CData Connect

Data

Neotask on OpenClaw turns CData Connect into your universal data layer — querying 200+ data sources, running stored procedures, and exploring schemas without writing SQL or opening a query editor.

• Any data source becomes queryable through conversation — your agent connects to 200+ sources through CData and runs queries in plain English
• Data exploration happens instantly — browse catalogs, inspect schemas, and understand table structures without navigating database tools
• Complex operations execute conversationally — stored procedures run with parameters, results get interpreted, and insights get delivered in real time

What You Can Do

Your AI agent uses CData Connect as a bridge to virtually any data source. Query databases, APIs, SaaS applications, and files — all through a single conversational interface.

Universal Data Access

CData Connect bridges 200+ data sources: databases, cloud services, REST APIs, and file formats. Your agent queries them all through a single interface, translating your plain English questions into the right queries for each source.

Schema Exploration

Browse catalogs, list schemas, explore tables, and inspect column definitions. Your agent maps your entire data landscape so it knows what's available before you even ask your first question.

Stored Procedure Execution

Run stored procedures with parameters through conversation. Your agent handles parameterization, executes the procedure, and interprets the results — no need to remember procedure signatures or parameter types.

Every action runs autonomously or requires your approval — you decide.

Try Asking

"What data sources are available through our CData Connect instance?"

"Show me the schema for our Salesforce connection — what tables and fields are available?"

"Query the last 30 days of orders from our Shopify connection, grouped by status"

"Run the 'GenerateMonthlyReport' stored procedure with parameters for March 2026"

"What columns does the 'Customers' table have in our HubSpot connection?"

"Compare customer counts between our Salesforce and Stripe data sources"

"Execute an ad-hoc query on our Google Analytics connection for last week's traffic by source"

Pro Tips

Schema exploration first, queries second — have your agent map available tables and columns before building complex queries

Schedule recurring reports that pull from multiple data sources — your agent writes the queries and compiles the results

Use approval gates on write operations and procedure executions that modify data

CData Connect is the ultimate bridge integration — pair it with any other tool for cross-system data analysis

Multi-agent teams can specialize by data domain: one agent handles financial data, another customer data, a third operational metrics

Stored procedures are powerful for complex operations — let your agent handle the parameterization instead of memorizing signatures

Works Well With

• microsoft-teams - Connect CData Connect with Microsoft Teams to automate data alerts, streamline enterprise workflows, and deliver real-ti...