CData sits between enterprise data sources and AI applications, providing live connectivity to 350+ systems plus semantic intelligence and governance controls. The tech stack—Java, Kotlin, TypeScript, C#, C++, React across AWS/GCP/Azure—signals a polyglot architecture built to handle heterogeneous enterprise integrations. Active hiring in engineering, product, and QA combined with projects around automation frameworks and CI/CD suggests internal scaling of reliability and test infrastructure, likely in response to the pain-point cluster around data integration troubleshooting and security risks.
Notable leadership hires: Quality Assurance Lead
CData builds a data integration platform that connects enterprise applications, databases, and cloud services to AI systems with built-in governance and context awareness. The platform spans 350+ pre-built connectors (QuickBooks, Salesforce, ServiceNow, Snowflake, BigQuery, and others) plus custom API integration capabilities. The company serves over 10,000 customers worldwide, including partnerships with major AI and analytics vendors. Based in Chapel Hill, NC, with 201–500 employees, CData operates as a connectivity layer—handling both live data access and batch replication—for organizations integrating data-dependent AI workloads.
CData connects 350+ sources including Salesforce, ServiceNow, QuickBooks, Snowflake, BigQuery, SQL Server, Power BI, Tableau, and MongoDB. The platform supports ODBC, JDBC, and ADO.NET protocols for legacy system connectivity.
CData uses Java, Kotlin, TypeScript, and C# for core development; C++ for performance-critical components; React for frontend; and AWS, GCP, Azure for cloud infrastructure. Data pipeline tools include Apache Spark, Hadoop, and integrations with Snowflake and BigQuery.
CData Software's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.