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They supported analytics across the company, enabled data science workloads and maintained infrastructure serving nearly a thousand internal users. \u003C/p\u003E\r\n\u003Cp\u003EBut Amazon Redshift increasingly became a bottleneck.\u003C/p\u003E\r\n\u003Cp\u003E Integrations with modern data tools lagged behind the rest of the industry, metadata couldn’t easily flow downstream into BI platforms, and routine administration required far more engineering effort than the team wanted to spend maintaining infrastructure. \u003C/p\u003E\r\n\u003Cp\u003E“We were always months behind on being able to do some of the things we were reading about,” says Cory Woytasik. “Integrations simply weren’t there, and we knew there were capabilities we were missing.” \u003C/p\u003E\r\n\u003Cp\u003EFor Rains, the operational burden was equally concerning.\u003C/p\u003E\r\n\u003Cp\u003E “The amount of administrative overhead on Redshift compared to Snowflake is just absolutely massive,” he says. “We were getting to the point where we’d either have to hire additional specialists or move to a platform that a lean engineering team could actually manage.” \u003C/p\u003E\r\n\u003Cp\u003EAt the same time, Flock Safety was beginning to explore conversational analytics and broader AI initiatives, capabilities the team believed would be significantly easier to build on Snowflake.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-regular"},"quote_item_213208411":{"id":"quote-item-8b0d8ba890","alignment":"left","layout":"simple","quoteSourceName":"Grayson Rains","quoteSourceTitle":"Staff Data Platform Architect, Flock Safety","showQuoteIcon":true,"quote":"The amount of administrative overhead on Redshift compared to Snowflake is just absolutely massive.\" \r\n","showHangingPunctuation":false,":type":"snowflake-site/components/quote-item"},"title_v2_copy_copy_c_1166276050":{"id":"title-v2-a3e186a337","type":"heading4","lines":["Betting on engineering expertise"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"blue-black-text-color snowflake-responsive-component-top-padding-extra-small"},"text_copy_copy_copy_":{"id":"text-bcfff9ea8d","additionalClasses":"list--blue-bullets","text":"\u003Cp\u003ERather than outsourcing the migration to a consulting partner, Flock Safety chose to execute the project internally. \u003C/p\u003E\r\n\u003Cp\u003EThe decision was driven by one advantage: experience. \u003C/p\u003E\r\n\u003Cp\u003ERains had implemented Snowflake previously and understood both the platform and the team’s existing architecture well enough to recognize that the migration could move much faster than traditional implementation timelines suggested. \u003C/p\u003E\r\n\u003Cp\u003E“We had enough experience that we weren’t starting from square one, so we decided to deliver the migration ourselves,” says Woytasik.\u003C/p\u003E\r\n\u003Cp\u003E Instead of treating the proof of concept as disposable work, the team designed it as though it was a mini-migration. \u003C/p\u003E\r\n\u003Cp\u003ETerraform patterns, infrastructure design, migration scripts and validation processes built during the proof of concept became reusable assets throughout the production rollout. \u003C/p\u003E\r\n\u003Cp\u003ESnowflake’s technical teams provided guidance on sizing and best practices, while Flock Safety retained ownership of architecture and execution from start to finish.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-regular"},"featured_stat_178473":{"id":"featured-stat-5497f526e0","alignment":"left","image":{"id":"image","height":"5500","src":"https://www.snowflake.com/adobe/dynamicmedia/deliver/dm-aid--b7c06e8a-cf37-4e36-a34d-2c24c1104370/financial-graph-1.jpg?quality=85&preferwebp=true","alt":"A financial data analysis graph. 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