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Snowflake

Snowflake

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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Pricing

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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

Offerings

  • 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.

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Product Demos

Snowflake Must Know New Objects | Chapter-8 | Snowflake Hands-on Tutorial

YouTube

Webinar: Snowflake on Azure: Modern Data Analytics

YouTube

Snowfall Projector Light

YouTube

Snowsight - Snowflake Modern Web UI | Chapter-5 | Snowflake Hands-on Tutorial

YouTube

Snowflake Database/Schema/Table & Container Hierarchy | Chapter-7 | Snowflake Hands-on Tutorial

YouTube

DesignsBySiCK.com Wash Away Fibrous Free Standing Lace FSL Snowflake demo

YouTube
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Product Details

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 Screenshots

Screenshot of Snowflake Installation

Snowflake Video

Product Introduction

Snowflake Competitors

Snowflake Technical Details

Deployment TypesSoftware as a Service (SaaS), Cloud, or Web-Based
Operating SystemsUnspecified
Mobile ApplicationNo

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 Data Intelligence Platform are common alternatives for Snowflake.

Reviewers rate Support Rating highest, with a score of 9.9.

The most common users of Snowflake are from Mid-sized Companies (51-1,000 employees).
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Comparisons

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Reviews and Ratings

(367)

Reviews

(1-5 of 42)

The Snowflake data cloud is the most complete cloud data platform

Rating: 10 out of 10
January 07, 2021
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.
  • Snowflake is very easy to use and doesn't have heavy DBA overhead.
  • Snowflake's ability to separate storage and compute is a radical departure from how databases of the past were built.
  • Snowflake is very easy for customers to scale as their needs shrink and grow.
Cons
  • Snowflake still has room to grow in the advanced analytics use cases with the addition of Python, Scala, or Java running natively on Snowflake virtual warehouses.
  • Snowflake can be somewhat unintuitive for customers coming from a prior RDBMS background because some of the concepts are such a radical departure.
  • Snowflake is still not especially suited for many database use cases, such as OLTP scenarios. It's hard to call this a con, since that's obviously not what the product was designed for, but users should be aware.
Specific scenarios where Snowflake is very strong include analytical data processing scenarios. Snowflake is wonderful at inexpensively consolidating and storing data and allowing very fast access to that data while maintaining a low cost profile with it's ability to automatically resume and suspend virtual warehouses.

Snowflake is less suited to transaction processing scenarios and isn't a best choice to back up an online order processing system.

Unleash the power of data with Snowflake - the cloud data platform built for the future

Rating: 9 out of 10
March 09, 2023
Vetted Review
Verified User
Snowflake
2 years of experience
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
  • Ingestion from different cloud platforms like AWS, Azure and GCP
  • Ability to store data in multiple formats including structured and unstructured
  • Compute is dynamic. Ability to chose a compute based on cost and performance.
Cons
  • Data visualization capability has improved though have lot of areas of improvement
  • Data governance and catalog capabilities
Data Security while ingestion and during storage, ability to support multiple data formats, dynamic compute to support varied use cases, low cost of maintenance and operations.

Premier data platform warehouse solution!

Rating: 7 out of 10
January 24, 2024
HW
Vetted Review
Verified User
Snowflake
2 years of experience
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.
  • Snowflake scales appropriately allowing you to manage expense for peak and off peak times for pulling and data retrieval and data centric processing jobs
  • Snowflake offers a marketplace solution that allows you to sell and subscribe to different data sources
  • Snowflake manages concurrency better in our trials than other premium competitors
  • Snowflake has little to no setup and ramp up time
  • Snowflake offers online training for various employee types
Cons
  • Too many tiers with different credit allotments for cost to run
  • No ability to go down in tiers easily if you select a higher tier, but there is an easy way to upgrade to a higher tier level!
  • Support engineers are tied to success of Snowflake working on more advanced use cases with client engineering teams. This is great but they should find ways to build standard known use cases and have a repo to support for clients to look through or get trained on so they aren't always needing an one on one engagement.
Snowflake data exchange is a great product with its competitors slowly following suit creating their own marketplaces of sort. The fact that the core data warehouse services on Snowflake are in most cases more ahead of other tools tied with the ability to drive marketplace exchanges from a B2B and B2C use case allows you to not only use your warehouse solution for building core data platform enterprise architecture, but it also provides a different way for you to look at delivering products to existing and prospect clients.

Cloud-Based Data Warehousing Done Right

Rating: 10 out of 10
May 05, 2019
CF
Vetted Review
Verified User
Snowflake
1 year of experience
We replaced our RDS Postgres based DW with Snowflake. We use it as the main data source for all analytics components within our SaaS product, internal reporting, and ad hoc analysis by power users. We are now also able to analyze JSON without the need for transformation by easily replicating S3 buckets with Snowpipe.
  • Provision compute resources instantly and autoscaling. True elastic, pay as you go pricing model.
  • Secure Data Sharing. No other vendor offers this. This is big if you have the need to do a lot of data extracts.
  • Ability to segregate clusters of computer resources (warehouses) by use pool. You can give power users access without the fear of slowing down critical applications.
  • Cloud first architecture offers simple integration with other cloud-centric technologies/tools like S3 storage, streaming/replication brokers like Kafka, Alooma and cloud base BI tools.
  • Big Data analytics capabilities with the familiarity of ANSI SQL. Short learning curve.
Cons
  • Compilation times on somewhat complex queries is high. We use materialized views to address this problem and take advantage of caching, but we believe there is room for improvement here.
  • SLA's dependent on the big cloud player (AWS, Azure, GCP). If they have interruptions, you have interruptions. This is the current reality of cloud computing.
Snowflake is an analytics data store. If your main use case for evaluating it is analytics workload, then there is no reason to at least do a POC. If your workload is more transactional, real-time log analytics or search, then there are other options.

Snowflake a great data warehousing tool.

Rating: 9 out of 10
January 17, 2025
Vetted Review
Verified User
Snowflake
3 years of experience
We work as a team setting up the Snowflake environment for our clients, which includes setting up production, development, and testing environments, setting up the role-based access control, and implementing masking policies. We create pipelines using tools like Azure Data Factory, airflow, and Matillion to bring clients' raw data into a Snowflake. Then, we create procedures and tasks on top of them to clean that data and transform the data for reporting purposes, and then we use the Snowflake consumption layer for all our reporting purposes and create reports out of it. We also use Snowsight for some of the Snowflake usage reports, such as cost monitoring and query monitoring. We have also made use of the dynamic table tables where we had a requirement to refresh the tables on an hourly basis so that we don't have to create multiple elements like task stream. The dynamic table can take care of everything.
  • Creating Procedures.
  • Python integration.
  • Snowsight for reports.
  • Data masking.
  • RBAC
Cons
  • Subquery.
Snowflake is well suited when you have to store your data and you want easy scalability and increase or decrease the storage per your requirement. You can also control the computing cost, and if your computing cost is less than or equal to 10% of your storage cost, then you don't have to pay for computing, which makes it cost-effective as well.
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