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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 (776)
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.
Pankaj K.
Easy, Efficient Data Extraction with Clear Database Insights
Reviewed on May 28, 2026
Review provided by G2
What do you like best about the product?
Snowflake lets me extract data easily and efficiently, and its clear UI/UX makes it simple to navigate while understanding the structure of databases and tables. It also integrates smoothly with the other tools we use, which helps streamline workflows and boosts overall productivity. In my experience, performance remains strong even with large datasets, and being able to scale resources up or down as needed adds solid value for the pricing. Onboarding is straightforward, with helpful documentation and support available whenever I need it. On top of that, Snowflake’s AI and intelligent features improve data analysis and make it easier to surface meaningful insights quickly.
What do you dislike about the product?
At times, Snowflake’s UI/UX feels a bit unintuitive when I’m working with complex queries, particularly if I’m leaning on the built-in AI features. The AI can occasionally produce incorrect code or fail to identify the right tables, which hurts productivity and adds extra rework. Integrations are generally solid, but when something breaks between tools, troubleshooting can be time-consuming.
Overall performance is usually good, yet inefficient AI-generated queries can still slow things down. From a pricing perspective, those inefficiencies may translate into higher compute costs, which then impacts overall ROI. On top of that, onboarding into more advanced features—especially the AI capabilities—can be challenging, and the available support or documentation doesn’t always fully cover these edge cases.
Overall performance is usually good, yet inefficient AI-generated queries can still slow things down. From a pricing perspective, those inefficiencies may translate into higher compute costs, which then impacts overall ROI. On top of that, onboarding into more advanced features—especially the AI capabilities—can be challenging, and the available support or documentation doesn’t always fully cover these edge cases.
What problems is the product solving and how is that benefiting you?
Snowflake helps address key business challenges by making it easier to manage and analyze large volumes of data efficiently. Its intuitive UI/UX simplifies exploring datasets and understanding database structures, which boosts productivity in everyday work. The platform’s strong integrations with other tools also streamline data pipelines and support smooth collaboration across teams.
From a performance standpoint, Snowflake runs large-scale queries quickly and can scale resources on demand, delivering consistent results as data needs grow. This scalability can also improve pricing and ROI, since you’re able to optimize costs based on actual usage. In addition, the onboarding experience and available support make it relatively straightforward to get started and gradually adopt more advanced features. Lastly, its AI and intelligence capabilities help with query generation and data analysis, accelerating insights while reducing manual effort.
From a performance standpoint, Snowflake runs large-scale queries quickly and can scale resources on demand, delivering consistent results as data needs grow. This scalability can also improve pricing and ROI, since you’re able to optimize costs based on actual usage. In addition, the onboarding experience and available support make it relatively straightforward to get started and gradually adopt more advanced features. Lastly, its AI and intelligence capabilities help with query generation and data analysis, accelerating insights while reducing manual effort.
Abhay K.
Fully Managed Snowflake That Scales Smoothly with Great Support
Reviewed on May 27, 2026
Review provided by G2
What do you like best about the product?
The best thing I like about Snowflake is its fully managed Software-as-a-Service model, which reduces development and maintenance efforts tremendously. Another feature I really value is the architectural separation of compute and storage, which allows independent scaling of resources and helps optimize operational costs based on real-time workload consumption. Snowflake also enables frictionless, secure data sharing across different business units and external organizations, without requiring physical data replication or complex ETL pipelines. We have integrated Snowflake with API integration implementational dn data moved swiftly without any delay/concurrency. The AI suggestions while building procedure it so matured that it saves lots of development time. Technical support team is very efficient and available on requests. The UI is very smooth
What do you dislike about the product?
The standard edition restricts users to single cluster warehouse with default concurrency level of 8. This limitation forced us to upgrade to enterprise edition with multi-cluster support with big cut on the project budget.
What problems is the product solving and how is that benefiting you?
Snowflake features like native data sharing make it much easier to centralize data and keep it accessible across teams. Not having to manually manage indexes, partitions, or vacuuming frees up a lot of development time, so I can focus on actual data integration instead. Overall performance of data processing is very fast which saves a lot of time to sync data in Snowflake.
Christian M.
Streamlined Reporting with Intuitive Design
Reviewed on May 26, 2026
Review provided by G2
What do you like best about the product?
I appreciate Snowflake's intuitive layout and design, which makes it easier to navigate and enhances data visibility. This better visibility simplifies reporting and analytics for me, making them easier to read. I also find the initial setup of Snowflake to be very easy, which is a big plus. Overall, I've been enjoying all the features of Snowflake.
What do you dislike about the product?
NA
What problems is the product solving and how is that benefiting you?
I use Snowflake to streamline and aggregate data, which helps with reporting. Its intuitive layout and design enhance data visibility, making analytics easier to interpret.
Aashima S.
Real-Time Dashboards and Strong Support for Structured Data
Reviewed on May 26, 2026
Review provided by G2
What do you like best about the product?
Store both structured and semi-structured data and provide real-time dashboards for monitoring
What do you dislike about the product?
It is expensive and sometimes less flexible for unstructured data
What problems is the product solving and how is that benefiting you?
Data Preparation, training data sets, regulatory data warehouses and for customer analytics the attribution modelling
Salman K.
One-Stop Platform for Advanced Data Projects
Reviewed on May 25, 2026
Review provided by G2
What do you like best about the product?
I use Snowflake to build end-to-end GenAI and ML projects, and I find it valuable because everything is available on one platform. Snowflake supports data engineering, machine learning, and GenAI, which are crucial for my work. I like how I can quickly access new market trend models and features to explore, and it's easy to integrate the most demanding features into our projects. The initial setup of Snowflake was very easy.
What do you dislike about the product?
So far, I don’t have any dislikes about Snowflake.
What problems is the product solving and how is that benefiting you?
I use Snowflake for building end-to-end GenAI and ML projects. It provides everything in one platform for data engineering, machine learning, and GenAI, making it easy to integrate demanding features quickly into projects.
Philip F.
Effortless Scaling with Great Data Sharing but Watch Costs
Reviewed on May 24, 2026
Review provided by G2
What do you like best about the product?
I really like Snowflake's elastic scaling; it's my favorite part. We can run huge queries without managing servers, and it pauses automatically, so we only pay for what we use. The data sharing feature also works great. Sharing live data securely with partners avoids copying and keeps everyone synced on one version of the truth. Snowflake integrates well with the common stack; we use dbt for transformations, Airflow for orchestration, Looker and Tableau for BI, and Python for data science work. We moved from Redshift to Snowflake, which made scaling easier and separated storage from compute, cutting a lot of the cluster management headaches we had before. The setup was quick for the basics, and we had a warehouse running and data loading in under an hour.
What do you dislike about the product?
Cost can spike if queries aren't optimized, since you pay per compute second. The UI for permissions and roles is also clunky and takes time to get right.
What problems is the product solving and how is that benefiting you?
Snowflake handles scaling data storage, accelerates analytics, unifies siloed data, and reduces infrastructure costs for growing data teams.
Information Technology and Services
Powerful, Fully Managed Data Warehousing and Analytics with Snowflake
Reviewed on May 24, 2026
Review provided by G2
What do you like best about the product?
Following 3 new things we are exploring and adopting in POC
Built-in dbt: We can now build and track all our data models directly inside Snowflake. This is great because my team no longer has to set up or maintain separate servers just to run our transformations. Everything happens in one place.
Simple Data Ingestion: We used to pay for extra tools just to move data into our system. With Snowflake’s new built-in connectors, we can bring in data from hundreds of sources easily, which saves us money and cuts down on "tool bloat."
Easy AI Integration: In the past, using AI meant moving data to a separate database, which was a security and infrastructure nightmare. Now, we can run powerful AI models (like Claude) directly on our data within Snowflake’s secure walls.
Built-in dbt: We can now build and track all our data models directly inside Snowflake. This is great because my team no longer has to set up or maintain separate servers just to run our transformations. Everything happens in one place.
Simple Data Ingestion: We used to pay for extra tools just to move data into our system. With Snowflake’s new built-in connectors, we can bring in data from hundreds of sources easily, which saves us money and cuts down on "tool bloat."
Easy AI Integration: In the past, using AI meant moving data to a separate database, which was a security and infrastructure nightmare. Now, we can run powerful AI models (like Claude) directly on our data within Snowflake’s secure walls.
What do you dislike about the product?
Frequent UI changes in mid of Project: They change the web interface layouts too often without warning. For example, right in the middle of a major dashboard delivery, my team logged in to find the query history and menu buttons had moved. We ended up losing half a morning just retraining people on where to find basic tools.
poor Errors log management: When external connections break, the system error logs don't give enough detail. Recently, a client's BI tool stopped pulling data, and the log just gave a generic communication error. My engineers spent two days testing network rules and user permissions back-and-forth before realizing it was just a simple API token issue on the other tool's side.New Features without documentation" They release advanced tools too quickly before the documentation is fully ready. We wanted to build a quick prototype using their new Cortex AI search features, but the official setup guides were so thin we had to put the project on hold for two months until other developers posted clear tutorials online.
poor Errors log management: When external connections break, the system error logs don't give enough detail. Recently, a client's BI tool stopped pulling data, and the log just gave a generic communication error. My engineers spent two days testing network rules and user permissions back-and-forth before realizing it was just a simple API token issue on the other tool's side.New Features without documentation" They release advanced tools too quickly before the documentation is fully ready. We wanted to build a quick prototype using their new Cortex AI search features, but the official setup guides were so thin we had to put the project on hold for two months until other developers posted clear tutorials online.
What problems is the product solving and how is that benefiting you?
Before Snowflake, our data was scattered across different systems for website traffic, payments, and order tracking. It was a mess to manage manually. Snowflake solved this by bringing everything into one secure cloud platform.
Here is how it makes my life easier as a project manager and benefits our business:
Faster Decision-Making: We no longer waste time moving files around. My team was able to build real-time dashboards incredibly fast. Now, leadership can instantly see our top-selling products, regional customer hotspots, monthly growth, and buying trends.
Smarter Marketing: Using the built-in Snowflake Cortex AI tools, we set up customer sentiment and behavior analysis. This gives our marketing team the exact data they need to forecast trends and plan future campaigns with confidence.
A Complete All-in-One Solution: From an IT and management standpoint, it solves multiple headaches at once. It handles our storage, computing power, strict security roles, and disaster recovery in one place. It has completely removed the technical friction from our e-commerce operations.
Here is how it makes my life easier as a project manager and benefits our business:
Faster Decision-Making: We no longer waste time moving files around. My team was able to build real-time dashboards incredibly fast. Now, leadership can instantly see our top-selling products, regional customer hotspots, monthly growth, and buying trends.
Smarter Marketing: Using the built-in Snowflake Cortex AI tools, we set up customer sentiment and behavior analysis. This gives our marketing team the exact data they need to forecast trends and plan future campaigns with confidence.
A Complete All-in-One Solution: From an IT and management standpoint, it solves multiple headaches at once. It handles our storage, computing power, strict security roles, and disaster recovery in one place. It has completely removed the technical friction from our e-commerce operations.
Praveen K.
Scalable, Fast, and Secure Data Analytics Platform
Reviewed on May 24, 2026
Review provided by G2
What do you like best about the product?
I like Snowflake for its very fast query performance and good integration with ETL and BI tools. I also enjoy the secure data sharing capabilities across teams and projects. It supports semi-structured data like JSON, which makes data ingestion easier from APIs and applications. Auto-scaling is a big plus, saving time because we don't need to manually manage servers during high workloads. The ability to seamlessly scale up or down based on data load is crucial and Snowflake excels in this. It works well with major cloud platforms like AWS, Azure, and GCP. I appreciate its high performance for SQL queries and analytics, which helps business teams get reports quickly for decision-making. Its strong support for analytics and reporting workloads is impressive, and I find it a very good choice for large-scale data processing.
What do you dislike about the product?
One challenge with Snowflake is cost management. Some areas that could be improved include better cost optimization and monitoring features and improved real-time streaming support for some use cases. There's also a high dependence on cloud connectivity. Specific difficulties in cost management include virtual warehouses that may keep running even when no queries are executing, difficulty in identifying which queries or users are causing high costs, and heavy queries consuming more compute credits.
What problems is the product solving and how is that benefiting you?
Snowflake efficiently handles large data, improves query performance, and reduces infrastructure maintenance. It allows storing, processing, and sharing data securely, supports diverse data types, and enables separate workloads without interference, enhancing team collaboration.