Snowflake Summit 2024: Spending time with Sponsors

The Snowflake Summit was nothing short of amazing! I had the opportunity to explore some of the most innovative solutions in data and analytics. It was cool to see the unique integrations exhibitors showcased with Snowflake’s data cloud. You can check out the DATAcated Library for video interviews with all of the partners that are discussed in this article.

All of the exhibitors were amazing, but a few particularly caught my eye because of how they’re driving advancements in data management, analytics, and customer engagement.

Sigma Computing: Revolutionizing Data Analytics with Seamless Snowflake Integration

Visiting the Sigma Computing booth was a game-changer for me. Sigma’s cloud-native analytics platform feels just like using a spreadsheet, so there’s no need for coding. You can easily work with billions of rows, add new data, and do real-time “what if” analyses.

I was impressed with how quickly Sigma connects with Snowflake’s Data Cloud. You can analyze massive datasets in seconds. This combination helps data teams and business analysts work together seamlessly, iterate faster, and build data products more efficiently. Plus, Sigma makes it easy for business users to tap into advanced data science models created in Snowflake. Their recent $200 million funding round, which valued the company at $1.5 billion, really highlights their potential and growing influence in business intelligence.

I also learned about Sigma’s AI Toolkit for Business, which includes AI Functions, AI Forecasting, and Sigma Copilot. These tools make powerful AI and ML capabilities accessible to everyone, not just the tech-savvy. You can forecast data with just a click, and Sigma Copilot offers smart assistance that’s transparent and easy to understand. It’s no wonder they won a Gold Stevie® Award for outstanding customer service. Sigma’s commitment to making advanced data analytics user-friendly truly sets them apart.

The Future of Self-Serve Analytics with Zenlytic

I had the opportunity to witness Zenlytic’s LLM-powered business intelligence platform and see firsthand how it enables self-serve analytics through a conversational interface. Its Cognitive layer stood out to me because it allows data teams to model company-specific metrics and ensure consistent definitions for key metrics like revenue or conversion.

The platform is easy to access — all you need is a Chrome-based browser. Metric definitions are maintained in YAML files using version control systems like GitHub, which is great for ensuring accuracy and version control.

I can see why DMA United partnered with Zenlytic last year. With the Zenlytic platform, they can easily analyze returns, track key industry metrics, and improve consumer service. They can also use Zoë, Zenlytic’s chatbot that answers any question about their brand through a ChatGPT-like interface or directly in Slack.

Breaking Barriers in Data Productivity: Insights with Matillion

At Matillion’s booth, I had a ping-pong duel with April Educalane, chatted with Jeremy Post from Coca-Cola Consolidated, and took a look at their incredibly fast and easy data pipeline platform. It makes building and managing data pipelines for AI and analytics incredibly fast and easy. They use no-code and AI tools to boost productivity and make it possible to integrate data from any source, leveraging cloud processing power and scale.

One of the standout features is how well Matillion integrates with Snowflake. Their ETL tool for Snowflake simplifies the process of loading and transforming data, making it ready for analytics quickly. It’s clear that Matillion has optimized its platform to take full advantage of Snowflake’s architecture, which means faster and more scalable data analytics for users.

I also learned about some of Matillion’s latest developments. A few months ago, they became the first to unify pushdown ELT and AI, speeding up the creation of analytics and AI pipelines on platforms like Snowflake, Databricks, and AWS. They’ve introduced integrated AI tools that enhance productivity and support new business applications like chatbots. Additionally, their new RAG component allows for loading data into vector stores like Pinecone, integrating private structured and unstructured data into large language models (LLMs).

Another exciting update they recently announced is their Data Productivity Cloud for Databrick. This no-code solution is designed for Delta Lake and enables users to quickly build scalable data pipelines for AI and analytics projects. Matillion has also made significant leadership moves, with Eric Benson, a former AWS executive, joining as Chief Revenue Officer to drive further growth and innovation.

Tailoring Cloud Solutions: Insights from Kloudgen

At the Kloudgen booth, I chatted with Yash Gupta, Kloudge’s President and CEO, and saw how they tailor cloud technologies to solve specific business problems.

One of the things that stood out to me is their Snowflake Migration Service. They have this unique methodology and proprietary tools that are packed with best practices and automation. This makes it super easy to manage Snowflake accounts, especially when modernizing from legacy systems.

It was nice to get a sense of how they help people rewrite optimized queries that can save time and money! By automating the optimization of data queries, they are helping businesses save time, reduce costs, and improve performance. For anyone dealing with complex data environments, Kloudgen’s solutions offer a powerful way to enhance efficiency and effectiveness.

Modernizing Data Strategies: Insights from Informatica

At the Informatica booth, I saw the Informatica Intelligent Data Management Cloud™ (IDMC). It’s an AI-powered platform that connects, manages, and unifies data across multi-cloud and hybrid systems. They’re all about helping businesses modernize their data strategies by making data access easy and enabling comprehensive data management.

One of the coolest things I learned is how Informatica partners with Snowflake to provide seamless data integration, data quality, and data governance solutions. Their IDMC integrates with Snowflake to support smooth data movement, transformation, and unification. This partnership makes it super easy to streamline data management processes and optimize data analytics within the Snowflake environment.

During my visit, I also heard about some of their latest news. Informatica is democratizing data with its AI assistant, CLAIRE GPT, which uses metadata to make information retrieval easier and improve productivity. It’s accessible to those without deep technical skills through low-code and no-code interfaces.

Another interesting tidbit was about Informatica’s ongoing efforts to support digital transformation initiatives globally, like their recent summit in Saudi Arabia.

I also had a great time chatting with Amy Horowtiz from Informatica about some of their recent announcements!

Overall, visiting the Informatica booth gave me a great look into how they’re innovating in data management and making powerful tools more accessible to businesses of all sizes.

Visiting Domo at the Snowflake Summit

The DOMO booth was pretty impressive. They have a cloud-based platform designed to facilitate business decision-making and process automation through data integration, visualization, and analysis. The platform connects various data sources and systems, providing real-time insights and dashboards that can help improve operational efficiencies and data-driven strategies.

One of the coolest things I learned is how Domo integrates with Snowflake. This partnership combines Snowflake’s powerful data warehouse capabilities with Domo’s intuitive data experience platform. This integration makes it super easy to connect and visualize data stored in Snowflake, enabling real-time insights and enhanced data-driven decision-making. It’s a great way to manage data efficiently and perform advanced analytics.

While I was there, I also got to chat with Cassidy Hilton (Domo) and David Damitz (TaylorMade Golf) about their partnership and how together they have enhanced TaylorMade’s data analytics experience.

Visiting Data Axle at the Snowflake Summit

At the Data Axle booth, I recorded an awesome interview with Hossam Bahlool, the company’s CPO. It was interesting to see how they serve so many industries, such as finance, insurance, retail, and nonprofits. Their data, technology, and marketing services help with customer acquisition, data management, and targeted marketing campaigns.

One thing that caught my attention is their collaboration with Snowflake. Data Axle uses Snowflake’s cloud data platform to enhance data solutions and make data management and analytics more efficient. This partnership supports scalable and effective data-driven services, which is a big plus for their clients.

They’ve been busy lately, too. Data Axle recently announced some major updates, including expanding their business and consumer data coverage and introducing new audience indicators for nonprofit fundraising. These enhancements strengthen their position as a leading provider of AI-ready data, offering comprehensive intelligence on both businesses and consumers.

They also hired a new CEO four months ago: Andrew Frawley. He brings over thirty years of experience in technology, data, and marketing, and it sounds like he’s set to drive Data Axle forward as a leader in B2B and B2C data solutions.

Visiting Redpoint Global at the Snowflake Summit

At the Redpoint Global booth, I was able to see how they specialize in integrating customer data from various sources to create a unified view. This helps organizations personalize interactions and improve engagement across multiple channels.

One of the standout features is their integration with Snowflake. Redpoint’s customer data platform (CDP) works seamlessly with Snowflake’s data cloud, enhancing data unification and accessibility without the need for data replication. This partnership combines Snowflake’s scalable infrastructure with Redpoint’s advanced data management and customer engagement tools, enabling real-time customer insights and personalized interactions. It’s all about improving data quality, supporting identity resolution, and providing seamless access to unified customer data.

I had the pleasure of chatting with Beth Scagnoli about how people should ‘buy their second CDP first’ with Redpoint Global.

While I was there, I learned that Redpoint recently achieved Select Tier Partner Status with Snowflake, which is a big deal. This status highlights how their partnership delivers fast, personalized experiences with a single customer view. Their composable CDP provides comprehensive functionality without data replication, helping customers capitalize on a full range of CDP capabilities in a data-in-place environment.

The Snowflake Summit was an amazing experience, showcasing some of the most innovative solutions in data and analytics. It was incredible to see the unique integrations exhibitors showcased with Snowflake’s data cloud, driving advancements in data management, analytics, and customer engagement.

These interactions deepened my appreciation for how advanced and user-friendly these platforms can be, making complex data analysis accessible and efficient for everyone. The innovations and partnerships on display at the Summit make it clear that the future of data-driven decision-making is bright. I hope to be back next year!