What’s up folks, today we’ll be joined by various martech pros sharing their opinions on the topic of warehouse-native martech.The landscape of marketing technology architecture has been undergoing – what you might call – a seismic shift and many don’t even realize it. In this transformation, there’s a remarkable development - warehouse-native marketing technology, an innovative breakthrough that promises to reshape the entire industry for the better, but comes with plenty of questions and skepticism. Here’s today’s main takeaway: As we navigate the potential transformation to warehouse-native martech, the single most critical action is to prioritize achieving high-quality, well-structured data; it's the golden key to unlocking the full potential of these emerging tools and strategies.This episode explores the various facets of warehouse-native martech and its viability, pulling in insights from industry experts, piecing together a comprehensive view of this groundbreaking shift.What are warehouse native martech or connected apps?In Dec 2021, Snowflake introduced a new term, 'connected applications'. 
Unlike traditional managed SaaS applications, connected applications process data on the customers' data warehouse, giving customers control over their data 
Benefits include 
preventing data silos, 
removing API integration backlog, 
enabling custom analytics, 
upholding data governance policies, 
improving SaaS performance, 
and facilitating actionable reporting


In other words, instead of making a copy of your DWH like most CDPs ad MAPs do today, everything lives on top of the DWH and you don’t have to pay for copying your db.Some companies solving this for product analytics are Rakam, Indicative, and Kubit. Census and Hightouch are also doing this, being warehouse-native activation tools sitting on top of a DWH and don’t store any of your data. Some Messaging companies solving this use case natively on the cloud warehouse are Vero, Messagears, and Castled.Revolutionized Data Handling in Customer Engagement PlatformsIndia Waters currently leads growth and technology partnerships at MessageGears. She explains how her company’s differentiation comes from its unique handling of customer data.Unlike competitors such as Salesforce Marketing Cloud or Oracle, which require a copy of customer data to live within their tool, MessageGears directly taps into modern data warehouses like Snowflake or Google BigQuery. This unique approach is born out of the inefficiency and high costs of older platforms that necessitate copying and moving data into multiple marketing tools.India vividly portrayed the challenge this old approach creates, imagining the confusion and resource consumption of working with out-of-date data across numerous tools. By not having to have a copy of customer data, MessageGears solves this problem for big companies, eliminating waste and creating a more coherent understanding of the customer's journey. Clients like OpenTable, T-Mobile, and Party City can now work with the most up-to-date data, using it as a source of truth for better analytics and customer experiences.Reflecting on how MessageGears had to become thought leaders in this approach, India acknowledged that it took time for the industry to understand and accept this innovative method. But as awareness has grown, the approach is now seen as a logical and necessary step in the evolution of customer data handling.Takeaway: MessageGears' refusal to follow the traditional path of copying customer data into its tools is a game-changer in the world of customer engagement platforms. By plugging directly into modern data warehouses, they've solved a problem that has plagued big companies, enabling them to use the most up-to-date data for insights and experiences. The industry has evolved, and MessageGears is leading the way with an approach that makes sense for today's data-driven world.Rethinking User Database Size Pricing in MartechWhile MG has been around since 2