Snowflake and Databricks are two leading cloud data warehouse and lakehouse suppliers that are racing to get the most comprehensive generative AI functions working on their customers’ data sets. Both offer data platform solutions across the three main cloud providers and are highly funded. Snowflake has made a series of AI-related announcements at its Snowflake summit, while Databricks said it was buying large language model (LLM) startup MosaicML. LLMs are used to make chatbots that can “understand” natural language queries and requests, analyze source data sets and respond with query answers, software code, and generated images. Snowflake was founded in 2012 and uses a shared-nothing massively parallel processing (MPP) SQL-based query cluster, while Databricks was started up a year later to simplify large-scale data processing and help enterprises get insights from troves of data.
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