Snowflake

Founded by Benoit Dageville in 2012

Store, process, and analyze enterprise data while running machine learning models across multiple clouds

Pricing model

Free Trial, Paid

Rating

★ People love it

Time to value

Moderate Setup (1-3 hours)

You can use Snowflake to store, manage, and query structured and semi-structured enterprise data in a centralized cloud environment. The system separates compute from storage, allowing you to run intensive analytical queries without slowing down other business operations. Teams can build continuous data pipelines using preferred languages like SQL or Python, share secure datasets with external partners without copying files, and train or deploy machine learning models directly against your raw records. It runs across AWS, Azure, and Google Cloud with unified governance.

What Snowflake does

Write and run complex SQL queries against massive datasetsConfigure virtual warehouses to balance performance and compute costsEstablish role-based access control and data masking policiesIngest streaming data streams with automated micro-batchingDeploy machine learning functions directly inside database queriesShare specific database views with outside partner organizationsMonitor warehouse usage and optimize query execution plansIndependent scaling of compute and storage resourcesDirect cross-cloud data sharing without creating duplicate copiesSupport for open table formats and semi-structured dataAutonomous AI coding and personal enterprise assistantsUnified security and governance controls across cloud providersBuilt-in machine learning model deployment on live datasetsAutomated continuous data ingestion pipelines

Pricing breakdown

Pricing model: Free Trial, Paid

Frequently asked

Google Cloud Tableau

Used by

Dylan Firn

GTM Lead @ Bookboost AB

In their stack

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