CData Software has launched three products for developers building AI applications on enterprise data: Connect AI Developer Edition (free), the CData Connect AI Python SDK (open source), and CData CLI. The tools provide governed access to enterprise systems including Salesforce, Snowflake, NetSuite, Microsoft 365 and Workday through SQL, Python and command line interfaces. Connect AI Developer Edition exposes enterprise APIs as a queryable data layer with standardised schema and automatic handling of authentication and rate limits. It includes MCP server support and works with coding assistants like Claude Code and Cursor. The Python SDK offers DB-API-compliant access, whilst CData CLI is a command-line interface for the company's JDBC, ODBC, Python and ADO.NET connectors. All three products are available at cdata.com/developers.

CData launches Connect AI Developer Edition, Python SDK, and CLI. June 23, 2026 CHAPEL HILL, N.C. - CData Software today launched three products for developers building AI applications on enterprise data: Connect AI Developer Edition (free), the CData Connect AI Python SDK (open source), and CData CLI. The releases give developers direct, governed access to enterprise systems, Salesforce, Snowflake, NetSuite, Microsoft 365, Workday, and hundreds of others, through the interfaces they already use: SQL, Python, the command line, and MCP. Most enterprise AI projects stall at the data layer, not because the models are wrong, but because getting governed, reliable access to production systems requires IT involvement at every step. Connect AI is what IT deploys so developers don't have to ask for permission each time. Business teams get AI workflows. Developers get a stable data interface. IT gets visibility and control over every query. "Developers have been forced to choose between moving fast and meeting the governance their company requires. That tradeoff doesn't hold up anymore," said Raviv Levi, Chief Product and Technology Officer at CData. "The same live, governed access that IT trusts and the business depends on should follow developers into the terminal, the Python environment, and the IDE. That's what these releases do." Connect AI Developer Edition Connect AI exposes enterprise APIs as a consistent, queryable data layer with standardized schema, read/write support, and automatic handling of authentication, rate limits, versioning, and pagination. Developers write queries. The platform handles the rest. The free Developer Edition includes the full enterprise feature set: MCP server support, per-user authentication passthrough, query logging with user-level attribution, and a management MCP server. It works out of the box with any MCP-capable coding assistant, client, or framework, including Claude Code, Codex, Cursor, and LangChain, among others. Connect AI also ships with Toolkits, which let teams package governed data access into a single MCP Server URL scoped to specific use cases, so agents get exactly what they need and nothing more. Connect AI Python SDK The Python SDK provides DB-API-compliant access to Connect AI, so developers can pull governed enterprise data into existing Python workflows without changing how they write code. It works with pandas, SQLAlchemy, cursor-based queries, and any other DB-API-compatible tool. The SDK is open source and available now. CData CLI is a command-line interface for CData's JDBC, ODBC, Python, and ADO.NETconnectors, designed to speed up development and testing for analytics pipelines, BI integrations, and ETL workflows. It's built for how developers work today: CLI-native tooling that coding assistants like Claude Code and Cursor can use directly to scaffold connectivity without digging through documentation. The initial release supports JDBC, with support for ADO.NET, Python, and ODBC coming in future releases.

CData appoints Raviv Levi as Chief Product and Technology Officer, expands executive team to power the AI data layer. New AI architecture and embedded sales leaders join as enterprise demand for agentic data access accelerates. CData Software, a data layer for AI, announced the appointment of Raviv Levi as Chief Product and Technology Officer (CPTO), along with the additions of Amit Naik as VP of AI Architecture and Craig Sanchez as SVP of Embedded Sales. The executive appointments support CData's continued momentum as organizations rethink how enterprise data is accessed, governed, and acted on, whether by people working through conversational AI or by autonomous agents operating across enterprise systems. "For years, enterprises focused on moving data for analytics," said Amit Sharma, founder and CEO, CData. "AI changes the equation. People are already using conversational AI to ask questions of their enterprise data, and autonomous agents are starting to take action on it. Both need live, governed, context-aware access to data wherever it lives. Raviv's experience building and scaling enterprise technology platforms makes him the right leader to drive the next phase of growth at CData. We're also excited to welcome Amit and Craig to the leadership team as we expand our AI platform and embedded partnerships to meet growing enterprise demand." Levi joins CData from Sift, where he served as Chief Product and Technology Officer, following senior leadership roles at Cisco, including Vice president of Security Strategy and Innovation for Cisco's Security Business Group. He has led product, cloud security, and platform initiatives focused on enterprise-scale infrastructure and AI-driven technologies. "The world has changed," said Levi. "In enterprise AI, the model layer is moving fast and orchestration is moving fast, but responsible access to data, with live connectivity, controls, and context, is quickly becoming the bottleneck for enterprises. That's where CData already has a strong foundation, and that opportunity is exactly why I joined." CData provides live access and data replication to virtually any enterprise data source spanning SaaS applications, cloud platforms, and on-premises systems. Its platform makes enterprise data usable for AI through a unified layer that delivers connectivity, semantic context, and governance controls, so that people can interact with data through conversational AI and agents can access and act on it autonomously, all without complex pipeline infrastructure. CData's Connect AI platform is the industry's first fully managed Model Context Protocol (MCP) platform and integrates with Anthropic Claude, OpenAI ChatGPT, Microsoft Copilot Studio, Azure AI Foundry, and Agent 365. As Vice President of AI Architecture, Naik will lead the design and evolution of CData's AI architecture, working across product and engineering to ensure the platform meets the technical demands of enterprise AI deployments. He joins CData from Calix and previously held senior leadership roles in AI/ML solutions and infrastructure at PayPal, Financial Engines and Oracle. "The AI architecture challenge for enterprises is clear: people need to ask questions of their data through conversational AI, and agents need to act on that data across dozens of systems, all in real time and with governance at every layer," said Naik. "I'm here to work with our customers and product teams to establish CData as the substrate that makes agentic AI safe, grounded, and operational at enterprise scale." Sanchez will lead CData's embedded sales organization, helping software vendors and platform providers integrate enterprise-grade connectivity and AI data access directly into their products. He joins CData from Vectara and previously held senior sales and business development leadership roles at Elastic and Cloudera. "Every software company building AI capabilities needs a data layer that can connect to enterprise systems and let agents act on that data with proper governance," said Sanchez. "That's the embedded opportunity in front of CData right now, and it's massive. I'm here to help scale the partnerships that get our connectivity into every AI-powered application in the market." The appointments reflect growing enterprise demand for AI systems, both conversational and autonomous, that can securely operate across fragmented data environments while maintaining governance, auditability, and real-time access. CData's customers include global organizations such as Adobe, Office Depot, GSK, UiPath, and Palantir. Read also: A single platform to orchestrate pipelines and keep analytical and AI workloads running on fresh data across hybrid and cloud environments CData Connect AI achieves 98.5% accuracy across 378 real-world prompts, outperforming competing MCP providers by 25+ percentage points Company advances in both ability to execute and completeness of vision