Snowflake Reviews

Name: Snowflake
Brand: Snowflake Computing
Rating: 4.2 (100 reviews)

Vendor: Snowflake Computing

4.2 out of 5

100 reviews
97% willing to recommend

1,944 followers

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What is Snowflake?

Snowflake is a cloud-based data warehousing solution for storing and processing data, generating reports and dashboards, and as a BI reporting source. It is used for optimizing costs and using financial data, as well as for migrating data from on-premises to the cloud. The solution is often used as a centralized data warehouse, combining data from multiple sources.

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Snowflake is the #1 ranked solution in top Data Warehouse solutions, #1 ranked solution in top Cloud Data Warehouse solutions, and #3 ranked solution in top AI Synthetic Data solutions. PeerSpot users give Snowflake an average rating of 8.4 out of 10. Snowflake is most commonly compared to Azure Data Factory: Snowflake vs Azure Data Factory. Snowflake is popular among the large enterprise segment, accounting for 46% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a educational organization, accounting for 36% of all views.

Helped 849,686 peers since 2012

Featured Snowflake reviews

Snehasish Das

Technology Leader at eTCaaS

Snowflake is a data lake on the cloud where all processing happens in memory, resulting in very fast query responses. One key feature is the separation of compute and storage, which eliminates storage limitations. It also has tools for migrating data from legacy databases like Oracle. Its stability and efficiency enhance performance greatly. Tools in the AI/ML marketplace are readily available without needing development.

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VivekSingh 1

Senior Enterprise Architect at Boston Scientific

The solution's integration aspect is good, and all the connectors are in place. I found Snowflake similar to RDS. We use it for both data in motion and data in transit. It looks like the tool handles the data quite securely. We create ETL patterns. We ingest data from different source systems, and we have to create data pipelines. It would be useful if we could have AI features added to identify what I'm going to do with this data. It would be good if it could look at the data and help me create an automated pipeline instead of me creating a pipeline by myself. I'm from a retail background. I completed my Oracle DBA training a long time ago, about 18 years ago. I was quite familiar with the Snowflake and relational database concepts since I had already completed the Oracle ops, DBA ops, OCP, and OPA courses. For me, it was a journey similar to when I shifted from Oracle RDS to Snowflake. Although I was quite familiar with most of the concepts, there were some learnings. Whosoever is in the data field should at least try Snowflake once. They will then realize the best features in the solution and can continue using it. Overall, I rate the solution a seven out of ten.

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MedhaValvekar

Sr Manager at Cognizant

The solution could use a little bit more UI. Something was in process, however, it's not yet deployed or in the version that I'm using it is not deployed. If we have to use any table or any schema in other DB features, the prompt comes over after a dot. Whenever we are using it it would really help if it looked better. If you're running a procedure, it just gives a standard error instead of the exact error captured. If you have to look at it, you need to go into the history to look into which query failed, and we need to figure it out. Instead, if the error, whatever it is, is instead displayed in the history, showing the point of failure, it would be more visible. It would save some time for all the people who are using it. There are some reporting analytics that we can use. I'm aware of those. However, if there was more reporting, we'd appreciate that. We'd like for it to become a complete one-stop-shop solution. We'd like to have some automation around small tasks, especially around scheduling.

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Snowflake mindshare

Product category:

As of May 2025, the mindshare of Snowflake in the Cloud Data Warehouse category stands at 19.6%, down from 22.9% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Cloud Data Warehouse

PeerResearch reports based on Snowflake reviews

Type	Title	Date
Category	Cloud Data Warehouse	May 1, 2025	Download
Product	Reviews, tips, and advice from real users	May 1, 2025	Download
Comparison	Snowflake vs Microsoft Azure Synapse Analytics	May 1, 2025	Download
Comparison	Snowflake vs Azure Data Factory	May 1, 2025	Download
Comparison	Snowflake vs BigQuery	May 1, 2025	Download

Title	Rating	Mindshare	Recommending
Azure Data Factory	4.0	8.1%	92%	90 interviews Add to research
Teradata	4.1	8.7%	87%	76 interviews Add to research

Valuable Features

Snowflake offers scalability, rapid query performance, and flexibility. Users appreciate its separation of compute and storage. Features like Time Travel, Zero Copy Cloning, multi-format capabilities, and automatic scaling are highlighted. Snowflake allows users to scale computing resources without hardware changes, supports various data formats, and provides robust security and data sharing options. The integration with cloud platforms, SQL compatibility, and efficient data ingestion enhances its usability. Users value its managed operations and ability to handle both structured and semi-structured data.

"The technical support from Snowflake is very good, nice, and efficient."
"Snowflake is a great solution if you have substantial data volume."
"Snowflake is a data lake on the cloud where all processing happens in memory, resulting in very fast query responses."

Room for Improvement

Snowflake users mention a need for improved spatial components, pricing transparency, user interface, and connector expansion. Enhanced support and integration options are desired. Users express interest in built-in analytics, ETL capabilities, and SQL-based stored procedures. Migration processes and machine learning functionalities could be more robust. There's demand for better data governance, security features, and scheduling systems. Improvements in reporting, data cataloging, and orchestration capabilities for transformations are also highlighted.

"The billing doubles with size increase, but processing does not necessarily speed up accordingly."
"Cost reduction is one area I would like Snowflake to improve. The product is not very cheap, and a reduction in costs would be appreciated."
"The product is not very cheap, and a reduction in costs would be appreciated."

ROI

Snowflake demonstrates varying levels of return on investment. Some companies find productivity and cost efficiency improvements, particularly compared to Redshift and in operational cost reduction. Others struggle to define precise returns due to usage alongside multiple products. While some observe benefits in data handling and security, others remain uncertain or await tangible results. Long-term users report positive outcomes. A year may be needed to accurately gauge ROI impact.

Pricing

Enterprise users find Snowflake's pricing both reasonable and challenging. While many note it as cost-effective compared to on-prem solutions like Oracle, others express difficulty in predicting costs due to its consumption-based model. Snowflake employs a pay-as-you-go approach with charges for both storage and compute power. Discounts are available when purchasing credits in bulk. Some users appreciate the transparency, while others find it more expensive than competitors like AWS and BigQuery.

"Oracle is less expensive than Snowflake."
"The pricing part is based on the computing and storage. The costs are different and then there are services costs as well."
"The product's price range falls between average to a bit expensive range. I think the tool is worth the money if you use it properly."

Popular Use Cases

Users primarily employ Snowflake for data warehousing, integration, and analytics. Organizations migrate from on-premise to the cloud, leveraging its scalability and advanced analytics capabilities, including machine learning. Snowflake serves as a centralized platform to consolidate data from multiple sources, facilitating business intelligence and reporting. Users value its ability to streamline data processing and integrate with various cloud services. It is also used for building data lakes and supporting enterprise-level analytics infrastructures.

Service and Support

Users are generally satisfied with Snowflake's customer support, highlighting responsiveness, expertise, and helpfulness. Many report prompt responses and knowledgeable staff. Some mention time zone challenges and variable response times, while others appreciate the immediate engagement via their UI system. Users express satisfaction with available documentation and online resources, though a few note occasional delays or the need for improvements. For premium customers, outstanding service is frequently mentioned, while free users may encounter issues.

Deployment

Snowflake's initial setup is typically easy and straightforward, with no need for intricate installations or hardware configurations. Many users highlight the efficiency of the cloud-based model, enabling quick activation and use with minimal personnel. Migration processes vary based on infrastructure complexity, but those familiar with cloud ecosystems experience simplicity in transitioning. Some mention that challenges arise from data governance, integration, or performance tuning, but the setup itself is appreciated for its simplicity.

Scalability

Snowflake offers excellent scalability, allowing for seamless expansion in both data processing and user capacity. Users appreciate the independence between compute and storage scaling. Automatic adjustments minimize manual intervention. While some highlight ease and speed, others note cost concerns when scaling resources. Users are generally positive about Snowflake's capacity to handle large datasets and high concurrency but indicate occasional challenges in cluster sizing. Overall, Snowflake remains a popular choice among organizations for scalable cloud-based data warehousing.

Stability

Most users find Snowflake highly stable with minimal issues. Reports indicate quick response to AWS-related downtimes and reliable performance. Users appreciate its fast processing and lack of bugs or crashes. It efficiently handles scaling and data management, offering seamless cross-cloud functionality. Some noted rare stability concerns but still rate it highly. Maintenance demands are low, and its integration with AWS enhances stability. Replication features reassure users of failback capabilities during provider outages.

These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.

Download our Snowflake Buyer's Guide for additional reliable information.

Review data by company size

By reviewers

By visitors reading reviews

Top industries

By visitors reading reviews

Educational Organization

36%

Financial Services Firm

13%

Computer Software Company

Manufacturing Company

Healthcare Company

Insurance Company

Retailer

Government

University

Energy/Utilities Company

Comms Service Provider

Media Company

Real Estate/Law Firm

Wholesaler/Distributor

Construction Company

Non Profit

Transportation Company

Outsourcing Company

Hospitality Company

Recreational Facilities/Services Company

Pharma/Biotech Company

Performing Arts

Legal Firm

Logistics Company

Consumer Goods Company

Compare Snowflake with alternative products

Learn more about Snowflake

Snowflake has helped organizations improve query performance, store and process JSON and XML, consolidate multiple databases into one unified table, power company-wide dashboards, increase productivity, reduce processing time, and have easy maintenance with good technical support.

Its platform is made up of three components:

Cloud services - Snowflake uses ANSI SQL to empower users to optimize their data and manage their infrastructure, while Snowflake handles the security and encryption of stored data.
Query processing - Snowflake's compute layer is made up of virtual cloud data warehouses that let you analyze data through requests. Each of the warehouses does not compete for computing resources, nor do they affect the performance of each other.
Database storage - Snowflake automatically manages all parts of the data storage process, including file size, compression, organization, structure, metadata, and statistics.

Snowflake has many valuable vital features. Some of the most useful ones include:

Snowflake architecture provides nearly unlimited scalability and high speed because it uses a single elastic performance engine. The solution also supports unlimited concurrent users and workloads, from interactive to batch.
Snowflake makes automation easy and enables enterprises to automate data management, security, governance, availability, and data resiliency.
With seamless cross-cloud and cross-region connections, Snowflake eliminates ETL and data silos. Anyone who needs access to shared secure data can get a single copy via the data cloud. In addition, Snowflake makes remote collaboration and decision-making fast and easy via a single shared data source.
Snowflake’s Data Marketplace offers third-party data, which allows you to connect with Snowflake customers to extend workflows with data services and third-party applications.

There are many benefits to implementing Snowflake. It helps optimize costs, reduce downtime, improve operational efficiency, and automate data replication for fast recovery, and it is built for high reliability and availability.

Below are quotes from interviews we conducted with users currently using the Snowflake solution:

Sreenivasan R., Director of Data Architecture and Engineering at Decision Minds, says, "Data sharing is a good feature. It is a majorly used feature. The elastic computing is another big feature. Separating computing and storage gives you flexibility. It doesn't require much DBA involvement because it doesn't need any performance tuning. We are not doing any performance tuning, and the entire burden of performance and SQL tuning is on Snowflake. Its usability is very good. I don't need to ramp up any user, and its onboarding is easier. You just onboard the user, and you are done with it. There are simple SQL and UI, and people are able to use this solution easily. Ease of use is a big thing in Snowflake."

A director of business operations at a logistics company mentions, "It requires no maintenance on our part. They handle all that. The speed is phenomenal. The pricing isn't really anything more than what you would be paying for a SQL server license or another tool to execute the same thing. We have zero maintenance on our side to do anything and the speed at which it performs queries and loads the data is amazing. It handles unstructured data extremely well, too. So, if the data is in a JSON array or an XML, it handles that super well."

A Solution Architect at a wholesaler/distributor comments, "The ability to share the data and the ability to scale up and down easily are the most valuable features. The concept of data sharing and data plumbing made it very easy to provide and share data. The ability to refresh your Dev or QA just by doing a clone is also valuable. It has the dynamic scale up and scale down feature. Development and deployment are much easier as compared to other platforms where you have to go through a lot of stuff. With a tool like DBT, you can do modeling and transformation within a single tool and deploy to Snowflake. It provides continuous deployment and continuous integration abilities. There is a separation of storage and compute, so you only get charged for your usage. You only pay for what you use. When we share the data downstream with business partners, we can specifically create compute for them, and we can charge back the business."

Snowflake was previously known as Snowflake Computing.