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SnowConvert is Snowflake’s native code-conversion tooling. It’s installed locally and will never access the legacy database directly or share any proprietary information. It can be run on Windows, Mac and Linux.
When data is uploaded to Snowflake, it’s automatically optimized into a compressed columnar format for more efficient storage and faster query performance. This allows for easier processing of large data sets and speeds up data analytics.
The Snowflake platform separates compute and storage, so you get greater scalability, availability and cost efficiency. Rapidly scale resources independently and recover quickly from node failures with data that remains accessible across the network.
Snowflake’s elastic performance engine offers instant scaling and built-in concurrency without the need for tuning or management. It supports unlimited users, jobs, and data, allowing data teams to focus on their work while ensuring reliable performance with multi-cluster resource isolation.
Share data nearly instantly across clouds, companies and teams, with built-in security and governance for easy management. Cross-cloud capabilities enable seamless data replication, speeding up decision-making and time to market for new services.
Separated compute and storage means you only pay for what you use — potential savings of up to 66% in compute costs during peak demand. Plus, Snowflake’s self-improving engine and fully managed service save you resources on performance tuning and platform management.
*Based on a third party case study from Squadron Data
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