"SnowConvert AI excels at static code conversion, but it still requires code extraction and re‑insertion. Hyper‑Q complements this with on‑the‑fly translation to tackle dynamic constructs and application‑embedded SQL that converters often miss,"
"Migration is a huge decision for customer enterprises,"
"CFOs and CTOs are reluctant to move large legacy warehouses [such as] Teradata and Oracle into the cloud because of cost, time, and risk. By offering a more compelling proposition which is faster and lower cost, actually free, Snowflake gains a competitive muscle versus other cloud data warehouses."
SnowConvert AI excels at static code conversion but requires code extraction and re‑insertion. Hyper‑Q provides on‑the‑fly translation to handle dynamic constructs and application‑embedded SQL that static converters often miss. The combined capabilities reduce migration complexity and cover gaps in automated conversion workflows. The acquisition can position Snowflake to offer a faster, lower‑cost migration path compared with competitors that depend on traditional ETL and batch migration strategies such as AWS Redshift, Google BigQuery, and Azure Synapse. Cost, time, and risk continue to deter enterprises from moving large Teradata and Oracle warehouses, so a more compelling, near‑free proposition increases competitive advantage.
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