Premier data platform warehouse solution!
Snowflake within the organization is used as a warehouse location of data that is both refined and curated in nature and able to be used …
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,…
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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…
Entry-level set up fee?
- No setup fee
For the latest information on pricing, visithttps://www.snowflake.com/pricing
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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
YouTube
Webinar: Snowflake on Azure: Modern Data Analytics
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Snowfall Projector Light
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Snowsight - Snowflake Modern Web UI | Chapter-5 | Snowflake Hands-on Tutorial
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Snowflake Database/Schema/Table & Container Hierarchy | Chapter-7 | Snowflake Hands-on Tutorial
YouTube
DesignsBySiCK.com Wash Away Fibrous Free Standing Lace FSL Snowflake demo
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Product Details
- About
- Competitors
- Tech Details
- FAQs
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 Data Cloud to share live data with customers and business partners, and connect with other organizations doing business as data consumers, data providers, and data service providers.
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 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
Product Introduction
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
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 Data Cloud to share live data with customers and business partners, and connect with other organizations doing business as data consumers, data providers, and data service providers.
Amazon Web Services and Databricks Lakehouse Platform are common alternatives for Snowflake.
Reviewers rate Support Rating highest, with a score of 9.8.
The most common users of Snowflake are from Enterprises (1,001+ employees).
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Community Insights
TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!
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- Pros
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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
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January 24, 2024
Premier data platform warehouse solution!
Snowflake within the organization is used as a warehouse location of data that is both refined and curated in nature and able to be used in sourcing for product use cases or offered in the various methods of data exchange. It solves for a single location source of data truth, and is the landing place of finished data engineering product for various use cases.
July 16, 2023
Snowflake: a tool for all-level analysts
We use Snowflake to query data from AWS S3. SQL query is easy to use for all level of data analysts/data scientists and as a result, Python or R is not required to pull data from Snowflake. Snowflake is widely used in my organization from customer acquisition to customer management.
Our company has grown organically and by acquisition, and as a result we have a series of disparate software products with around 800 databases across different clouds and different databases - SQL Server, MySQL, Postgres, AWS, Azure, etc.
My challenge was to implement an awesome and consistent reporting suite that allowed customers full access to all of their data across all of our products. While the software development team is working on integrating all these disparate products, that's a significant multi-year challenge.
Implementing a data lake in Snowflake greatly empowered my team to make tremendous reporting, blending data from many sources, without adding any load to the transactional databases. What's more, Snowflake has a vast array of excellent built-in features such as row-level security, data masking, secure sharing, and other items that allowed us to push security right down to the database level so we secure data no matter how customers access it, without relying on complex where clauses, etc., in queries.
The Snowflake model of separating compute from storage and allowing us to have differing workloads for differing usage scenarios is also very helpful.
My challenge was to implement an awesome and consistent reporting suite that allowed customers full access to all of their data across all of our products. While the software development team is working on integrating all these disparate products, that's a significant multi-year challenge.
Implementing a data lake in Snowflake greatly empowered my team to make tremendous reporting, blending data from many sources, without adding any load to the transactional databases. What's more, Snowflake has a vast array of excellent built-in features such as row-level security, data masking, secure sharing, and other items that allowed us to push security right down to the database level so we secure data no matter how customers access it, without relying on complex where clauses, etc., in queries.
The Snowflake model of separating compute from storage and allowing us to have differing workloads for differing usage scenarios is also very helpful.
March 09, 2023
Unleash the power of data with Snowflake - the cloud data platform built for the future
We have used Snowflake to ingest, store and process data from the customer devices telemetry data for various insights. Ease of creating a pipeline from multiple sources without worrying about the amount of data and scalability of compute for different departments helped us a faster go to market solution. Continuous discovery is the core of our team means fail fast with minimum cost, with Snowflake we are able to do quick proof of concept and align project goals to the organization strategy
December 21, 2022
Don't debate, just migrate to Snowflake already.
We use Snowflake in our organization as both our data lake & data warehouse. Instead of ETLing from source to a data lake to then architect our data, we have made internal schemas that we can ETL the data into. We then use an on-prem SQL Server to execute our SSIS packages, which support a DSN connection.
So far it's been very easy and very successful.
So far it's been very easy and very successful.
December 20, 2022
Snowflake Review
I work on data analysis of multiple projects and use snowflake to write queries, pull data, and do some analysis. Typically, I use Snowflake to pull data from database in order to check the current status or pull experiment results for some tests we run. I like to use app. Snowflake instead of the main site.
December 20, 2022
Snowflake Review
It is used by the whole company. We went with Snowflake because it is faster than Vertica and easier to manage different warehouses with.
Snowflake is giving a very robust cloud-based data warehousing solution with all the benefits of going to the cloud. Data sharing is one critical area in data management and Snowflake's innovative way of sharing data without physically moving it as a great feature. This is the exact needs that many of my clients had and Snowflake was just about a perfect fit!
January 17, 2022
Cloud-based Data Warehouse solution provided as a Saas.
Snowflake is being used as a could based data warehousing solution. We are building a data lake using Snowflake and other tools such as HVR and Dell Boomi. Currently, we are having different solutions used by different business teams for reporting and analytics purposes. Now we are building a centralized solution for the entire organization.
November 23, 2021
Snowflake enables data pull for all levels of analysts
My company switched from Amazon Redshift to Snowflake a while ago, and we got a huge improvement in data to pull by using Snowflake. The tool is widely used in multiple departments within the company and people with all level of data science skill and retrieve the data easily by using SQL.
November 09, 2021
What makes Snowflake amazing
Score 8 out of 10
Vetted Review
Verified User
Snowflake is currently used as the main data warehouse for the company, by creating a replica of the databases in production and storing them all in one single data warehouse, it gives access to the whole company to data in almost real time, the lag is about 5 to 30 minutes depending on the size of the DB. with this solution all teams have access to data in a single place in order to perform their respective tasks
August 10, 2021
Snowflake the MPP data platform of the future, today!
Snowflake is used as a scale-out data lake and data warehouse at Spireon. The separation of compute from storage enables the company to provide timely and scalable insights. The confluence of streaming and batch processing at a pay-as-you-go pricing model aids in being intelligent and efficient on budget planning and use.
Snowflake is used as the central data warehouse for data coming from all divisions of the College. Once in Snowflake, we use a variety of business intelligence tools to pull the data and do reporting and analysis. It also allows us to spend as we grow our data needs, rather than spending a huge up-front investment.
Snowflake is the database used by my company to store data across the organization. It helps us keep the data in one place, organized, and ready to use. The main application for this data is to analyze and report back to the stakeholders on how the business is running. Snowflake also helps us to create tables and schemas in the existing database for sandbox analytics.
Snowflake has enabled me to connect with data service providers. Through this software, I am capable of making data-driven decisions and providing my customers modern and integrated data applications. It is a cost-effective tool and we are its satisfied customers. This software has occupied every nook and corner of my IT department and we are at ease to handle the online data and supply it to our customers.
Snowflake was our data warehousing solution of choice, which we migrated from Treasure Data. It is used across the whole organization. It is used as a source of data for the entire organization, powering our dashboards and machine learning solutions.
April 30, 2021
Best Analytics Database in existence
Powers our entire data warehouse
Snowflake is a modern cloud data platform that InterWorks refers, resells, and implements for our data analytics clients. We also use it to back our internal data analytics initiatives within InterWorks. Customers of ours use Snowflake across every vertical and industry for any problem where they need an efficient, easy to use, scalable data environment.
January 05, 2021
Is Snowflake really nirvana for data warehousing?
Snowflake was chosen as our data warehouse to replace Amazon Redshift. It is used by all areas of the company including data science, product teams, sales, marketing, operations, finance, executives, etc. It sources data from various cloud data sources and is being fed from integration tools (Fivetran, Stitch) or ETL (Matillion).
January 04, 2021
Snowflake has worked Great in our company!
Snowflake is being used across all departments of the company. It's our main data warehouse and system of record for sales, inventory and other metrics of the company. Snowflake helps us address different business questions from executives and help them make decisions based on the different metrics being analyzed.
December 28, 2020
Snowflake is a future full stack database
Snowflake is acting as a company-wide Data Repository. With its cloud architecture and scalability, it addresses our storage, warehouse, and computation problem at the same time. Snowflake has powerful group roles and policy, which makes it beneficial for enterprise edition and usage. The ability to change the computational resources anytime is one of the biggest advantages. We have from manager to analyst been consuming the Snowflakes as a data repo. We have around a few hundred TB of data stored and it works smoothly on data growing exponentially too.
November 25, 2019
Amazing cloud-based DB
We use Snowflake on our Data Engineering team to house our data warehouse and offload a substantial amount of our ETL processes to Snowflake. Snowflake enables us to offer ultra-fast querying to the business to quickly gain insights into our current data set.
November 20, 2019
A vast improvement to the cloud!
Snowflake is being used on top of our Azure data warehouse. It solves our issue of queries running at the same time and has drastically improved our server performance. All of our reports connect to Snowflake and they all run very fast. It is currently being used across the entire company.
July 31, 2019
Extremely fast and efficient data warehouse tool.
Snowflake was implemented around 6 months ago to replace Redshift as the SQL level that allows us to query our data. Snowflake enables us to query our data quickly and effectively to get insights into various aspects of the program as well as various aspects of our users' behavior. It allows us to make smarter business decisions by making that data more readily available and reliable than our previous solution was.
A few months ago, we'd decided to migrate our on-premise BI stack to cloud as on-premise solutions were not able to meet growing demands. Clearly, we were looking for cloud-only solutions. After extensive research and POC of several tools, we've on-boarded Snowflake. Snowflake is primarily used by the BI developers as our primary data warehouse and the resulting data is used by the whole organization via the dashboard or Excel extracts. Impressive data compression rate and faster data retrieval make it the best choice as an enterprise data warehouse.