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DataChat Launches No-Code, Generative AI Data Analytics Platform as Snowflake Native App on Snowflake Marketplace

1. DataChat launches on Snowflake Marketplace, enhancing accessible data insights. 2. Natural language queries allow faster decision-making without coding expertise. 3. DataChat aims to boost productivity and simplify data analysis for all users. 4. Snowflake Marketplace reduces integration costs while accelerating revenue growth.

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Why Bullish?

The collaboration potentially increases utilization of Snowflake services, driving growth.

How important is it?

The news on enhanced functionalities in Snowflake directly appeals to potential customers.

Why Long Term?

Strategic partnerships like this can enhance Snowflake's market position over time.

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SNOWDATA
MADISON, Wis.--(BUSINESS WIRE)--DataChat, a no-code, generative AI platform that delivers speed to insights, today announced it is now available on Snowflake Marketplace. As a Snowflake Native App, DataChat will enable joint customers to ask questions of their data, in plain English, and receive near-instant insights to guide their critical business decisions. “Business users want to ask natural language questions of their data without waiting on dashboards or reports—and without sending data to a large language model,” said Viken Eldemir, CEO of DataChat. “DataChat makes this possible with a secure, no-code approach. By simplifying and securing data analysis, we help companies overcome barriers to better decision-making and enable significant gains in productivity, performance, and customer experience. Our presence in the Snowflake Marketplace will help make data analytics accessible to all.” DataChat and Snowflake, the AI Data Cloud company, are working together to help joint customers inform business decisions and drive innovation by enabling faster speed to insights. In recent months, DataChat has released several significant product updates including expanded collaboration features. DataChat’s agentic framework-powered new collaboration tools allow teams to work together in real-time on the same dataset without the risk of overwriting each other’s work, similar to Google Docs. This enables effortless co-creation and alignment. “DataChat exemplifies how organizations can leverage the Snowflake AI Data Cloud to build applications that have the potential to help data-driven business leaders inform their decisions and drive innovations,” said Tarik Dwiek, Head of Technology Alliances at Snowflake. “By helping our joint customers drive actionable insights with analytics, DataChat is helping to make it easier to interact with data and is a welcome addition to the Snowflake Marketplace.” Snowflake Marketplace helps companies expand what’s possible with data and AI through third-party data, apps and AI products. With on-platform purchasing and immediate access to data products, Snowflake Marketplace lowers integration costs and streamlines procurement processes. By delivering data, apps and AI products directly to the customers’ data, providers deliver a superior customer experience and see accelerated revenue growth and increased margins. To learn more about Snowflake Marketplace and how to find, try and buy third-party products to accelerate your analytics, app development and AI initiatives, click here. The Snowflake Native App Framework enables developers to build applications using Snowflake’s core functionalities, distribute them globally on Snowflake Marketplace, and deploy them within a customer’s Snowflake account. To learn more about the Snowflake Native App Framework and how to become a Snowflake partner, click here. About DataChat DataChat is a no-code, generative AI analytics platform that enables business users and domain experts to ask natural language questions of the data they already have access to, regardless of technical background or experience. DataChat focuses on iterative analytics, allowing users to refine questions and reshape data, making data insights accessible to non-technical users without requiring coding knowledge. Founded in 2018 by a team of University of Wisconsin data science researchers, DataChat is trusted by both startups and Fortune 50 companies for its ability to transform complex data into credible, actionable insights using plain English - no coding required. Headquartered in Madison, Wis., DataChat secured a $25M Series A investment led by Anthos Capital in 2021, as well as early-stage investment from Celesta Capital and Nepenthe Capital. To learn more, visit https://datachat.ai

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