Sold by: SnowflakeÂ
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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.
4.6
Overview
Snowflake is the platform for the AI era, making it easy for enterprises to innovate faster and get more value from data. The largest companies in the world use the Snowflake AI Data Cloud to build, use and share data, applications and AI.
Learn more at snowflake.com (NYSE: SNOW)
Highlights
- EASY: From effortless onboarding and operations, to low maintenance management, to easy-to-optimize savings, Snowflake provides a single, fully-managed platform to enable what is possible with data, apps and AI.
- CONNECTED: Do not sink time building and maintaining pipelines. Share data at speed instead. With a platform that is interoperable out of the box, sharing across clouds is lightning fast.
- TRUSTED: Stay safe, compliant and in control with built-in governance and always-on security. The Snowflake AI Data Cloud services and accounts are designed for security, lowering the risk of vulnerabilities and breaches with features that help customers configure comprehensive levels of security for their data and users.
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Buyer guide
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Pricing
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Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/unit |
|---|---|
Snowflake Usage ( Each unit is 1 cent of usage) | $0.01 |
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
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Support
Vendor support
For Snowflake On Demand - Enterprise, 24x365 support is available and with one hour (1 hour response).
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Updated weekly
By Snowflake
By Databricks, Inc.
By Cloudera
Top
10
In Embeddings, Software Development
Top
10
In Databases & Analytics Platforms, ML Solutions, Data Analytics
Top
10
In Data Analysis
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Data Processing Architecture
Unified platform supporting end-to-end data lifecycle from ingestion to analysis and modeling
Cloud Interoperability
Cross-cloud data sharing and processing capabilities with seamless integration across different cloud environments
Security Framework
Built-in comprehensive governance and security features with configurable security levels for data and user protection
Data Management
Fully-managed platform enabling automated operations, low maintenance, and optimized resource utilization
AI Application Support
Native capabilities for building, using, and sharing data applications and AI models within a single integrated ecosystem
Data Platform Architecture
Unified platform integrating data engineering, analytics, business intelligence, data science, and machine learning on a single architecture
Open Source Foundation
Built on open source data projects with support for open standards and data formats
Lakehouse Infrastructure
Provides a common data management approach using a lakehouse architecture running on Amazon S3
Data Intelligence Engine
Advanced engine capable of interpreting organizational data context and enabling broad data access across teams
Collaborative Workflow
Native collaboration capabilities enabling cross-functional data and AI workflow integration
Data Platform Architecture
Enterprise data platform supporting multi-cloud, hybrid cloud, and on-premises data management environments
Security and Governance Framework
Shared Data Experience (SDX) technology providing consistent security and governance policies across data workloads and infrastructures
Multi-Function Analytics
Integrated analytics platform supporting data ingestion, transformation, querying, optimization, and predictive modeling without requiring separate point products
Workload Optimization
Intelligent autoscaling capabilities for dynamically adjusting cloud infrastructure resources based on computational requirements
Data Lifecycle Management
Comprehensive platform supporting data processing across multiple services including Data Warehouse, Machine Learning, and custom analytics environments
Validated by AWS Marketplace
FedRAMP
GDPR
HIPAA
ISO/IEC 27001
PCI DSS
SOC 2 Type 2
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No security profile
No security profile
Standard contract
No
No
No
Customer reviews
Computer Software
Blazing Fast Data Processing for Large Volumes
Reviewed on Nov 26, 2025
Review provided by G2
What do you like best about the product?
It's processing time of huge number of records in short time
What do you dislike about the product?
There is a lag of 24 hrs of sync of data between external system and snowflake
What problems is the product solving and how is that benefiting you?
It is helping in running reports which will take long time to run in excel
Chiradeep B.
Snowflake DWH ( Data warehouse) demystified
Reviewed on Nov 26, 2025
Review provided by G2
What do you like best about the product?
The best part is the UI user interface and the option to integrate different application (Power BI DAXX) and PostgreSQl as a database seamless.
Creating multiple roles and granting privilege to them streamline every aspect of data analysis.
Creating multiple roles and granting privilege to them streamline every aspect of data analysis.
What do you dislike about the product?
Nothing as such, everything at par my expectation.
What problems is the product solving and how is that benefiting you?
Better Insight on the data.
Streamline every DWH ( Data warehouse operation)
Facilitates every ETL ( Extract transform and load) procedure
Streamline every DWH ( Data warehouse operation)
Facilitates every ETL ( Extract transform and load) procedure
Luke M.
Was fine until the last update
Reviewed on Nov 25, 2025
Review provided by G2
What do you like best about the product?
The ability to interact with our data warehouse.
What do you dislike about the product?
The latest update has been a disaster. Scripts go missing and nothing is intuitive.
What problems is the product solving and how is that benefiting you?
The ability to interact with all our data sources and have them communicate with one another.
Consumer Goods
Exceptional for Data Apps and ML Pipelines
Reviewed on Nov 25, 2025
Review provided by G2
What do you like best about the product?
Everything. For querying, to build data apps, for ML pipelines, iceberg.
What do you dislike about the product?
Mostly nothing but a feature in worksheets to create folders within folders.
What problems is the product solving and how is that benefiting you?
A great platform to connect to multiple platforms - Databricks/Power BI/Streamlit
reviewer2403603
Supports real-time pipelines and testing through dynamic features and flexible data replication
Reviewed on Nov 13, 2025
Review provided by PeerSpot
What is our primary use case?
I have used Snowflake for an end-to-end data solutioning as a warehouse, including all its capabilities such as ingestion and any implementations that were needed.
What is most valuable?
Snowflake has evolved significantly over time. Initially, they started with scalability, but more recently, they have introduced streaming capabilities, real-time and dynamic tables, along with various connectors.
Snowflake is well integrated with other solutions. I have used the Snowflake Zero-Copy Cloning feature in the past while prototyping data in lower environments. This feature is helpful as it saves a lot of time during the data replication process.
I have utilized the Time Travel feature multiple times while conducting testing. I have typically used the Time Travel feature for testing to see what the state of data was at a specific point in time. This feature is helpful, and Snowflake also has good RBAC policies with masking capabilities and policies that can be implemented.
Snowflake's data sharing capabilities are good for enhancing collaboration within the team. Additionally, Snowflake has introduced Snowpark and AAML integration, which makes it feasible to perform CICD operations.
What needs improvement?
Snowflake is currently stable, but it can be improved further. They have a couple of information schemas that can track account usage. If more connectors were brought in and more visibility features were added, particularly around cost tracking in the FinOps area, it would be beneficial.
I think the pricing for Snowflake is fair, and customers need to cautiously monitor their usage, as that is the customer's responsibility.
For how long have I used the solution?
I have worked with Snowflake for more than five years.
What do I think about the stability of the solution?
Snowflake is currently stable.
What do I think about the scalability of the solution?
Recently, Snowflake has introduced streaming capabilities, real-time and dynamic tables, along with various connectors.
How are customer service and support?
I have not had a direct interaction with Snowflake's customer service or technical support. I have only interacted with them for billing calls, and those interactions have been fine without any challenges.
How would you rate customer service and support?
Positive
What other advice do I have?
I have not explored multi-cloud deployment in Snowflake extensively enough to understand how it impacts an organization's data strategy for cost, performance, or compliance. I can rate Snowflake an eight out of ten based on my limited encounters with their support team, as those interactions have been positive. My company are customers only, not partners of Snowflake. I would rate this product nine out of ten overall.