# Snowflake Reviews **Vendor:** Snowflake, Inc. **Category:** [Data Warehouse Solutions](https://www.g2.com/categories/data-warehouse) **Average Rating:** 4.6/5.0 **Total Reviews:** 741 ## About Snowflake Snowflake makes enterprise AI easy, efficient and trusted. Thousands of companies around the globe, including hundreds of the world’s largest, use Snowflake’s AI Data Cloud to share data, build applications, and power their business with AI. The era of enterprise AI is here. Learn more at snowflake.com (NYSE: SNOW). ## Snowflake Pros & Cons **What users like:** - Users find Snowflake to be **very user-friendly** , simplifying data analysis without the hassle of infrastructure concerns. (89 reviews) - Users appreciate the **scalability** of Snowflake, finding it simple and efficient for various workloads and analytics. (68 reviews) - Users value the **efficient data analysis** capabilities of Snowflake, enabling quick insights without operational complexities. (67 reviews) - Users appreciate the **user-friendly interface** of Snowflake, making navigation and analytics tasks effortless and efficient. (66 reviews) - Users value the **hassle-free data integration** with Snowflake, allowing focus on queries rather than technicalities. (61 reviews) - Easy Integrations (55 reviews) - Performance (53 reviews) - Speed (53 reviews) - Scaling (49 reviews) - Efficiency Improvement (45 reviews) **What users dislike:** - Users report that **Snowflake can become expensive** due to unoptimized queries and running warehouses unnecessarily. (53 reviews) - Users find **cost management challenging** with Snowflake, as neglecting optimizations can lead to unexpectedly high expenses. (36 reviews) - Users highlight the **high costs** of Snowflake, stressing the need for careful management of resources to avoid unexpected expenses. (32 reviews) - Users note a **steep learning curve** for advanced features, making initial use of Snowflake challenging but manageable. (25 reviews) - Users note **feature limitations** in Snowflake, particularly around cost management and real-time data streaming capabilities. (21 reviews) - Complexity (20 reviews) - Cost Estimation (20 reviews) - Query Issues (20 reviews) - Performance Issues (18 reviews) - Users find the **UI/UX challenging** and suggest better learning programs to improve the experience with Snowflake. (17 reviews) ## Snowflake Reviews ### 1. Flexible, High-Performance Storage with Easy Compute Management and Smooth Connectivity **Rating:** 4.5/5.0 stars **Reviewed by:** Julia F. | Backend Specialist, Mid-Market (51-1000 emp.) **Reviewed Date:** May 08, 2026 **What do you like best about Snowflake?** Snowflake storage lets teams work independently with flexible workloads and strong performance, without needing process management. The platforms tools and database features make implementation and day to day management straightforward and the overall performance has been excellent for us. Compute is easy to manage and makes collaboration very reliable across ETL, ML and data queries. Connecting to the platforn is also smooth and works well. **What do you dislike about Snowflake?** Snowflake requires careful management of compute costs. At the same time, it provides some optimized ETL functionality within Snowflake itself and helps keep the information stored in the database seccure. **What problems is Snowflake solving and how is that benefiting you?** Snowflake helps me tackle infrastructure and server challenges by bringing data warehousing, analytics and data collaboration together in one place. It supports external data sharing and real time processing and it can also be used to work with customer support data. It makes scaling easier as data grows, gives clearer visibility into the underlying infrastructure and supports practical use cases such as fraud detection. ### 2. Snowflake’s Cortex AI Makes an Already Powerful Data Platform Even Better **Rating:** 4.5/5.0 stars **Reviewed by:** AJHARUDDIN . | Data Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** May 06, 2026 **What do you like best about Snowflake?** Snowflake is the most powerful data tool right now . It's not limited to data warehouse now . With the current ai capabilities specially cortex like cortex analyst ,cortex agents , ai sql functions this is now an end to end platform for all data things . Specially the cortex code is life changing for etl pipelines,debugging etc. **What do you dislike about Snowflake?** I think they are shipping a lot of ai features which are great but still need fine tuning and improvements on that . Sometimes they hallucinate and gets a little frustrating . Also I think cortex analyst was pretty expensive so cost sometimes is a downside . **What problems is Snowflake solving and how is that benefiting you?** Snowflake helps us in a lot of work and really like all the features like time travel ,snowflake streams , stages to load data , different warehouse to handle the workloads etc. Also it allows for seamless integration with external systems like braze , dbt projects etc. ### 3. Easy Data Movement, Smooth Scaling, and Solid Performance in Snowflake **Rating:** 4.5/5.0 stars **Reviewed by:** Stephen H. | System Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** May 05, 2026 **What do you like best about Snowflake?** Snowflake makes data movement easy, and scaling compute for heavier workloads is straightforward without requiring much manual tuning. It also helps me keep data secure and I don’t have to worry about provisoning servers or APIs. The Cloud storage setup in Snowflake feels well desgined and I’ve consistently seen solid performace. I also like the integration features and it continues to work well even when the whole team is using it at the same time. The setup process process has been smooth and practical and having the option with both SQL and Python has been great. **What do you dislike about Snowflake?** Small files can hurt performance, but otherwise data pipelines can faster and cut overalltime. The compute is most useful when it stays simple, efficient, easy to mange and straightforward to operate. **What problems is Snowflake solving and how is that benefiting you?** Snowflake centralised our data. Reducea issues and improved consistency across our reporting and analytics. It has also streamlined workflows and prevented many of the problems we user to run into when managing reports, especially when working to tight timelines. The capabilities have been useful and it performa extremely well when handling window functions and workloa isolation. It reduces adat problema through integrations and helped us deliver excellent results. ### 4. Reliable, Low-Maintenance Platform for Scalable BI Data Workflows **Rating:** 4.5/5.0 stars **Reviewed by:** Tanya K. | Account Manager, Mid-Market (51-1000 emp.) **Reviewed Date:** May 01, 2026 **What do you like best about Snowflake?** Snowflake has been a reliable platform in my day to day data workflows. In my setup, I use dbt to run scheduled transformations and Snowflake handles these workloads efficiently. Data sharing is another area where Snowflake performs well. A notable advantage is the low maintenance requirement which reduces operational effort and allows more focus on analytics and modeling. Overall, Snowflake provides a stable, scalable and efficient environment for modern data operations, particularly in BI-driven use cases. **What do you dislike about Snowflake?** With Snowflake, cost visibility can feel a bit unclear at first and it’s easy to run up higher usage if queries aren’t monitored closely that said the interface is well structured and intuitive which makes it straightforward to find, organize and manage resources efficiently. **What problems is Snowflake solving and how is that benefiting you?** Snowflake has effectively consolidated multiple reporting systems into a single centralized data warehouse, which reduces data duplication and improves overall consistency in reporting. This centralization has also helped minimize errors, since all teams are working from the same source of truth. On top of that Snowflake’s user interface makes it easier to visualize, access and manage data workflows. Overall, it streamlines our data architecture, reduces operational fragmentation, and improves the accuracy and efficiency of our reporting processes. ### 5. Stable, Scalable Snowflake for Reporting on Large Datasets **Rating:** 5.0/5.0 stars **Reviewed by:** Sridhar B. | US Tax Specialist, Mid-Market (51-1000 emp.) **Reviewed Date:** April 30, 2026 **What do you like best about Snowflake?** I’m in Snowflake almost everyday for reporting work. Its been stable for me and doesn’t freeze, even when I’m working with large datasets. Writing queries feels straightforward and I rarely need much support to get things done. We also use it with looker and google sheeta, depending on who needs the data and how they prefer to access it. The option to scale compute up during heavier workloads and then scale it back down afterwards is helpful. I also appreciate not having to worry about infrastructure or ongoing maintenance. **What do you dislike about Snowflake?** Snowflake makes it very easy to manage dynamic schema updates, although I’ve also run into some slow performance at times. It streamlines data goverance and removea the storage constraints we used to deal with in traditional on prem databases. **What problems is Snowflake solving and how is that benefiting you?** It centralizes all of our reporting data, so I no longer have to chase different teams for files. That alone cuts down on a lot of back and forth during month end close and makes the whole process feel much smoother. ### 6. Simple, Fast, and Intuitive—Great for Large Data Sets **Rating:** 4.5/5.0 stars **Reviewed by:** Grant H. | Financial Data Analyst, Small-Business (50 or fewer emp.) **Reviewed Date:** May 09, 2026 **What do you like best about Snowflake?** It keeps things simple and consistent and performance stays fast even when I am working with large data sets. The features I rely on most are warehouse resizing, access roles and retention. The interface is user friendly with a UI that feels intuitive for both internal and external teams and the government feels solid as well. **What do you dislike about Snowflake?** With warehouse and running queries if you're not careful costs can grow quickly. That said I haven't had any problems so far. It helps me to bring together app data and overall it's been working well what I need. **What problems is Snowflake solving and how is that benefiting you?** I mainly use it to build data models and feed the dashboard and it has helped speed up our reporting cycles. It's also much easier to manage everything in snowflake instead of juggling multiple systems, which has made it simpler for our team to manage data and keep everything consistent. ### 7. Smooth Scheduled Models and Clean Dashboard-Ready Data with dbt **Rating:** 4.5/5.0 stars **Reviewed by:** Puneet G. | Analytics Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** May 03, 2026 **What do you like best about Snowflake?** It works really well with tools like power BI and looker. I use dbt to run scheduled models and push clean, ready to use tables directly into dashboards which keeps everything running smoothly. Sharing data across teams is straightforward and there's no heavy maintenance to worry about. Overall data organization and management feel solid consistently well handled. **What do you dislike about Snowflake?** At first the cost tracking isn't very clear, so it's easy to overspend especially if queries keep running in the background without you noticing, that said the interface itself is straightforward and once you're in its easy to navigate and find what you need. **What problems is Snowflake solving and how is that benefiting you?** It replaced several reporting databases for us. Now everything runs through a single data warehouse, which reduces duplication and keeps our data far more consistent. It's also helped us avoid reporting errors and overall it has made managing our analytics workflows much easier. ### 8. Smooth Reporting Pipelines with Looker/DBT and Effortless Scaling **Rating:** 4.5/5.0 stars **Reviewed by:** Larry S. | Software engineer, Enterprise (> 1000 emp.) **Reviewed Date:** April 19, 2026 **What do you like best about Snowflake?** I use Snowflake mainly for reporting pipelines. It integrates smoothly with tools like looker and DBT, and setting up transformations is fairly straightforward. I often rely on cloning tables without duplicating data when I’m testing changes. I also appreciate that storage can scale up without much advance planning and managing queries generally feels simple and efficient. **What do you dislike about Snowflake?** You can make it work, but it doesn’t feel very natural. The query history is helpful, yet when I need deeper troubleshooting, it still feels limited snowflake. That said, i do appreciate how user friendly it is especially for people who might not have technical background. **What problems is Snowflake solving and how is that benefiting you?** We used to run into reporting delays because we were on shared systems. Now analytics runs separately, so our dashboards stay consistent even when the load is heavy. This keeps our reporting timelines predictable and it’s also been great at storing processing and retrieving large amounts of data. ### 9. Snowflake Makes High-Volume Supply Chain Data Loads Smooth and Reliable **Rating:** 4.0/5.0 stars **Reviewed by:** Kapil K. | SAP MM, Small-Business (50 or fewer emp.) **Reviewed Date:** April 17, 2026 **What do you like best about Snowflake?** In a supply chain setup, I work with Snowflake every day to manage movement and inventory tracking data. It handles high volume workloads with very small setup requires on my end and I stage files in AWS S3, process everything inside Snowflake SnowFlake and then send the results to Power BI. Our data loads run on a schedule and I rarely run into failures unless something upstream breaks. **What do you dislike about Snowflake?** It really depnds on how people write queries badly written queries can slow things down and drive up costs. What I like is that I don’t have to worry about indexes or tuning the way I did with older systems. And even when multiple teams are running queries at the same time, performance doesn’t degrade much. **What problems is Snowflake solving and how is that benefiting you?** It has taken away much of struggle of handling large SAP MM datasets during peak operations. Stock reconciliation and movement tracking are now faster and smoother, which is a real help during audits and planning cycles. Reporting also runs separately now, so business users can get their numbers sonner without slowing now, so business users can get their numbers sooner without slowing down or impacting daily transactions. ### 10. Reliable, Fast Analytics at Scale with Snowflake **Rating:** 4.5/5.0 stars **Reviewed by:** Matt H. | PHP Developer, Small-Business (50 or fewer emp.) **Reviewed Date:** April 15, 2026 **What do you like best about Snowflake?** Snowflake has been reliable for handling large datasets. I use it for daily analytics work tied to our PHP applications, and the queries run fast, so I don’t have to spend time worrying about infrastructure management or constant tuning. It also integrates well with BI and ETL tools. Setting up pipelines and connecting external tools feels straightforward and its easy to get everything up and running. The separation of compute and storage is especailly useful when different teams are working at the same time. **What do you dislike about Snowflake?** One drawback is the limited low level control. Still, it reduced the load on production and made our analytics faster, which is a real and compared with other platforms like Snowflake, its a solid option. **What problems is Snowflake solving and how is that benefiting you?** We moved our reporting workload out of our main PHP database and into Snowflake. This reduced the load on production and made our analytics faster overall. Now we can run heavier queries without impacting app performnace and queries run fastest and I no longer have to worry about infrastructure management or constant tuning. ## Snowflake Discussions - [What's the best way to manage change data capture in Snowflake?](https://www.g2.com/discussions/what-s-the-best-way-to-manage-change-data-capture-in-snowflake) - 4 comments, 2 upvotes - [What is Snowflake used for?](https://www.g2.com/discussions/what-is-snowflake-used-for) - 2 comments, 1 upvote - [Why Python is best for career?](https://www.g2.com/discussions/why-python-is-best-for-career) - 1 comment, 1 upvote - [How do you optimize query performance in snowflake while analysing?](https://www.g2.com/discussions/how-do-you-optimize-query-performance-in-snowflake-while-analysing) - 1 comment, 1 upvote - [Snowflake - how to connect to Snowflake using NodeJS](https://www.g2.com/discussions/snowflake-how-to-connect-to-snowflake-using-nodejs) - 2 comments, 1 upvote - [View Snowflake pricing details and edition comparison](https://www.g2.com/products/snowflake/reviews/snowflake-review-12628591?section=pricing&secure%5Bexpires_at%5D=2026-05-21+19%3A45%3A12+-0500&secure%5Bsession_id%5D=6e79b47e-4f12-4de5-abe8-ee48ab8d29b1&secure%5Btoken%5D=c8cebd29a196bf361cc2280c1696574f41758511a9fbbc8d544cac4c016c5c27&format=llm_user) ## Snowflake Integrations - 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In-Database Machine Learning - Data Lake Analytics **Management** - Data dictionary - Data Replication - Query Language - Data Modeling - Performance Analysis **Storage** - Data Model - Data Types **Management** - Business Glossary - Data Discovery - Data Profililng - Reporting and Visualization - Data Lineage **Deployment** - Language Flexibility - Framework Flexibility - Versioning - Ease of Deployment - Scalability **Centralized computation** - Centralized Computation **Model Development** - Language Support - Drag and Drop - Pre-Built Algorithms - Model Training **Database** - Real-Time Data Collection - Data Distribution - Data Lake **Data Transformation** - Real-Time Analytics - Data Querying **Compliance** - Sensitive Data Compliance - Training and Guidelines - Policy Enforcement - Compliance Monitoring **Management** - Cataloging - Monitoring - Governing - Model Registry **Model Development** - Feature Engineering **Integration** - AI/ ML Integration - BI Tool Integration - Data lake Integration **Maintenance** - Data Migration - Backup and Recovery - Multi-User Environment **Availability** - Auto Sharding - Auto Recovery - Data Replication **Security** - Access Control - Roles Management - Compliance Management **Operations** - Metrics - Infrastructure management - Collaboration **Localized computation** - Localized computation **Machine/Deep Learning Services** - Computer Vision - Natural Language Processing - Natural Language Generation - Artificial Neural Networks **Integrations** - Hadoop Integration - Spark Integration **Data Quality** - Data Preparation - Data Distribution - Data Unification **Machine/Deep Learning Services** - Natural Language Understanding - Deep Learning **Deployment** - On-Premise - Cloud **Security** - Data Encryption - User Access Control **Performance** - Integrated Cache **Maintainence** - Data Quality Management - Policy Management **Management** - Cataloging - Monitoring - Governing **Deployment** - Managed Service - Application - Scalability **Platform** - Machine Scaling - Data Preparation - Spark Integration **Connectivity** - Hadoop Integration - Spark Integration - Multi-Source Analysis - Data Lake **Performance ** - Scalability **Security** - Role-Based Authorization - Authentication - Audit Logs - Encryption **Generative AI** - AI Text Generation - AI Text Summarization **Generative AI** - AI Text Generation - AI Text Summarization **Processing** - Cloud Processing - Workload Processing **Operations** - Data Visualization - Data Workflow - Governed Discovery - Embedded Analytics - Notebooks **Security** - Data Governance - Data Security **Support** - Multi-Model - Operating Systems **Generative AI** - AI Text Generation - AI Text Summarization - AI Text-to-Image **Agentic AI - Data Governance** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Decision Making **Generative AI** - AI Text Generation - AI Text Summarization **Agentic AI - Data Science and Machine Learning Platforms** - 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