CData Software

CData Software CData is the data connectivity platform for AI applications, real-time analytics, and enterprise integration—access any data, anywhere. Visit: http://cdata.com

CData Software (www.cdata.com is a company founded by technologists to serve innovators. As a leading provider of data access and connectivity solutions, our mission is to simplify the way that users and applications connect with data. As data has become increasingly vital to core business functions, it has become more decentralized than ever before. Break through the data silos with real-time data connectivity solutions from CData.

06/03/2026

There's a problem quietly growing inside most organizations right now.

For two decades, data teams worked to break down silos. AI may be creating a new version of the same problem. Critical business context, the reasoning behind decisions, the knowledge built through AI workflows every day, is now living in fragmented tools. One person's AI history. One team's workflow. One vendor's platform. No one owns it. No one governs it.

Whitney Myers, CEO at Zuar, Inc., calls it the context silo problem. And the companies that solve it first will have an advantage that compounds over time.

She's joining two other practitioners for a live roundtable on June 11. What the problem actually looks like in production, and what it takes to close the gap.

Day 2 at Snowflake Summit 2026 is underway at the Moscone Center in San Francisco. CData is set up at booth 2738 and the...
06/02/2026

Day 2 at Snowflake Summit 2026 is underway at the Moscone Center in San Francisco. CData is set up at booth 2738 and the team is on the floor and ready to connect.

If you are at the conference and want to talk about enterprise data access, Cortex AI readiness, or what production-ready AI actually requires, come find us. We would love the conversation.

❄️ Snowflake Inc.

The Snowflake Inc. team surprised us to mark five years of Summit partnership. ❄️ Proudly on display at booth 2738.Five ...
06/02/2026

The Snowflake Inc. team surprised us to mark five years of Summit partnership. ❄️ Proudly on display at booth 2738.

Five years is a long time in this industry. Organizations like JP Morgan, GlaxoSmithKline, and Bausch & Lomb rely on the CData and Snowflake integration every day. We do not take that lightly.

Come see it in person. We will be at booth 2738 through the end of the week.

The enterprise data access gap is one of the most consistent blockers for AI initiatives built on Snowflake. The sources...
05/28/2026

The enterprise data access gap is one of the most consistent blockers for AI initiatives built on Snowflake. The sources that matter most, legacy ERP systems, on-premises databases, and industry-specific applications, are often the ones that require the most additional connectivity work to reach.

CData closes that gap.

The team will be at Snowflake Summit 2026, booth 2738, June 1 to 4 at the Moscone Center in San Francisco.

Stop by to see how it works in practice.

A few moments from ProductCon New York with the CData team. One thing stood out consistently throughout the conversation...
05/22/2026

A few moments from ProductCon New York with the CData team.

One thing stood out consistently throughout the conversations this week: enterprise AI is moving beyond prototypes and into operational reality.

Discussions at the booth repeatedly came back to the challenges teams are navigating around fragmented systems, governed data access, enterprise connectivity, MCP infrastructure, and production reliability across customer environments.

Thanks to everyone who stopped by the booth and shared perspectives with the team this week.

AI is only as good as the data it can reach. As more companies move from AI prototypes into production environments, the...
05/20/2026

AI is only as good as the data it can reach.

As more companies move from AI prototypes into production environments, the conversation is shifting toward infrastructure realities:

• governed access
• fragmented systems
• identity and permissions
• live operational data
• reliable enterprise connectivity

That’s the focus of CData’s latest ProductCon pre-event blog, exploring the operational side of building AI-native products.

The bottleneck in enterprise AI isn't the model. It isn't the orchestration layer. It's governed, live access to the dat...
05/19/2026

The bottleneck in enterprise AI isn't the model. It isn't the orchestration layer. It's governed, live access to the data agents need to query and act on.

Raviv Levi joins CData as Chief Product and Technology Officer to lead product and technology as enterprise demand for agentic data access accelerates.

Enterprise AI moves at the speed of its data layer.

The CData team is at SaaStr Annual 2026 this week, where the conversation has shifted from building AI features to makin...
05/13/2026

The CData team is at SaaStr Annual 2026 this week, where the conversation has shifted from building AI features to making them work across every customer's data stack.

Connect AI Embed gives software teams a single connectivity layer so agents and AI features can access live customer data across any source, without custom connectors, replication, or credential overhead.

If your product roadmap includes copilots, agents, or AI-driven workflows, this is the infrastructure question worth getting right.

📸 If you see Liz at the event, make sure you say HI!

05/12/2026

CData Connect AI is now available in the ChatGPT App Directory.

Connecting AI to enterprise data is the easy part. Making that access governed, contextual, and usable in real business workflows is where most approaches fall short.

Raw schema, inconsistent metric definitions, and unrestricted access create problems fast — for users who get wrong answers, and for IT teams who can't control what the model sees.

Connect AI gives ChatGPT access to business-ready virtual datasets and MCP toolkits instead of raw underlying schemas, with access policy and audit controls enforced at run time. The data never moves and every interaction is logged.

A more practical way to bring enterprise data into ChatGPT.

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