Query
Which customers ordered less this month?
ERP analytics without the warehouse tax
Cetari connects to legacy ERP systems, transforms the data into open Parquet, and exposes it through DuckDB, ODBC/JDBC, and MCP — so people, BI tools, and AI agents can all query the same governed data layer.
Most companies are not trying to build a data platform for its own sake. They are trying to answer operational questions trapped inside the ERP.
Query
Which customers ordered less this month?
Query
What inventory is aging past 60 days?
Query
Which vendors are late most often?
Query
What did we ship by region last quarter?
Query
What changed in margin by product line?
Cetari turns legacy ERP data into a clean, queryable layer. Plain-English answers are one surface. The core product is the governed infrastructure underneath.
Operations users ask questions and get charts, tables, or numbers without waiting for a new report cycle.
Power BI, Tableau, Looker, Hex, Excel, and similar tools connect through ODBC/JDBC.
Analysts and technical users can query modeled ERP data through DuckDB.
AI assistants and agent workflows query governed ERP data instead of relying on stale spreadsheets, unsafe direct ERP access, screenshots, or one-off exports.
Cetari’s MCP server lets AI tools query modeled ERP data through a controlled layer — without direct production ERP access, spreadsheet uploads, or hallucinated business metrics.
Why it matters
AI is only useful when it can reach the right operational data.
Cetari extracts ERP data, models it into open Parquet files, stores it in single-tenant cloud storage, and exposes it through DuckDB, ODBC/JDBC, and MCP.
Legacy ERP systems
Cetari
Open Parquet + DuckDB
ERP-aware extraction from legacy operational systems.
Modeled ERP data written into open Parquet files.
Customer-isolated storage operated by Cetari.
Fast analytical queries over the governed data layer.
Outputs
Open Parquet storage
ODBC/JDBC compatibility
Same governed layer across every interface
Cetari is not trying to replace every enterprise data platform for every use case. It is built for ERP analytics and operational reporting where the usual stack is more machinery than the problem requires.
Ingestion vendor
Managed ERP extraction
Cloud warehouse
Single-tenant Parquet storage
Transformation layer
ERP-aware modeling
Semantic layer
DuckDB query layer
BI-only output
Chat, charts, tables, SQL, ODBC/JDBC
Analyst bottleneck
Built for operations teams
AI access bolted on later
MCP server for AI tools and agents
High recurring platform cost
Simpler managed pricing
Operations, finance, IT, and analysts all work from the same governed ERP data layer instead of passing extracts, screenshots, and report tickets around the business.
For Operations
Ask what is happening in inventory, fulfillment, purchasing, shipping, and customer activity.
For Finance
Get faster visibility into revenue, margin, order trends, and operational performance.
For IT
Modernize ERP reporting without stitching together a fragile stack of vendors.
For Analysts
Use the same clean datasets in Power BI, Tableau, Looker, Hex, Excel, SQL, or AI workflows.
Book a demo
Cetari gives your team one governed layer for operational answers, BI, SQL, and AI agents.