Snowflake Reviews & Pricing

by Snowflake | 2012, San Mateo, California

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Business Intelligence Tools
Data Governance Tools
Flowchart Software
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What is Snowflake?

Industry Specialties: Serves all industries.

Snowflake is a cloud-based data warehousing platform that capitalizes on the power of the cloud to offer scalable, on-demand data storage and analytics services to businesses of all sizes. It shines with its ability to separate compute and storage, enabling users to scale each independently and pay for what they use. With features like instant elasticity, secure data sharing, and support for a multi-cloud strategy, Snowflake is particularly suitable for organizations that prioritize flexibility and ease of access to large volumes of data without the overhead of traditional data warehouses. While its innovative architecture outperforms many competitors in scalability and performance, it may introduce complexity in data transfer and integration. Users appreciate its straightforward usage-based pricing but note that managing costs requires close attention to usage patterns.

Pros:

Highly scalable architecture
Independent compute and storage scaling
Multi-cloud strategy support
Instant elasticity for workloads
Secure data sharing capabilities

Cons:

Complex data integration processes
Can be costly for unplanned usage spikes
Steep learning curve for new users
Limited tooling for certain legacy systems
May require optimization for query performance

PRICE

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PLATFORM

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User Sentiment i

Based on 965 reviews:

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#3

Snowflake is ranked #3 in the Business Intelligence Tools product directory based on the latest available data collected by SelectHub. Compare the leaders with our In-Depth Report.

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Snowflake Pricing

Based on our most recent analysis, Snowflake pricing starts at $0 (Per Credit, Monthly).

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Starting From: $0.00
Pricing Model: Per Credit, Monthly
Free Trial: Yes, Request for Free

Training Resources

Snowflake is supported with the following types of training:

Documentation
In Person
Live Online
Videos
Webinars

Support

The following support services are available for Snowflake:

Email
Phone
Chat
FAQ
Forum
Help Desk
Knowledge Base
Tickets
Training
24/7 Live Support

Snowflake Benefits and Insights

Why use Snowflake?

Key differentiators & advantages of Snowflake

Scalability: Enables businesses to dynamically scale computing resources to match workload demands without worrying about physical infrastructure limitations.
Performance: Provides high-performance analytics and data processing capabilities, allowing for rapid query results and more efficient data operations.
Cost-Effectiveness: With its pay-as-you-go model, Snowflake offers a cost-effective solution by charging only for the actual resources used.
Concurrent Access: Supports multiple users and workloads simultaneously without performance degradation, facilitating collaboration and access across an organization.
Data Sharing: Simplifies secure data sharing between different departments or with external partners, enhancing data collaboration and monetization.
Storage and Compute Separation: Separates storage and compute functions, allowing organizations to optimize and scale these components independently based on their needs.
Multi-Cloud Support: Offers a cross-platform approach with multi-cloud support, ensuring flexibility and avoiding vendor lock-in with the ability to operate across various cloud environments.
Data Security: Integrates advanced security features such as encryption and role-based access controls to safeguard sensitive data effectively.
Maintenance Free: As a fully-managed service, Snowflake eliminates the need for manual maintenance and software updates, allowing IT teams to focus on core business initiatives.
Data Governance: Provides tools and mechanisms to enforce data governance and compliance, meeting industry standards and regulatory requirements.
Data Democratization: Makes data easily accessible to non-technical users, promoting data democratization within the organization and fostering a data-driven culture.
Integration: Works well with a broad ecosystem of data integration tools, enabling seamless data pipelines and workflows for modern data-driven applications.

Industry Expertise

Snowflake is a cloud-based data warehouse that is designed for scalability, performance, and security. It is a popular choice for a variety of industries, including:

Financial Services: Snowflake is used by financial institutions to store and analyze large volumes of data, such as customer transactions, market data, and risk data.
Healthcare: Snowflake is used by healthcare providers to store and analyze patient data, such as electronic health records (EHRs), claims data, and clinical trial data.
Retail: Snowflake is used by retailers to store and analyze customer data, such as purchase history, product information, and marketing data.
Manufacturing: Snowflake is used by manufacturers to store and analyze data from their supply chains, such as inventory levels, production data, and quality control data.

Snowflake Reviews

Average customer reviews & user sentiment summary for Snowflake:

965 reviews

90%

of users would recommend this product

Snowflake has a 'excellent' User Satisfaction Rating of 90% when considering 965 user reviews from 3 recognized software review sites.

Synopsis of User Ratings and Reviews

Based on an aggregate of Snowflake reviews taken from the sources above, the following pros & cons have been curated by a SelectHub Market Analyst.

Pros

Scalability and Elasticity: Snowflake's cloud-based architecture enables seamless scaling up or down based on data volume and processing needs.
High Performance: Snowflake's optimized architecture delivers fast query performance, even for complex analytical workloads.
Cost-Effectiveness: Snowflake's pay-as-you-go pricing model ensures you only pay for the resources you consume, making it cost-efficient for organizations of all sizes.
Data Security: Snowflake adheres to industry-leading security standards and offers robust security features to protect sensitive data.
Ease of Use: Snowflake's intuitive interface and user-friendly tools make it easy for users of all skill levels to access, manage, and analyze data.

Cons

Limited Support for Unstructured Data: While Snowflake excels with structured and semi-structured data, its support for unstructured data like text and images is relatively limited.
Potential Performance Slowdowns for Complex Queries: While Snowflake generally delivers fast query performance, handling extremely complex queries can lead to performance slowdowns, requiring optimization techniques.
Dependency on Cloud Infrastructure: Snowflake's cloud-based nature makes it reliant on the reliability and performance of the underlying cloud infrastructure.
Steep Learning Curve: Snowflake's advanced features and functionality may require a significant learning investment, especially for users unfamiliar with data warehousing concepts.
Potential for Unexpected Costs: While Snowflake's pay-as-you-go model offers cost-efficiency, organizations with unpredictable data usage patterns may experience unexpected costs.

Researcher's Summary:

Snowflake is widely regarded as a powerful and scalable cloud-based data warehouse solution, particularly well-suited for large and mid-sized organizations. Users praise its elastic scalability, high performance, and cost-effectiveness, particularly when compared to traditional on-premises data warehouses.

"Snowflake has been a game-changer for our data management practices," stated one user. "Its ability to scale seamlessly has allowed us to handle growing data volumes without performance degradation or infrastructure bottlenecks."

However, some users have noted that Snowflake's advanced features and functionality can be challenging to navigate, especially for those unfamiliar with data warehousing concepts. Additionally, integrating Snowflake with a complex IT landscape can be challenging, requiring careful planning and integration expertise.

"Snowflake's learning curve can be steep, but the investment in training has paid off," commented another user. "We've seen significant improvements in our data quality and governance, which has led to better decision-making and increased efficiency."

Overall, Snowflake is a robust and versatile data warehousing solution that can help organizations of all sizes improve their data management practices. However, it is important to consider the complexity of the platform and the potential integration challenges before making a decision.

Key Features

Notable Snowflake features include:

Scalability: Snowflake's unique architecture allows it to scale elastically, meaning that you can add or remove compute resources as needed without having to provision or manage infrastructure.
Performance: Snowflake is optimized for performance, and it can handle large and complex queries with high throughput and low latency.
Security: Snowflake is a secure cloud platform that complies with industry standards, such as SOC 2 and PCI DSS. It also offers a variety of security features, such as data masking, encryption, and access control.
Data Sharing: Snowflake makes it easy to share data with other users and organizations, both inside and outside of your organization.
Cost-Effectiveness: Snowflake's pay-as-you-go pricing model means that you only pay for the resources that you use. This makes it a cost-effective solution for organizations of all sizes.
Multi-Cloud Support: Snowflake is available on all major cloud platforms, including Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).
Data Warehousing: Snowflake is a powerful data warehousing solution that can store and analyze large volumes of data from a variety of sources.
Data Lake: Snowflake can also be used as a data lake, which is a repository for raw data that has not been structured or processed.
Machine Learning: Snowflake integrates with a variety of machine learning tools, making it easy to build and deploy machine learning models.

Approach to Common Challenges

Data Silos and Fragmentation Snowflake's cloud-based platform unifies data from various sources, breaking down silos and providing a single source of truth for data.
Complexity and Integration Challenges Snowflake's flexible architecture and pre-built connectors simplify the process of integrating data from various sources, reducing complexity and effort.
Data Quality and Inconsistencies Snowflake's data quality and profiling capabilities help identify and rectify data inconsistencies, ensuring data is accurate, complete, and consistent.
Data Security and Compliance Snowflake's advanced security features, such as encryption, access controls, and auditing, ensure data is protected and compliant with regulations.
Lack of Data Governance Culture Snowflake's collaborative platform and data governance features promote data governance best practices, fostering a data-driven culture across the organization.
Difficulty in Data Analysis and Reporting Snowflake's advanced analytics and reporting capabilities make it easier for organizations to analyze and report on their data, enabling data-driven decision-making.

Cost Of Ownership

Frequently asked questions regarding Snowflake pricing include:

Q: What is the pricing model for Snowflake?
A: Snowflake offers a usage-based pricing model, where you are charged for the compute resources and storage that you use. There are no upfront costs or minimum commitments. Pricing is based on three main factors: the number of credits you consume, the size of the virtual warehouses you use, and the amount of data you store.
Q: What are the typical costs associated with implementing and using Snowflake?
A: The typical costs associated with implementing and using Snowflake will vary depending on the size and complexity of your organization, as well as the specific features and functionality that you need.
Q: What is the return on investment (ROI) for Snowflake?
A: The ROI for Snowflake can be significant. By improving data quality, governance, and analytics, Snowflake can help organizations reduce costs, improve decision-making, and increase revenue. The specific ROI for your organization will vary depending on your specific circumstances. However, studies have shown that organizations can achieve an ROI of up to 300% from using Snowflake.

Limitations

Notable limitations of Snowflake include:

Limited Support for Unstructured Data: Snowflake primarily focuses on structured and semi-structured data, while its support for unstructured data like text and images is relatively limited.
Potential Performance Issues for Complex Queries: While Snowflake generally excels in performance, handling extremely complex queries may lead to performance slowdowns, requiring optimization techniques.
Dependency on Cloud Infrastructure: Snowflake's cloud-based nature makes it reliant on the reliability and performance of the underlying cloud infrastructure.

Demo Resources

Resources that provide Snowflake demo insights include:

Snowflake Product Documentation Detailed documentation that provides an in-depth look at the features and capabilities of Snowflake.
Snowflake User Guide A comprehensive guide that walks users through the process of implementing and using Snowflake.
Snowflake Tutorials Interactive tutorials that provide step-by-step instructions for using Snowflake to solve common data governance challenges.
Snowflake Use Cases Real-world examples of how Snowflake has been used by organizations to improve their data governance and management practices.
Snowflake Customer Testimonials First-hand accounts from satisfied customers who have used Snowflake to improve their data governance and management practices.
Snowflake Blog A regularly updated blog that provides insights and best practices for data governance and management, as well as updates on the latest features and enhancements to Snowflake.

FAQ

Frequently asked questions regarding Snowflake include:

Q: How does Snowflake handle data security?
A: Snowflake provides robust security features including always-on encryption of data at rest and in transit, along with network policies and role-based access controls to safeguard sensitive information and ensure only authorized personnel gain access.
Q: Can Snowflake support real-time data processing?
A: Indeed, Snowflake's architecture allows for near-real-time data processing, giving enterprises the ability to perform analytics and glean insights within minimal latency, which is crucial in timely decision-making.
Q: What does concurrent data access mean in Snowflake?
A: Snowflake enables multiple users to access and query data simultaneously without affecting each other's performance. This feature is essential for businesses that require collaborative access to data across different teams and functions.
Q: Is Snowflake compliant with major data protection regulations?
A: Yes, Snowflake complies with key data protection and privacy regulations such as GDPR, HIPAA, and SOC 2, providing peace of mind that data management practices adhere to stringent standards.
Q: How does Snowflake manage data warehousing tasks?
A: By automating many traditional data warehousing tasks such as indexing and tuning, Snowflake reduces administrative overhead and lets organizations focus more on extracting value from their data instead of managing the data infrastructure.
Q: How can users scale compute resources in Snowflake?
A: Snowflake allows users to scale up or down their compute resources instantly, adjusting to workload demands through a feature called virtual warehouses, enabling businesses to match performance with current data processing needs cost-effectively.
Q: Does Snowflake provide solutions for global data management?
A: Snowflake offers a global data replication feature which allows for synchronizing data across different regions, supporting organizations in managing their global data footprint effectively and addressing residency requirements.