Overview
What is Snowflake?
The Snowflake Cloud Data Platform is the eponymous data warehouse with, from the company in San Mateo, a cloud and SQL based DW that aims to allow users to unify, integrate, analyze, and share previously siloed data in secure, governed,…
TrustRadius Insights
Snowflake: a tool for all-level analysts
Your data team will love Snowflake, just be sure to manage cost
Unleash the power of data with Snowflake - the cloud data platform built for the future
Don't debate, just migrate to Snowflake already.
Snowflake Review
Snowflake Review
Snowflake - a modern cloud based Datawarehouse solution with great features!
Cloud-based Data Warehouse solution provided as a Saas.
Snowflake enables data pull for all levels of analysts
What makes Snowflake amazing
Snowflake the MPP data platform of the future, today!
Scalable Cloud Warehouse Tool with Low Cost of Entry and Minimal Staff Training
Data Warehousing - Snowflake gives you the best options!
Managing data warehouse with Snowflake is amazing
Awards
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Reviewer Pros & Cons
Pricing
What is Snowflake?
The Snowflake Cloud Data Platform is the eponymous data warehouse with, from the company in San Mateo, a cloud and SQL based DW that aims to allow users to unify, integrate, analyze, and share previously siloed data in secure, governed, and compliant ways. With it, users can securely access the…
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- No setup fee
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- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
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Alternatives Pricing
What is Amazon Redshift?
Amazon Redshift is a hosted data warehouse solution, from Amazon Web Services.
Product Demos
Snowflake Must Know New Objects | Chapter-8 | Snowflake Hands-on Tutorial
Webinar: Snowflake on Azure: Modern Data Analytics
Snowfall Projector Light
Snowsight - Snowflake Modern Web UI | Chapter-5 | Snowflake Hands-on Tutorial
Snowflake Database/Schema/Table & Container Hierarchy | Chapter-7 | Snowflake Hands-on Tutorial
DesignsBySiCK.com Wash Away Fibrous Free Standing Lace FSL Snowflake demo
Product Details
- About
- Competitors
- Tech Details
- FAQs
What is Snowflake?
Snowflake Data Marketplace gives data scientists, business intelligence and analytics professionals, and everyone who desires data-driven decision-making access to live and ready-to-query data from your ecosystem of business partners and customers, and from potentially thousands of data providers and data service providers.
Snowflake Screenshots
Snowflake Video
Snowflake Competitors
- Amazon Web Services
- Databricks Lakehouse Platform
- · Google BigQuery
Snowflake Technical Details
Deployment Types | Software as a Service (SaaS), Cloud, or Web-Based |
---|---|
Operating Systems | Unspecified |
Mobile Application | No |
Frequently Asked Questions
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Reviews and Ratings
(337)Community Insights
- Business Problems Solved
- Pros
- Cons
Snowflake is widely used by organizations as a data lake and data warehouse, allowing users to blend data from multiple sources and generate comprehensive reports without impacting transactional databases. Users appreciate the excellent built-in features of Snowflake, such as row-level security, data masking, and secure sharing, which enable them to implement robust security measures at the database level. The software's model of separating compute from storage and accommodating different workloads for different scenarios proves to be highly advantageous for users. Additionally, Snowflake serves as a central repository for data, providing a single source of truth and facilitating data engineering for various use cases. Users can easily connect with data service providers, make data-driven decisions, and create modern and integrated data applications. The cost-effectiveness of Snowflake simplifies online data handling and supply to customers. It is widely used by data analytics clients across various industries due to its efficient, scalable, and easy-to-use data environment.
Furthermore, Snowflake enables quick and effective data querying, allowing users to gain insights into program aspects and user behavior for smarter business decisions. Its architecture, scalability, and data sharing capabilities make it a reliable cloud-based data warehousing solution for managing and sharing data efficiently. Many organizations are leveraging Snowflake to build a centralized solution for their reporting and analytics efforts. Snowflake's separation of compute from storage and pay-as-you-go pricing model enable intelligent and efficient budget planning and use. Customers are also using Snowflake to drive machine learning projects and gain valuable insights into their business data.
In addition to serving as a primary data warehouse for organizations, Snowflake is also instrumental in powering dashboards, machine learning solutions, ad-hoc queries, daily KPI aggregation, predictive modeling, customer acquisition management, telemetry insights, and more. Data teams across different departments rely on Snowflake for their compute purposes. The software offers an impressive data compression rate and faster data retrieval compared to other solutions like Amazon Redshift, making it an ideal choice as an enterprise data warehouse. The ease of use and accessibility of Snowflake make it widely adopted across entire organizations, catering to users with varying levels of data science skill. From basic data munging and querying to deep machine learning analysis and real-time access to data, Snowflake powers the entire data warehouse for many companies, providing crucial analytical understanding of performance and influencing business strategy.
Intuitive User Interface: Users have consistently praised Snowflake's intuitive and easy-to-use interface, with many stating that it is beginner-friendly. The drag and drop feature for tables into queries has been particularly helpful for users when writing complex queries.
Advanced Security Features: Snowflake's security features have received high praise from users, who feel confident in connecting with numerous business partners due to the platform's advanced security measures and effective programming. This positive sentiment indicates that Snowflake successfully prioritizes data protection and privacy.
Seamless Data Integration: Users appreciate Snowflake's ability to integrate, analyze, and transfer data from multiple clouds. They find it easy to have a transparent idea about data extraction and transfer. This feature allows users to efficiently work with their diverse datasets across different cloud platforms without any hassle or complications.
Limited Reporting Tools: Some users have mentioned that the reporting tools in the software are limited, which has led them to rely on additional tools like Tableau for more advanced reporting capabilities. They feel that having more robust built-in reporting features would enhance their data analysis and visualization options.
Cloud-Only Data Warehouse: The fact that the data warehouse is entirely cloud-based has raised concerns for some businesses. They worry about potential issues with data security, privacy, and control. These businesses prefer an on-premises solution or a hybrid approach where they can have more direct control over their data storage.
Complexity of JavaScript Implementation: Users have noted that implementing stored procedures through JavaScript can result in unnecessary overhead if their team lacks expertise in this programming language. This creates challenges when it comes to developing and maintaining complex procedures, leading to frustration among users who prefer a simpler implementation process.
Attribute Ratings
Reviews
(1-25 of 34)Premier data platform warehouse solution!
- Azure Synapse Analytics (Azure SQL Data Warehouse) and Azure SQL Database
Snowflake: a tool for all-level analysts
Unleash the power of data with Snowflake - the cloud data platform built for the future
Don't debate, just migrate to Snowflake already.
Snowflake Review
Snowflake Review
Snowflake enables data pull for all levels of analysts
- Amazon Redshift and Amazon S3 (Simple Storage Service)
Snowflake the MPP data platform of the future, today!
- Amazon Redshift, Azure Synapse Analytics (Azure SQL Data Warehouse) and Google BigQuery
As a result, dashboards are updated slowly, and analysts found it hard to deliver insights to stakeholders in a timely manner.
Snowflake was a blaze compared to Treasure Data. It solves two problems: computation can be easily scaled with respect to the data volume, and this is handled by Snowflake, and query speeds are much faster than Treasure Data.
Best Analytics Database in existence
- Amazon Redshift, Google BigQuery, Azure Synapse Analytics (Azure SQL Data Warehouse), Teradata Vantage Advanced SQL Engine (Teradata Database) and Oracle Database
Is Snowflake really nirvana for data warehousing?
Snowflake has worked Great in our company!
- Performance was in par or better compared to other tools in the market.
- Snowflake in my opinion stacks better than other tools I have used in the past.
Snowflake is a future full stack database
A vast improvement to the cloud!
Extremely fast and efficient data warehouse tool.
- Delivered as an easy-to-use data warehouse service, Snowflake enables you to process and analyze all your diverse data, build multiple databases, query with a common robust ANSI SQL environment, and execute ACID transnational capabilities.
- No need to create indexes and optimize query plans—plan storage capacity months in advance.
- Easy to configure new instances, create databases and set up security.
Snowflake's ease of use allows you to focus on what matters most - the data you're filling it with
For this, Snowflake crucially decouples of storage and compute. With Snowflake you pay for 1) storage space used and 2) amount of time spent querying data. Snowflake also has a notion of a “logical warehouse” which is the “compute” aspect of the database. These warehouses can be scaled up or down to deliver different grades of performance. You can also configure the number of compute nodes to parallelize query execution. These warehouses can be configured to “pause” when you’re not using them for cost efficiency. As a result, you can have a super beefy warehouse for BI queries that’s only running when people are using your BI tools, while your background batch jobs can use cheaper hardware.