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Case studies

Real engagements, measured outcomes

Real environments with thousands of tables, not 2–3 table demos. Client names are withheld where an NDA applies.

Oracle EBSOracle Agile PLMLabWare LIMSoracdc CDCLakehouseDW · OLAPfederated SQLsemantic · AIBIAI≤ 30 s
Lakehouse & Analytics

One lakehouse across ERP, PLM, and LIMS — with 30-second replication

Oracle E-Business Suite, Oracle Agile PLM, and LabWare LIMS replicated continuously into a centralized lakehouse — retiring an OBIA/OBIEE analytics stack and nightly ETL in favor of 30-second near-real-time analytics with AI-assisted exploration.

US consumer healthcare manufacturer · NDAManufacturing / Life sciences
SQL Server ERPCDC · Change Trackingper-table change logKafkaMongoDB catalognamedescription ← updcomponents[ ]certificates[ ]PortalEDI1 message per changed table · field-level update
CDC & Streaming

SQL Server ERP to a MongoDB product catalog — field-level change replication across storage models

An ERP on Microsoft SQL Server replicated continuously into the MongoDB product catalog behind a public customer portal and partner e-document exchange. SQL Server CDC and Change Tracking feed Apache Kafka, and each message updates only the fields of the catalog document that derive from the changed table — no document rebuilds.

Manufacturer with a public product portal · NDAManufacturing
Oracle EBSproduction ERPoracdc CDCLakehouseanalytical storageBI✕ direct reporting on the ERP, retiredreporting load moved off the production database
Oracle EBS

Oracle E-Business Suite analytics, migrated to a modern lakehouse

Reporting moved off the production ERP onto a centralized lakehouse fed by continuous oracdc change data capture — analytics that scale independently of E-Business Suite.

Enterprise EBS operator · NDAEnterprise

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