CData operates a data integration platform positioned between enterprise data and AI applications, offering live connectivity across 350+ sources with semantic intelligence and governance controls. The hiring mix is marketing-heavy (7 roles) relative to engineering (5), paired with active projects in AI positioning, cloud platform roadmap, and LLM-powered features—indicating a shift from pure connector product toward packaged AI solutions. Pain points around data access, real-time integration, and observability suggest the platform is absorbing complexity that downstream AI systems can't solve alone.
CData is a data connectivity and integration company serving enterprise AI teams, data engineers, and analytics organizations. The platform provides live query and replication access to 350+ data sources (databases, SaaS, APIs, spreadsheets), coupled with semantic intelligence for context-aware AI responses and governance controls for compliance and audit. The company operates across cloud (AWS, GCP, Azure) and on-premises deployment models, integrating with popular BI, ETL, and database technologies (Snowflake, BigQuery, Power BI, Tableau, ServiceNow). Customers span 10,000+ organizations globally, including large tech firms. CData is headquartered in Chapel Hill, NC, and privately held with 201–500 employees.
CData integrates with 350+ sources including databases (SQL Server, MongoDB), SaaS platforms (Salesforce, QuickBooks, ServiceNow), cloud data warehouses (Snowflake, BigQuery), and APIs. Supports access via ODBC, JDBC, ADO.NET, and REST.
Real-time data integration is listed as a pain point the company is addressing. The platform offers live query and replication capabilities across its 350+ source connectors, designed for low-latency AI and analytics workloads.
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