Ziggu data model
Activate your Ziggu data with SQL, APIs and AI
Transform, query, serve and automate your data in one workspace, then connect it to any AI agent through a single governed layer.
- AI-powered SQL editor with text-to-SQL
- Peliqan AI debugs pipelines and fixes broken queries
- Automatic lineage and catalog, with changes shown for review
- Query across 300+ sources in one SQL statement
- Powered by Trino, no copying or extra pipeline
- Ad hoc analysis on live data, before any ELT/ETL
- REST endpoints backed by SQL or Python
- Serve data products and ML model outputs
- Incoming webhooks land in a queryable table
- Low-code Python pipelines and scheduled jobs
- One MCP endpoint for any AI client, read and write
- Access rules and audit logs on every request
Everything your agents need to use your data
One platform that unifies your business data and exposes it to any AI agent or framework.
Text-to-SQL
Ask analytical questions in plain English. Peliqan turns them into SQL and runs them across your unified data, so agents answer questions like “top 5 customers by revenue last quarter“.
Retrieval-Augmented Generation
A built-in RAG Manager creates embeddings and stores them in a built-in vector store. A Doc Text Extractor turns PDFs and Word files into text, with OCR, ready for retrieval.
MCP server
Expose your data and actions through one governed MCP endpoint, ready for Claude, Cursor, ChatGPT and other MCP-compatible tools.
360° unified data
Combine 300+ sources, structured and unstructured, into one warehouse. Build 360° views of customers, products and employees for your agents.
Built with enterprise-grade security and compliance.
One platform instead of a data stack
ELT, a built-in warehouse, transformations, reverse ETL and an MCP endpoint in one governed place.
- 14-day free trial
- No credit card needed