforms
What do you like best about the product?
Snowflake’s performance and simplicity stand out. Features like automatic clustering, micro-partitioning, and zero-copy cloning reduce operational overhead while still delivering high query performance. The platform is easy to manage compared to traditional data warehouses.
Finally, Snowflake’s strong ecosystem and cloud-native capabilities—including secure data sharing, time travel, and seamless integration with tools like DBT and cloud services—make it highly effective for building modern, scalable data platforms.
Finally, Snowflake’s strong ecosystem and cloud-native capabilities—including secure data sharing, time travel, and seamless integration with tools like DBT and cloud services—make it highly effective for building modern, scalable data platforms.
What do you dislike about the product?
What I dislike about Snowflake is primarily related to cost predictability and control. While the platform scales very well, it is easy for costs to increase unexpectedly if warehouses are not carefully managed or if inefficient queries run at scale.
Another limitation is reduced transparency and control at the infrastructure level. Compared to open-source or self-managed systems, debugging deep performance issues or understanding low-level execution behavior can be challenging.
Lastly, for certain use cases, vendor lock-in can be a concern. Snowflake’s proprietary features and SQL extensions make migrations to other platforms more complex, which requires careful architectural planning upfront.
Another limitation is reduced transparency and control at the infrastructure level. Compared to open-source or self-managed systems, debugging deep performance issues or understanding low-level execution behavior can be challenging.
Lastly, for certain use cases, vendor lock-in can be a concern. Snowflake’s proprietary features and SQL extensions make migrations to other platforms more complex, which requires careful architectural planning upfront.
What problems is the product solving and how is that benefiting you?
Snowflake solves the problem of scalability and operational complexity in data warehousing by providing a fully managed, cloud-native platform that separates compute from storage. This eliminates the need for capacity planning, infrastructure management, and manual performance tuning that are common with traditional warehouses.
It also addresses performance bottlenecks and concurrency issues. Multiple teams can run ETL jobs, analytics, and ad-hoc queries simultaneously using separate virtual warehouses without impacting each other. This directly benefits me by ensuring consistent query performance even during heavy workloads.
Additionally, Snowflake simplifies data sharing, governance, and reliability through features like secure data sharing, time travel, fail-safe, and automatic optimization. As a result, I can focus more on data modeling, pipeline reliability, and analytics use cases rather than infrastructure maintenance, leading to faster development and more dependable data delivery.
It also addresses performance bottlenecks and concurrency issues. Multiple teams can run ETL jobs, analytics, and ad-hoc queries simultaneously using separate virtual warehouses without impacting each other. This directly benefits me by ensuring consistent query performance even during heavy workloads.
Additionally, Snowflake simplifies data sharing, governance, and reliability through features like secure data sharing, time travel, fail-safe, and automatic optimization. As a result, I can focus more on data modeling, pipeline reliability, and analytics use cases rather than infrastructure maintenance, leading to faster development and more dependable data delivery.
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.
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.
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