EBOOK
Migrate to theSnowflake AI Data Cloud
Trouble scaling your legacy data warehouse and troubleshooting Spark pipelines? Modernize your data platform by migrating historical data and pipelines to Snowflake.
System Integrator Partners
Accelerate Teradata migrations to Snowflake with one of 10 vetted system integrator partners in Snowflake’s Migration Accelerated initiative.
Snowflake Professional Services
Work with our services teams to optimize, accelerate, and achieve your business goals with Snowflake.
Native Code Conversion Tooling
Snowflake also offers best-in-class code conversion tooling to accelerate these migrations.
Migrate to Snowflakewith Confidence
Most legacy systems only function as a product—Snowflake is a platform.
Single Data Platform Supporting Many Workloads and Languages:
Enable a full spectrum of use cases (BI and Reporting, Geospatial Analytics, etc.) across organizations — all against the same copy of data.
Work with SQL, Python, Java, and Scala on a single platform.
Power a full spectrum of data formats (structured, semi-structured, and unstructured) and architecture patterns (data warehouse, data lake, a hybrid of the two, data mesh, and more).
It Just Works
- Snowflake’s fully managed service automates as much as possible so that your teams can focus on what matters to the business.
- Get automatic provisioning, high availability, performance optimization, data protection, metadata management, and more.
- Available across clouds and regions—for an near-unlimited number of users and jobs.
On-Prem & CloudMigration Success Stories
Whether moving from on-premises to the cloud or between clouds, Snowflake helps you have a seamless journey.
CHALLENGE
With a relatively limited data stack built around AWS Redshift, Lucid had no ability to personalize customer engagements across channels.
SOLUTION
Searching for a robust data platform that could act as both a data lake and a data warehouse, Lucid turned to Snowflake. Snowflake consolidates Lucid’s platform into a single centralized platform and lets the company ingest data from multiple sources.
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.
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.
CHALLENGE
PGE managed a legacy, on-premises data warehouse that was expensive to maintain and had performance issues.
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.
CHALLENGE
Autodesk’s data lake architecture was operationally burdensome to support and cost-prohibitive to scale. Data ingestion workloads relied on large amounts of homegrown code that led to frequent troubleshooting and unreliable data.
SOLUTION
Migrating data, users and workloads to Snowflake helps Autodesk achieve a highly efficient and cost-effective data environment. ETL processes now run in minutes, not hours.
CHALLENGE
Sanofi’s data team faced several challenges with Spark’s manual deployment and maintenance, resource scalability issues, concurrency problems during peak usage, and data movement complexities between multiple platforms.
SOLUTION
Snowflake’s separation of storage and compute, near-zero maintenance and on-demand scalability allowed Sanofi to efficiently handle increased workloads and data volumes without compromising performance.
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.
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%.
Hundreds
of Teradata, Oracle, and Big Data (Hadoop, Spark, etc.) migrations to Snowflake
Thousands
of SQL Server, Cloud Provider migrations to Snowflake
< 4 Months
to migrate 5000 tables + 5TB of Data for Micron when migrating from a legacy data warehouse to Snowflake
< 1 Day
to set up data sharing capabilities in Snowflake, vs. 6-8 weeks it previously took Tapestry when using Hadoop
ACHIEVE EXCELLENT PRICE FOR PERFORMANCE
Elasticity
Near-instant elasticity right-sizes any number of users, jobs, or data
Ongoing Improvements
Ongoing performance improvements and cost optimization means your price for performance only gets better.
Consumption-Based Pricing
Per-second consumption-based pricing ensures you’re only charged for what you use.
Migration Accelerated
Partners
SNOWFLAKE MIGRATION KITS AND RESOURCES
Start your 30-DayFree Trial
Try Snowflake free for 30 days and experience the AI Data Cloud that helps eliminate the complexity, cost and constraints inherent with other solutions.