Breaking Free from Data Lock-In with Snowflake & Onehouse
Blog post from Onehouse
Many organizations utilize cloud data warehouses like Snowflake, Amazon Redshift, and Google BigQuery for data storage and analysis due to their tightly integrated systems, but this can lead to data lock-in and limited flexibility. Snowflake recently introduced support for Apache Iceberg to address these issues, offering options for managing data in an open table format while still using its query engine. However, these options come with limitations, such as restricted write access for other query engines and the need for Snowflake's catalog management. To overcome these challenges, Onehouse offers the Universal Data Lakehouse, which supports full interoperability across Apache Hudi, Apache Iceberg, and Delta Lake formats, allowing users to maintain data on their own cloud storage and access it with any query engine without extra costs. This solution enables seamless data sharing and management between platforms like Snowflake and Databricks, optimizing performance and compliance efforts without duplicating data.
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