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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 (803)
Ansh S.
Fast, Scalable Data Analytics with Room to Improve Cost Clarity
Reviewed on Nov 10, 2026
Review provided by G2
What do you like best about the product?
I use Snowflake to manage and analyze large amounts of data in one central cloud platform and bring data from different sources together. I like its scalability, flexibility, and ease of use. It lets me manage large amounts of data without worrying too much about storage or infrastructure, and it processes queries quickly. I find virtual warehouses useful because I can adjust computing power to my needs, improve performance, and control costs. Snowflake also makes it easier to analyze data, share data, manage workloads, and generate reports. I like how it separates storage and computing and helps me handle different workloads efficiently. Setting up an account, accessing the platform, and setting up an initial database and virtual warehouse were manageable and straightforward.
What do you dislike about the product?
I think Snowflake’s user interface could be more intuitive, and I’d like clearer cost management tools with better insight into storage and spending.
What problems is the product solving and how is that benefiting you?
I use Snowflake to manage large amounts of data across systems in one central cloud platform, without worrying much about infrastructure or performance. I can run SQL queries, share data, and generate reports for useful insights, while scaling storage and computing to my needs and controlling costs.
Investment Banking
Easy to Use, Reliable, and Integrates Smoothly
Reviewed on Nov 05, 2026
Review provided by G2
What do you like best about the product?
Snowflake is easy to use and allows for many different levels of permissions. I have never had any technical issues with it and it has always worked as expected. I integrated it with Airtable and Salesforce, and it works just fine. I also play around with Codex and some other AI features every now and then.
What do you dislike about the product?
I think that the price is a bit elevated compared to some other competitors. I wish it could have clearer materials/doc on what each thing does so we can expand education on Data within the company/teams.
What problems is the product solving and how is that benefiting you?
Helping me to keep my business data centralized in one source of truth.
Dinesh B.
Powerful Data Platform for Modern Analytics and Data Engineering
Reviewed on Nov 05, 2026
Review provided by G2
What do you like best about the product?
Computing speed can be easily scalable up and down based on requirement. No need to worry about performance as it will be taken care of by Snowflake itself; high-volume data access via SQLs are very fast. More AI features added with semantic view, snow-park and agents.
What do you dislike about the product?
Slightly expensive compared to their peers. Need to have explicit control to share Agentic AI via snowPark
What problems is the product solving and how is that benefiting you?
Snowflake helps us address challenges around enterprise data integration, scalability, performance, and data accessibility. We bring data from multiple source systems into a centralized data platform and use Snowflake to build standardized raw, cleansed, harmonized, and semantic data layers for analytics and reporting. One of the key benefits is the separation of compute and storage. Different workloads can run independently using separate warehouses, which allows us to scale based on demand while minimizing the impact on other workloads. This is especially useful for large-volume data ingestion, transformations, historical processing, and concurrent analytical queries.
Ashley H.
Amazing Support and Easy Governance for Managing Our Analytics Sandbox
Reviewed on Nov 05, 2026
Review provided by G2
What do you like best about the product?
Their support teams are amazing and the governance tools make it really easy for me to manage our analytics sandbox.
What do you dislike about the product?
It’s not super intuitive and sometimes that can feel like it’s not user friendly
What problems is the product solving and how is that benefiting you?
It enables us to enable others to access data and self serve the insights they need so that we dont have to build every report for them
Anakin P.
Best in class cloud query performance with true storage
Reviewed on Nov 04, 2026
Review provided by G2
What do you like best about the product?
Easy data loading, transformation and querying, simplified development and testing with features such as data sharing, time travel and zero copy clones. Reduce time spent on tedious administration tasks. Share live, governed data sets securely between organizations, clouds or regions in an instant without duplicating or moving any physical files. Fast, responsive support with expert technical account managers to help solve complex data pipeline issues. Massive ROI with no hardware maintenance, fast query times and bringing together multiple data silos into one powerful data lake house.
What do you dislike about the product?
This can result in unexpected costs if long running queries, inefficient joins or out of control autoscaling compute warehouses are not monitored. Referential integrity is supported but not enforced. This means that duplicate records can occur if data quality checks are not put in place upstream. Debugging can be difficult at times due to vague error codes being returned on failed queries. Referential integrity is supported but not enforced. This means that duplicate records can occur if data quality checks are not put in place upstream.
What problems is the product solving and how is that benefiting you?
With its multi-cluster shared data architecture, Snowflake delivers completely separated storage and compute. It has auto scaling and auto pausing functionality so clusters will scale up or out based on query load and pause instantly when there is no load meaning we pay only for the precise amount of compute we use. The service is fully managed SaaS and many optimizations such as micro partitioning, meta data tracking and security patches are automatically handled via the cloud services layer so data teams can focus on building analytic pipelines.
Ajinkya J.
Intuitive Snowflake UI, Strong Azure Integration, and Excellent Support
Reviewed on Nov 04, 2026
Review provided by G2
What do you like best about the product?
Snowflake’s UI has improved quite a lot, and it’s intuitive to use. It integrates well with Azure Storage account containers and queues through integrations. Query performance can vary depending on the warehouse you choose. Pricing also varies based on the Snowflake account tier you have (such as Standard or Enterprise). Snowflake documentation and support are really good, especially when it comes to administrative work. It also has great AI capabilities with CoCo (Cortex Code).
What do you dislike about the product?
Some menus on the UI side are buried too deep, so navigating through them can be a task in itself for new users (and even for experienced people who haven’t used Snowflake in a while). This part of the UI needs improvement.
What problems is the product solving and how is that benefiting you?
We were looking for a data warehousing solution within Azure that supports multiple integrations, along with single sign-on and user role provisioning. Snowflake is a great solution that we found, and it has also been cost-effective for our needs.
Atul P.
Effortless, Scalable Data Collaboration with Snowflake
Reviewed on Nov 04, 2026
Review provided by G2
What do you like best about the product?
Snowflake’s biggest strength is how easily it lets teams work with data at scale. Separating compute from storage gives teams flexibility to run different workloads, while secure data sharing makes collaboration simpler.
What do you dislike about the product?
Basically Snowflake has added snwoflake dbt integeration, it can be modified bit in better and best use.
What problems is the product solving and how is that benefiting you?
Snowflake helps solve the challenge of bringing scattered data together and analyzing it efficiently. It reduces the effort spent managing infrastructure and performance, making it easier to get reliable insights, collaborate across teams, and make faster decisions.
Eva G.
Simple, Improved Interface and Easy Access via Claude
Reviewed on Nov 02, 2026
Review provided by G2
What do you like best about the product?
This is much better than what we used in the past. The interface is improved, it’s simple to use, and it’s accessible via Claude, which makes it easy to get to when I need it.
What do you dislike about the product?
Doing a migration from one database to Snowflake was a bit of a hassle, but it works better now.
What problems is the product solving and how is that benefiting you?
Having quick access to all our customer data is super essential in marketing. It helps us with segmentation, evaluating the performance of our campaigns, and understanding where our customers are and what they value.
E-Learning
Fully Managed and Low-Overhead—Lets Us Focus on Data and Analysis
Reviewed on Oct 30, 2026
Review provided by G2
What do you like best about the product?
Low operational overhead: It’s fully managed, which lets teams focus on data and analysis instead of spending time on database administration.
What do you dislike about the product?
There’s an initial learning curve, and at times it can feel difficult for new users.
What problems is the product solving and how is that benefiting you?
It solves the problem of data being scattered, slow to access, and difficult to scale.
Accounting
Gold-Standard ETL in Pure SQL—Fast, Easy Setup, and Great UX
Reviewed on Oct 29, 2026
Review provided by G2
What do you like best about the product?
Easy to setup for any kind of company. Gold standard for ETL using ecosystem tools like Fivetran or dbt. Easy adoption as it's purely SQL based. Pay as you go pricing with no infra setup and multi-year commitment. AI ecosystem is also evolving as pure SQL functions so that we don't need to do plumbing of low-level code to make it work. Top-notch performance of query and great user experience.
What do you dislike about the product?
Specifically the snowspark area. It has its own ecosystem but most of the work is done in SQL.
What problems is the product solving and how is that benefiting you?
ETL and Datawarehousing Realtime data Support enterprise BI layer Adhoc query Usecases dependent on analytical data already stored in snowflake