Informatica Announces On-Premises to Cloud Modernization Program with Snowflake
September 23, 2021 at 08:30 am EDT
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Informatica® announced an on-premises data warehouse and ETL-to-cloud modernization program in partnership with Snowflake. As part of Informatica's Cloud Data Warehouse Modernization program for PowerCenter customers, Informatica is now enabling PowerCenter customers to accelerate modernization of on-premises data warehouse and ETL deployments to a completely cloud-native approach approximately 12x faster than before and with up to 6x reduction in total cost of ownership. Informatica's Cloud Data Warehouse Modernization program includes automated migration factory assessment and has provided 90% or greater automatic ETL mapping conversions to IDMC and Snowflake's Data Cloud for several joint Snowflake and Informatica customers. Some of the largest Informatica PowerCenter deployments in the world are part of this cloud modernization program. One of the largest global pharmaceutical companies intends to migrate 25,000 data mappings to Informatica's Intelligent Data Management Cloud and repoint the data flows to Snowflake's Data Cloud with approximately 99% automated conversion expected by leveraging Informatica's cloud migration factory automation.
Snowflake Inc. enables every organization to mobilize their data with Snowflakes Data Cloud. The Companyâs platform powers the Data Cloud, enabling customers to consolidate data into a single source of truth to drive meaningful business insights, apply artificial intelligence (AI) to solve business problems, build data applications, and share data and data products. Its platform supports a range of workload, including data warehouse, data lake, data engineering, AI/machine learning (ML), applications, collaboration, cybersecurity, and Unistore. Its cloud-native architecture consists of three independently scalable but logically integrated layers across compute, storage, and cloud services. The compute layer provides dedicated resources to enable users to simultaneously access common data sets for many use cases with minimal latency. The storage layer ingests massive amounts and varieties of structured, semi-structured, and unstructured data to create a unified data record.
SNOWFLAKE INC. 
