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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 Enterprises (1,001+ employees).
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Comparisons

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Reviews and Ratings

(395)

Reviews

(1-2 of 2)

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.
  • Data Security
  • Cost of Ownership
  • Scalability
  • Ability to expedite continuous discovery
  • Instant Infra availability with minimum planning
  • Ability to monitor the cost and scope of optimization
Cloud -Native architecture, Separation of Storage and Compute provides flexibility, Scalable Compute, Cost and Data Security
1000
Sales, Marketing, Supply Chain, Finance, Operations
100
Data Engineers, Application Team, Functional Analysts
  • Data Storage
  • Data Insights
  • Data Analytics
  • Ability to Integrate with multiple cloud platforms and support Hybrid Architecture
  • Collaborate with Customer and Partners
  • Create and Support Data Mesh
  • Ingest and process Streaming data
No known issues with the product
Yes
We replaced Big Data - Hadoop with Snowflake because of its SQL native and can support both Structure and Unstructured Data. We struggled with Hadoop on the scalability, performance and architecture
  • Price
  • Product Features
  • Product Usability
Cloud-Native architecture and support for SQL which aligns to our transaction data in Oracle. Compute is dynamic and scalable allows to control and optimize the cost
Not a part of Implementation team

Snowflake - a very cost effective JSON querying tool.

Rating: 7 out of 10
August 06, 2018
Vetted Review
Verified User
Snowflake
3 years of experience
Snowflake is currently being used to ingest daily JSON files exported from an analytics package into S3. We use Snowflake for Ad Hoc Queries, aggregating daily KPIs and pushing that data into a SQL Server, as well as creating Tableau extracts for our dashboards. We have also started using it for deeper Machine Learning types of analysis - such as creating predictive models.
  • Process Engine control - we can stop/pause/start engines for various tasks.
  • Processing speed is adequate unless there are many users on at the same time.
  • Web interface is easy and intuitive, like the fact that your queries are automatically saved in tabs.
Cons
  • Very limited amount of tabs - saved queries, which requires us to store the code somewhere else and re-use existing queries.
  • Performance can really be a problem if there are many users on the system at the same time.
  • SnowFlake support sometimes can be hard to reach.
Snowflake is great in quick process and ad hoc queries of JSON files (with built-in JSON support). Snowflake would not be the best alternative for sitting on top of Tableau Dashboards - mostly because of the engine being idle and filtering might take additional time. The fact that you only pay for engine time you actually use makes Snowflake is very cost-effective.
  • We are able to organize all the various data sources into one place and run Ad hoc queries against them.
  • Snowflake being very cost effective is definitely saving us $ over their competitors.
  • We are able to track KPIs across various games and compare them to each other, thus knowing where to invest our marketing dollars.
Snowflake is cheaper, but TreasureData has a better interface and much more functionality. Also, TreasureData is able to process a greater number of records more efficiently. TreasureData has the ability to run both Hive and Presto. Also, TreasureData has native APIs for many various products, as well as native SDKs. We are currently using both of them for various things.
10
We have several DBAs from Business Intelligence using Snowflake primarily to ensure the data in SnowFlake has been correctly loaded from our S3 buckets. We have several Data Analysts who run ad hoc queries, do in-depth investigations and create dashboards to be be published on Tableau. We also have several Product Managers who sometimes writer their own queries and use Tableau dashboards data analysts have created for them.
7
Three Database Administrations from the Business Intelligence department, four Data Analysts from the Data Analytics department. We load the data into Snowlfake every morning from our S3 buckets, so it is important for database administrators to ensure the data gets loaded into SnowFlake correctly. Our data analysts run ad hoc queries, do spot checks and create dashboards to be used by our Product Managers.
  • Ad Hoc Analysis of various things that are going on in our games.
  • In-Depth model building to improve our users' experience.
  • Aggregating data and create dashboards to display our KPIs to management.
  • We've been able to leverage the cost of Snowflake to get better deals out of our other vendors.
  • Machine Learning model building.
  • In-Depth analytics investigation into performance of our games.
  • Expand our portfolio of games that use SnowFlake.
  • Add data from other marketing sources into SnowFlake to integrate with gaming data.
  • Build a warehouse sitting on top of SnowFlake with aggregated data.
SnowFlake is very cost effective and we also like the fact we can stop, start and spin up additional processing engines as we need to. We also like the fact that it's easy to connect our SQL IDEs to Snowflake and write our queries in the environment that we are used to.
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