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Snowflake AI Data Cloud
Snowflake powers the end-to-end data lifecycle, from ingesting and processing data to analyzing and modeling it, to building and sharing data and AI applications, helping engineers, analysts and leaders innovate faster and achieve more with their data, all within a unified platform and connected ecosystem. Get started today with a 30 day free trial which includes $400 worth of free usage.
Reviews (782)
Financial Services
Super Helpful for Connecting Tools in Our Daily Routine
Reviewed on Jul 24, 2026
Review provided by G2
What do you like best about the product?
It is super helpful to connect the tools
What do you dislike about the product?
nothing to add. super helpful in our daily routine.
What problems is the product solving and how is that benefiting you?
connections, it quickly log in.
John D.
Secure, Scalable, and Fast—With a Simple UI and Great Support
Reviewed on Jul 22, 2026
Review provided by G2
What do you like best about the product?
it eliminates local storage while maintaining security and safely protecting or data. It's also pretty speedy when and easy to scale. the UI is very simple to navigate and support is very good. My favorite piece though is the introduction of CoCo AI assistant.
What do you dislike about the product?
Snowflake is continuously changing and evolving so things that are disliked are generally corrected pretty quickly. The main annoyance now is remembering to switch AI models when starting new conversations with CoCo.
What problems is the product solving and how is that benefiting you?
Snowflake gets us quick access to our data and gives us the ability to dive into deficiencies and process opportunities.
Alpesh G.
Efficient, Scalable, But Needs Better Cost Management
Reviewed on Jul 22, 2026
Review provided by G2
What do you like best about the product?
I use Snowflake primarily for data warehousing and analytics, and I find it helps me manage large volumes of structured and semi-structured data efficiently with seamless scalability. I appreciate the separation of storage and compute, which allows me to optimize costs while maintaining performance, especially for running complex queries and supporting multiple workloads simultaneously. What I like most about Snowflake includes its ease of use, data sharing capabilities, performance, innovative features, and cloud-native design. The initial setup was fast and simple with minimal configuration, clear documentation, and smooth integrations, allowing the team to work on data pipelines and analytics right away. Additionally, Snowflake's scalability makes it easy for multiple teams to work efficiently without resource conflicts.
What do you dislike about the product?
I find that costs can spike unexpectedly, and I believe better forecasting tools would help. The advanced features have a steep learning curve, so guided workflows could ease adoption. Some integrations require custom work, and more native connectors would reduce the effort. Query optimization can be opaque, so more transparency would benefit advanced users.
What problems is the product solving and how is that benefiting you?
I use Snowflake to manage large data volumes efficiently, solving scalability challenges and performance bottlenecks. It eliminates data silos and simplifies cost management with its separation of storage and compute, facilitating complex queries and supporting multiple workloads.
Ravindra N.
Elastic Scaling and Fast Analytics with Snowflake
Reviewed on Jul 20, 2026
Review provided by G2
What do you like best about the product?
What I like most about Snowflake is its ability to separate storage and compute, which makes it easy to scale workloads without impacting performance. This architecture allows multiple teams to query the same data simultaneously while optimizing costs and maintaining fast query execution. Independent scaling of compute and storage for better performance and cost control. Excellent query performance, even with large datasets. Seamless integration with major cloud providers, BI tools, and data engineering platforms. Secure data sharing capabilities without copying or moving data. Minimal infrastructure management, allowing teams to focus on analytics instead of database administration. For me, the most valuable feature is the elastic scaling of virtual warehouses. I can allocate additional compute resources for demanding workloads and scale them back when they're no longer needed, improving both efficiency and cost management. The biggest benefit is improved productivity. Snowflake simplifies data warehousing, accelerates analytics, and enables teams to access and analyze large volumes of data without worrying about infrastructure or performance bottlenecks.
What do you dislike about the product?
The biggest drawback is cost management. While Snowflake's pay-as-you-go model is flexible, it's easy for compute costs to grow if resources aren't monitored carefully or workloads are not optimized. Heavy dependence on cloud infrastructure means organizations with strict on-premises requirements may have fewer deployment options.
What problems is the product solving and how is that benefiting you?
Snowflake solves the challenge of storing, managing, and analyzing large volumes of data without the complexity of maintaining traditional data warehouse infrastructure. Its cloud-native architecture enables organizations to scale compute and storage independently while supporting analytics, data engineering, and AI workloads from a single platform. Centralizes data from multiple sources into a unified platform for analytics. Separates compute and storage, allowing workloads to scale independently. Delivers fast query performance for large datasets without extensive infrastructure management. Enables secure data sharing across teams and external partners without duplicating data. Integrates easily with BI tools, ETL pipelines, and machine learning platforms. In my workflow, Snowflake helps simplify data analysis by providing a reliable and scalable environment for querying and processing large datasets. Instead of spending time managing database infrastructure, I can focus on building reports, analyzing data, and supporting data-driven decision-making. The biggest benefit is improved scalability and faster analytics. Snowflake reduces operational overhead, accelerates data processing, and enables teams to generate insights more efficiently while adapting to changing business demands.
Marketing and Advertising
All-in-One, Scalable Data Platform with Easy AI and Strong Integrations
Reviewed on Jul 17, 2026
Review provided by G2
What do you like best about the product?
Its single tool for ETL, data processing, analytics, AI and dashboard. Super easy to use especially using AI. Highly integration with other applications liker AWS, GCP etc. Its performance is high and scalable as can process peta scale of data. The pricing is market competitive and support from Snowflake is effective. I like the learning tutorials and on demand class.
What do you dislike about the product?
It don't know alot of integrations to bring data like social media platform integrations etc so need a separate tool or self written scripts.
What problems is the product solving and how is that benefiting you?
For data reporting and transformation for peta scale data.
Suman K.
Blazing-Fast Queries and Seamless Big Data Integration
Reviewed on Jun 30, 2026
Review provided by G2
What do you like best about the product?
The company has done wonders in bringing the whole experience of consuming and transforming big data down. I’m biased to this because it’s extremely fast querying, scalable, decoupling compute from storage to address a number of workloads and, simply, because of how well it integrates into our data processing pipelines and analytics suite.
What do you dislike about the product?
Be mindful of your pricing since usage costs for compute can add up. Many of the advanced functionality and performance optimizations also require some ramp time for a new user to pick up.
What problems is the product solving and how is that benefiting you?
Snowflake allowed us to consolidate and reconcile our data, significantly simplifying the ways that we managed and consumed it to deliver analytics insights. We saw tremendous improvements in how much time we spent preparing our data, as well as faster query times to provide better insights to the business – on a growing scale without the corresponding cost in staff or infrastructure.
Financial Services
Fast Code Execution with Results in Seconds
Reviewed on Jun 17, 2026
Review provided by G2
What do you like best about the product?
The most often to not quick functionality of running code. Most of the time, depending on the data in the query, the results come back in within a few seconds.
What do you dislike about the product?
Although the error messages are helpful in giving you a clue at what is wrong with your code, they are not 100% accurate. Sometimes they reference the wrong line for where the error is, and sometimes it give s the wrong error reason.
What problems is the product solving and how is that benefiting you?
Snowflake allows my company to pull data from different data tables and sources into one accessible space and allows for easy download/visibility.
Lucas T.
The platform that finally made our data easier to work with
Reviewed on Jun 15, 2026
Review provided by G2
What do you like best about the product?
When our company started collecting data from more systems, it became difficult to keep everything organized and accessible. Snowflake helped us bring those datasets together without forcing us to constantly manage infrastructure. What I enjoy most is the flexibility. Our analysts can run complex queries while data engineers continue building pipelines without getting in each other's way. Performance has remained stable even as our data volume has grown significantly over time.
What do you dislike about the product?
Because the platform is powerful, it takes some time to understand the best practices for storage and query optimization.
We also had to pay closer attention to usage monitoring in the beginning to avoid unexpected consumption costs.
We also had to pay closer attention to usage monitoring in the beginning to avoid unexpected consumption costs.
What problems is the product solving and how is that benefiting you?
Teams would spend a lot of time reconciling numbers instead of analyzing them. After moving key datasets into Snowflake, everyone started working from the same source of information. Reporting cycles became faster and collaboration between analytics and engineering teams improved noticeably. The business now gets insights much quicker than before, which helps leadership make decisions with greater confidence.
Hemanthreddy Vakiti
Optimized data warehousing has transformed daily reporting and now supports timely business decisions
Reviewed on Jun 06, 2026
Review provided by PeerSpot
What is our primary use case?
As a Data Engineer, I primarily use Snowflake for data warehousing tasks as well as ETL processing, and sometimes I also use it for data sharing. I personally find Snowflake better than other tools because one of the biggest benefits is how compute and storage are separated in it, allowing different teams to run workloads independently without affecting each other's performance. In that way, I find Snowflake more useful than other tools.
For example, I am part of an ETL team, which is transitioning from Informatica to GCP B-Cloud, so there are a lot of transitioning and tech remediation happening presently in our project. We use Snowflake to verify whether the data has been loaded and shared with the business users daily through Informatica, checking how much data is shared. We also verify this using GCP to see how much data is sent to the users, allowing us to determine whether the transitioning is happening perfectly or if we need to add any more constraints. Additionally, for maintaining data warehouse tasks in our restaurant project, we receive data continuously and must produce sales reports for the business users at the end of the day by the EOD flag, utilizing data warehousing steps to store a huge amount of data from the past 10 to 15 years of sales data, so we use Snowflake for that.
My main use case is for data warehousing, ETL process, and data sharing; these are the main tasks where we use Snowflake.
What is most valuable?
One of the best features I appreciate is how the computing and storage are separate in Snowflake, so that in our project with multiple teams, around 15 to 20 teams, all of them can use Snowflake without affecting each other's work due to the separation of compute and storage. Another key feature is scaling and performance optimization; based on the amount of data we receive, we can easily scale Snowflake without requiring any special requests to be raised to the team. For instance, during weekdays, the data would be less compared to weekends, so we reduce the storage somewhat during weekdays, saving us a huge amount of money.
This separation of compute and storage allows us to scale compute resources independently based on our requirements while keeping storage costs negligibly low. The automatic scaling and performance optimization are very important for any data engineering tool, and Snowflake offers this, allowing it to scale down when the amount of data is less and to automatically scale up when the data is high. Additionally, I appreciate the special features such as Time Travel and secure data sharing.
Since we are using Snowflake, it has improved the speed and reliability of our analytics processes, which is key to any data engineering or data warehousing project. Prior to using this cloud data warehouse, reporting jobs often competed for resources, causing delays and sometimes making business users wait for more than hours to receive data during peak times. With Snowflake, different teams can separately use the same data without affecting one another, and the data sharing has become more user-friendly. The performance tuning and scalability have positively impacted our organization as well.
Before using Snowflake, business users received data during peak hours at around 9:00 p.m. to 10:00 p.m., causing a three to four hours time wastage, but since we transitioned to Snowflake, that time is easily utilized for other tasks. Now, during both peak hours and normal days, data is available to business users daily at 6:00 p.m., making that three to four hours available for analytics, helping them make better business decisions.
What needs improvement?
One main area for improvement in Snowflake is cost visibility and optimization; while it's flexible and scalable, costs can increase quickly if warehouses are left running unnecessarily or workloads are not monitored carefully, raising the costs of the tool. The automatic scaling should be more optimized to work well with varying data levels. Another improvement could focus on recommendation capabilities and integrating an AI tool for better user onboarding without extensive documentation.
All the performance is generally excellent, and we have never experienced any crashes. However, query optimization could use improvement, and adding built-in guidance for workload management would be beneficial. If Snowflake integrates with an AI tool, new users can navigate the tool more easily by prompting the AI.
For how long have I used the solution?
I have been using Snowflake for the past one year.
What do I think about the stability of the solution?
All the performance is generally excellent, and we have never experienced any crashes.
What do I think about the scalability of the solution?
The automatic scaling should be more optimized to work well with varying data levels.
What other advice do I have?
Anyone with prior knowledge in SQL and data engineering can easily use Snowflake. To understand the tool better, you can go through the documentation provided on Snowflake's website or use tutorials on YouTube before utilizing the tool. The user interface is very user-friendly, making it easy for new users to find it useful. I would rate this product an 8 out of 10.
Harshil A.
Snowflake Simplifies Data Management at Scale
Reviewed on Jun 01, 2026
Review provided by G2
What do you like best about the product?
What I like best about Snowflake is how easy it makes working with large amounts of data without having to manage infrastructure. The separation of storage and compute allows teams to scale resources independently, which improves performance and cost efficiency. I also appreciate its user-friendly interface, fast query performance, secure data sharing capabilities, and strong integration with modern data tools. Overall, Snowflake helps organizations access, analyze, and share data more efficiently, enabling faster and better business decisions.
What do you dislike about the product?
What I dislike most about Snowflake is that costs can sometimes be difficult to predict, especially when compute resources are scaled up or used inefficiently. While the platform offers strong performance and flexibility, organizations need to monitor usage carefully to avoid unexpected expenses. New users may also face a learning curve when managing warehouses, permissions, and optimization settings. Overall, the benefits are significant, but cost management requires ongoing attention and planning.
What problems is the product solving and how is that benefiting you?
What I like most about Snowflake is that it helps solve challenges related to managing and analyzing large volumes of data. By providing a scalable and centralized platform, it reduces infrastructure complexity, improves query performance, and enables faster access to insights. This benefits me by making data analysis more efficient, supporting better decision-making, and allowing teams to collaborate more effectively across the organization.