Sold by: Snowflake
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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.
Get started today with up to $400 in usage credits during your 30-day free trial. Trial ends the earlier of when credits are consumed or the 30-day period expires. After your trial ends, you will be automatically enrolled into a Snowflake pay-as-you-go plan using the payment method associated with your AWS Marketplace account. You will pay only for what you use and can cancel anytime.
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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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.
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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
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In Embeddings, Software Development
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In Databases & Analytics Platforms, ML Solutions, Data Analytics
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In Data Analysis
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
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AI generated from product descriptions
Unified Data Platform
End-to-end data lifecycle management including data ingestion, processing, analysis, modeling, and application building within a single integrated platform
Cross-Cloud Data Sharing
Interoperable architecture enabling rapid data sharing across multiple cloud providers without requiring custom pipeline development and maintenance
Built-in Security and Governance
Comprehensive security features including always-on security, built-in governance controls, and configurable security levels for data and user access management
Fully Managed Infrastructure
Fully-managed platform with automated operations, low-maintenance management, and built-in optimization capabilities for resource efficiency
AI and Machine Learning Capabilities
Support for building, deploying, and sharing AI applications and models integrated within the data platform ecosystem
Lakehouse Architecture
Built on a lakehouse foundation providing unified data storage and governance across data engineering, analytics, BI, data science, and machine learning workloads
Open Source Integration
Constructed on open source data projects and open standards to maximize flexibility and interoperability across the data ecosystem
Data Intelligence Engine
Powered by a Data Intelligence Engine that enables organizational access to data and insights across diverse user roles and technical skill levels
Unified Data Platform
Consolidates data, analytics, and AI workloads on a single common platform running on Amazon S3, eliminating traditional data silos
Collaborative Capabilities
Provides native collaboration features enabling data teams to work together across the entire data and AI workflow
Workload Auto-scaling
Intelligently autoscales workloads up and down across hybrid and public cloud environments for optimized cloud infrastructure utilization.
Multi-function Analytics Platform
Provides integrated data warehouse, machine learning, and custom analytics capabilities with unified analytic functions to eliminate data silos.
Shared Data Experience (SDX)
Implements security and governance policies that are set once and applied consistently across all data and workloads, with portability across supported infrastructures.
Data Lifecycle Management
Manages complete data lifecycle functions including ingestion, transformation, querying, optimization, and predictive analytics across multiple cloud environments.
Unified Security and Governance
Ensures all workloads share common security, governance, and metadata with capabilities for data discovery, curation, and self-service access controls.
Validated by AWS Marketplace
FedRAMP
GDPR
HIPAA
ISO/IEC 27001
PCI DSS
SOC 2 Type 2
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Standard contract
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Customer reviews
Kapil K.
Snowflake Makes High-Volume Supply Chain Data Loads Smooth and Reliable
Reviewed on Apr 18, 2026
Review provided by G2
What do you like best about the product?
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 the product?
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 the product 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.
Matt H.
Reliable, Fast Analytics at Scale with Snowflake
Reviewed on Apr 15, 2026
Review provided by G2
What do you like best about the product?
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 the product?
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 the product 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.
Sharon K.
HOW SNOWFLAKE SOLVES DATA CHAOS IN HIGH-VELOCITY STAFFING FIRMS
Reviewed on Apr 15, 2026
Review provided by G2
What do you like best about the product?
Snowflake lets me share live data without copying it. I can give my clients a secure view of their contracts, hours worked, and end dates. With historical data in Snowflake, I can also run models to forecast seasonal hiring spikes for clients. Snowflake is fully managed, so there’s no indexing, no tuning, and no 2 a.m. crashes right before payroll.
What do you dislike about the product?
To really use it, you need some SQL or Tableau skills; once you have them, it’s genuinely helpful for working with messy data. I haven’t experienced any problems while using it so far. I highly recommend it 💯
What problems is the product solving and how is that benefiting you?
Snowflake separates storage from compute, so five recruiters can run big searches at the same time without it crashing. It also gives clients a live view limited to their own contracts and roles.
Emma D.
Flexible, SQL-Friendly Data Warehousing That Connects Easily with Snowflake and Tableau
Reviewed on Apr 14, 2026
Review provided by G2
What do you like best about the product?
We connect Snowflake with Tableau, ETL tools and even a few Pythod Based workflows. It handles both structured and semi structured data without much trouble. I personally like that SQL works out the box so there’s no need to learn something new. I also appreciate the flexibility to switch between data warehouses when need, which makes it easier to adapt as requirements change.
What do you dislike about the product?
Its flexible , and I have’t run into any issues till now. Everythings works smoothly and I’d personally recommend using it daily to help keep your workflow running without interruptions.
What problems is the product solving and how is that benefiting you?
The cloud database saves us a lot of physical space for storing our databases and it also helps unify data across lending, payments and customer records. We now have a one source of truth, rather than having information split across different systems, which makes it much easier to keep everything consistent.
Information Technology and Services
Snowflake Handles Big Data Beautifully and Pairs Perfectly with PowerBI
Reviewed on Apr 14, 2026
Review provided by G2
What do you like best about the product?
Snowflake consumes big volumes of data and works well with PowerBI to present customized outputs. Data organization and management is handled well by Snowflake!
What do you dislike about the product?
Nothing - Snowflake does exactly what we need!
What problems is the product solving and how is that benefiting you?
Snowflake is receiving data from multiple sources and platforms within the business and presents it together in one format/place. Data management and access control is great. Cost of subscribing and managing is attractive and does not appear to be overpriced. Support from Snowflake is excellent.