Snowflake AI Data Cloud
SnowflakeExternal reviews
686 reviews
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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
Cloud-Native Analytics Made Effortless and Scalable
What do you like best about the product?
Snowflake is a cloud-native data platform that removes infrastructure management and simplifies analytics.
It separates storage and compute for flexible scaling and cost efficiency.
With automatic optimization, strong security, and easy data sharing, it makes working with large data fast and reliable.
It separates storage and compute for flexible scaling and cost efficiency.
With automatic optimization, strong security, and easy data sharing, it makes working with large data fast and reliable.
What do you dislike about the product?
Snowflake can become expensive if warehouses are left running or queries aren’t optimized.
It also gives less control over low-level tuning compared to traditional databases.
Vendor lock-in is another concern since Snowflake features are tightly tied to its platform.
It also gives less control over low-level tuning compared to traditional databases.
Vendor lock-in is another concern since Snowflake features are tightly tied to its platform.
What problems is the product solving and how is that benefiting you?
Snowflake solves problems like infrastructure management, scalability, and slow analytics on large datasets.
By separating storage and compute, it allows fast, flexible scaling without impacting other users.
This benefits me by reducing operational effort, improving query performance, and enabling quicker data-driven decisions.
By separating storage and compute, it allows fast, flexible scaling without impacting other users.
This benefits me by reducing operational effort, improving query performance, and enabling quicker data-driven decisions.
Effortless Analytics and Fast Scaling with Snowflake
What do you like best about the product?
Snowflake is very easy to use and quick to implement compared to traditional data warehouses. I like how compute and storage are separated, which makes scaling simple and cost-efficient for different workloads. Integration with BI tools and cloud services is smooth, and query performance is consistently strong. Because of its simplicity and reliability, it’s used very frequently for analytics and reporting.
What do you dislike about the product?
Cost can become difficult to track, especially with frequent queries and multiple users running workloads at the same time. Some advanced features require a deeper understanding to optimize properly, and debugging performance issues isn’t always straightforward. While support and documentation are good, fine-tuning usage to control costs takes effort.
What problems is the product solving and how is that benefiting you?
Snowflake solves the challenge of managing and querying large volumes of data without worrying about infrastructure. It allows us to scale compute independently for different teams, avoid performance bottlenecks, and run analytics workloads efficiently. This reduces operational overhead, improves query performance, and enables faster insights for reporting and business decision-making.
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.
Easy Setup and Fast Performance, but Room for Improvement
What do you like best about the product?
What I like most about Snowflake is its ease of use and quick implementation. It is easy to set up, requires minimal infrastructure management, and offers excellent performance with automatic scaling. Running and managing queries is simple and efficient.
What do you dislike about the product?
One downside of snowflake is the cost, which can increase quickly if usage is not monitored properly. The separation of compute and storage can also make billing a bit confusing for new users.
What problems is the product solving and how is that benefiting you?
Snowflake helps solve problems related to managing large volumes of data, slow query performance, and data silos across teams. It allows us to store, process, and analyze data in one centralized platform without worrying about infrastructure management. This improves reporting speed, enables faster insights, and helps teams make better data-driven decision while scaling easily as data grows
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.
Powerful API Integrations, But Requires Expert Setup
What do you like best about the product?
API capabilities and connections to other software
What do you dislike about the product?
You need a dedicated team and expertise to implement and use properly
What problems is the product solving and how is that benefiting you?
massive data complexities involving records with thousands of columns
Innovative Features Elevate Snowflake Experience
What do you like best about the product?
New features of snowflake covering agentic ai, nlp , lifecycle policy
What do you dislike about the product?
Pace of changes are very fast and it is difficult to catch up
What problems is the product solving and how is that benefiting you?
Making analytics faster for our business
Effortless Scalability with Impressive Performance
What do you like best about the product?
I like that Snowflake is very scalable and appreciate the query performance using multi-cluster warehouse. I also found the initial setup to be very easy.
What do you dislike about the product?
The query history profiler could be a little bit faster.
What problems is the product solving and how is that benefiting you?
Snowflake eliminates the need for me to maintain the data, offers great scalability, and enhances query performance with its multi-cluster warehouse.
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