Stop managing migrations manually. Snowflake AIM gives you two paths to a modern data platform: convert and optimize your code, or virtualize existing workloads for immediate value. Either way, you land on one platform for data, AI and open formats.
Convert your warehouse code and Spark workloads to run natively on Snowflake automatically. Snowflake AIM handles tables, views, ETL, procedures and Spark APIs so your team ships faster instead of manually rewriting.
Virtualize Teradata on Snowflake to run existing workloads without rewriting all your code. Move data while keeping ETL and applications intact, enabling true lift-and-shift migration, faster decommissioning and phased modernization on Snowflake.
Whether moving from on-premises to the cloud or between clouds, Snowflake helps you have a seamless journey
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.
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.”
As a global company with teams across the Americas, Europe and Asia, Pfizer must ensure all its business units can quickly access and share data around the clock. Prior to Snowflake, this sharing required copies of data, ETL pipelines and an array of cumbersome, time-consuming processes.
Snowgrid — Snowflake’s cross-region, cross-cloud technology layer — allows Pfizer business units to seamlessly and securely collaborate, regardless of the country they’re in. This heightened level of sharing helps improve business continuity for the global organization.
With Snowflake, we now deliver a much better data platform at global scale for less than our legacy data platform.”
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.
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.
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.
Chicago Trading Company faced expensive data transfers, frequent and unpredictable processing failures, and limited cost visibility while struggling to process vast amounts of market data.
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.”
Before Snowflake, Insider faced unpredictable costs on BigQuery and had difficulty scaling their solutions.
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"
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.
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.”
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.
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.
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.
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."
Modernizing to the Snowflake AI Data Cloud gives you instant scalability, predictable pricing, built-in governance and open standards, while avoiding vendor lock-in. Our proven migration strategy helps you:
Understand why modernizing your data platform is essential to unlock advanced analytics and AI — and overcome the limits of legacy systems.
Follow a clear, low-risk path to migrate with minimal disruption, removing technical and organizational friction along the way.
Get to value faster with AI-powered tools that simplify migration and deliver immediate ROI on your cloud investment.
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