DOCS
Snowflake SnowConvert documentation
Everything you need to know about the premier code conversion tool to move legacy code to Snowflake.
Migrate to theSnowflake AI Data Cloud
Modernize your entire data ecosystem efficiently on our leading AI Data Cloud. Migrate pipelines, data warehouses, applications, ML models and BI — with low-risk and cost-effective AI-powered solutions.
745 OF FORBES GLOBAL 2000 COMPANIES USE SNOWFLAKE
Modernize on an easy, connected, trusted platform
Simplify data management with a fully managed service that supports both ANSI SQL and Spark. Manage clusters automatically, plus get built-in governance and zero-ETL collaboration while continuously optimizing performance. Less onboarding and manual platform admin saves time and money, too.
Migrate smarter with AI solutions that cut costs and lower risk
Forget migration delays due to budget cycles. Snowflake’s easy, AI-powered solutions SnowConvert and Snowpark Migration Accelerator help you migrate at your own pace — for free. Combined with our partner network, they can reduce errors, costs and time so you can keep getting value from your data.
Innovate for the future on a robust, flexible architecture
Activate your data, AI, apps and models on a unified platform to gain more business value from your existing data. Advanced AI and ML and cloud-native architecture helps connect data silos, and Snowflake’s support for open standards allows you to select the best price/performance engine for each workload.
Accelerate Migrations to the AI Data Cloud from Any Source
Whether moving from on-premises to the cloud or between clouds, Snowflake helps you have a seamless journey
CHALLENGE
After contending with high maintenance and a crash-prone system, Travelpass looked to Snowflake for a platform that was robust, yet easy to use; offered peace of mind when it came to data governance and cost controls; and could help tap into the vast power of AI.
SOLUTION
Travelpass saw the benefits of true cooperation, enlisting Snowflake Professional Services to help seamlessly transition 30 TB of data and 134 pipelines/processes in just six weeks. After completing the migration, Travelpass discovered that Snowflake cut costs in half compared to its previous spend.
Snowflake was pitched as a partnership — and it is a partnership. We have been so happy we made the switch.”
David Webb
Data Architect, Travelpass
CHALLENGE
AT&T had a highly tuned, interactive reporting application built on Teradata. With over 100k internal users initiating over 2 million data calls per day, it leveraged every Teradata tool to achieve the sub-second data response time.
SOLUTION
The migration to Snowflake gave AT&T the ability to leverage result caching in addition to warehouses. The result was a cost-effective alternative with equivalent performance.
With data at our fingertips, we are growing revenue, becoming more cost effective and, most importantly, improving the customer experience.”
Andy Markus
Chief Data Officer, AT&T
CHALLENGE
Marriott was an early adopter of Netezza and Hadoop, leveraging the IBM BigInsights platform. Many of those technologies made the stack complex, costly due to expensive upgrades, and difficult to operate.
SOLUTION
Simplifying its data platform on Snowflake enabled Marriott to achieve transparency and control of its data, faster speed to market, improved collaboration and data sharing, and lower TCO.
Many users from Marriott have commented on their improved experience with Snowflake. Data that previously took 48 hours to 1 week in Hadoop is now available near-instantly in Snowflake.
CHALLENGE
Chicago Trading Company faced expensive data transfers costing $800,000 annually, frequent and unpredictable processing failures, and limited cost visibility while struggling to process vast amounts of market data from thousands of sources before trading hours, putting their critical overnight analysis and trading decisions at risk.
SOLUTION
By migrating to Snowflake, CTC eliminated data movement costs and gained visibility into spend, saving them 54% in costs. Engineers now focus on innovation instead of troubleshooting complex configurations, allowing CTC to reopen previously expensive data pipelines and explore AI capabilities.
We had so many months of frustration around trying to get to what each job on managed Spark cost. After moving to Snowflake, we immediately got ahead of these cost problems.”
David Trumbell
Head of Data Engineering and Principal Engineer, CTC
CHALLENGE
Before Snowflake, Insider faced unpredictable costs on Big Query and had difficulty scaling their solutions.
SOLUTION
By migrating to Snowflake, Insider now has fine-grained control of their compute and storage costs, resulting in a reduction of their month-over-month spend by 23%.
Snowflake really gives us a platform to explore both our own data with analytics and to partner with other data sets that can transform our business"
Zac Shepherd
Director of Engineering, Business Insider
CHALLENGE
Prior to Snowflake, data was spread across the data warehouse, data lake and production databases at WHOOP. Maintaining and scaling the company’s previous data warehouse, Amazon Redshift, was costly and operationally burdensome for the small data team. Cluster resizing jobs led to 15 minutes of downtime twice per day and long wait times during off-hours.
SOLUTION
Since moving to Snowflake, departments across WHOOP now enjoy expedited access to data and insights, allowing them to quickly understand members’ needs and make more informed business decisions. The data team at WHOOP spends less time troubleshooting slow queries and infrastructure issues, which leaves more time for extending data access across the organization.
Having our data instantly available through Snowflake saves us tens of thousands of dollars per month, which is essential for a company of our size and scale.”
Matt Luizzi
Director of Business Analytics, WHOOP
CHALLENGE
PGE managed a legacy, on-premises data warehouse that was expensive to maintain and had performance issues. The system’s tightly-coupled architecture was inflexible and caused copies of data to proliferate across the organization, making it difficult to identify the authoritative source of data alongside increasing storage costs.
SOLUTION
Realizing the need for a modern data environment, PGE turned to Snowflake. It chose the Snowflake Data Cloud on AWS for its high performance, separation of storage from compute, near-zero maintenance, and micro-partitioning.
Users can access both the modeled and raw data independently. We give them access to the data mart to create their own views and reports. It’s a great self-service model.
Aravind Murugesh
Principal Data Architect, Portland General Electric
CHALLENGE
For several years, Siemens has been rethinking how it uses data, looking to gain key operational insights that power decision-making and automate processes to unlock innovation.
SOLUTION
With Snowflake, Siemens created the Siemens Data Cloud, an open data mesh platform ecosystem that enables cloud transformation, centralizes data, improves decision-making and scales the use of AI.
Snowflake gives us scalability and stability, and makes it easy to implement models and solve business questions."
David Reindler
IT Team Lead, Business Intelligence and Data Analytics, Siemens AG
Migrate Your Entire Data Ecosystem with a Trusted Partner
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What Sets Snowflake Apart
Easy
Get value faster without adding complexity or cost with a fully managed, scalable and cost-optimized platform — AI and automation built in.
Connected
Optimize value from internal and external data, apps and models with seamless data sharing, secure collaboration and interoperable storage.
Trusted
Implement modern AI and distributed data strategies with out-of-the-box, enterprise-grade trust and business continuity across regions and clouds.
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