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Data architecture is core to building robust enterprise applications, and as enterprises focus on harnessing unstructured data, new non-relational database solutions have seen increased adoption. In this episode of the Tech Disruptors podcast, Sahir Azam, chief product officer at MongoDB, joins Sunil Rajgopal, senior software analyst at Bloomberg Intelligence, to discuss the data-technology landscape, AI-driven refactoring and rewriting of legacy applications and broadening deployment of vector search across the corporate technology stack. The two also talk about MongoDB’s product evolution; competition with Snowflake, Databricks and Oracle; its addressable market; and shifting IT budgets.
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Data architecture is core to building robust enterprise applications, and as enterprises focus on harnessing unstructured data, new non-relational database solutions have seen increased adoption. In this episode of the Tech Disruptors podcast, Sahir Azam, chief product officer at MongoDB, joins Sunil Rajgopal, senior software analyst at Bloomberg Intelligence, to discuss the data-technology landscape, AI-driven refactoring and rewriting of legacy applications and broadening deployment of vector search across the corporate technology stack. The two also talk about MongoDB’s product evolution; competition with Snowflake, Databricks and Oracle; its addressable market; and shifting IT budgets.
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