Company Overview\r\n\r\nA leading global smart-hardware manufacturer operates multi-category production lines (e.g., smartphones, smart-home devices). Each day, the plants generate massive volumes of equipment telemetry, production logs, and business-system data. To achieve end-to-end traceability, real-time monitoring of core KPIs, and faster decisions, the company standardized on YMatrix HTAP as its data backbone.\r\n\r\n## Challenges\r\n\r\nData scale & timeliness – 180+ device types; daily new data ~130 GB. The platform must sustain rapid writes to keep FPY (first-pass yield), OEE, and UPH continuously up to date.\r\n\r\n- Lagging alerting – Threshold-only alarms trigger after degradation; by the time limits are crossed, yield has already dropped.\r\n\r\n- Hard-to-analyze data – Large volumes of unstructured and time-series data strain traditional databases, slowing process optimization and KPI computation.\r\n\r\n- Diverse scenarios – Power a central command screen for live KPIs and an in-house BI system for dashboards and labor statistics.\r\n\r\n- Legacy limits – Prior Hadoop-ecosystem + multi-DB stack (e.g., Greenplum, Oracle) struggled with real-time compute; complex reports were slow.\r\n\r\n## Why YMatrix HTAP\r\n\r\nYMatrix delivers a hyper-converged architecture that unifies transactions and analytics on one engine, simplifying the stack while meeting strict latency targets.\r\n\r\n- High-throughput ingestion with MatrixGate for rapid intake from large device fleets.\r\n\r\n- Real-time hybrid processing (HTAP) to write time-series, structured, and unstructured data in real time and query in seconds.\r\n\r\n- In-database streaming (Domino) for dynamic KPI computation (e.g., FPY) to surface anomalies instantly and reduce scrap.\r\n\r\n- Developer/Ops efficiency via PL/Python, decoupling algorithm work from DB operations and easing maintenance at scale.\r\n\r\n\r\n\r\n## Architecture at a Glance\r\n\r\n- Unified OLTP + OLAP on YMatrix HTAP—no dual systems, no cross-system drift.\r\n\r\n- Streaming pipelines in-DB—transforms and aggregations happen where data lives.\r\n\r\n- Elastic scale-out—add nodes to handle bursts in ingest or analytics without re-architecture.\r\n\r\n- Consistent data model—a single source of truth for shop-floor metrics and management dashboards.\r\n\r\n## Outcomes\r\n\r\n\r\n#### Higher production efficiency\r\n\r\n- Sustained ingest 50,000+ rows/second, supporting hundreds of thousands of devices.\r\n\r\n- Peak QPS up to 500,000 with P95 latency < 2.5 s, ensuring stable line operations.\r\n\r\n- By end-2024: 12 TB+ total data; largest single table 1.8 TB+—a robust foundation for plant-wide analytics.\r\n\r\n#### Lower production costs\r\n\r\n- One platform for multimodal data cuts architectural complexity and O&M effort.\r\n\r\n- Faster KPI queries for FPY/OEE/UPH and real-time alerting improve yield and reduce scrap and rework.\r\n\r\n#### Broader business support\r\n\r\n- Central command screen displays live core KPIs for management visibility.\r\n\r\n- In-house BI covers labor management and operational dashboards for continuous improvement.\r\n\r\n- In-database ML enables predictive maintenance and faster process iteration—sustaining competitive advantage.\r\n\r\n## What Made the Difference\r\n\r\n- HTAP on one stack → real-time KPIs without maintaining parallel OLTP/OLAP systems.\r\n\r\n- Domino streaming → second-level metric updates and early anomaly detection.\r\n\r\n- MatrixGate ingestion → smooth intake from heterogeneous devices and IoT platforms.\r\n\r\n- Operational simplicity → fewer moving parts, clearer ownership, faster change cycles.\r\n\r\n## Conclusion\r\n\r\nThis anonymized deployment shows how YMatrix HTAP resolves smart-factory pain points—multi-source data, complex analytics, and strict latency—while leaving room to scale. The same platform supports today’s needs and tomorrow’s roadmap (e.g., hot/cold tiering, digital twins). For leading manufacturers, YMatrix is becoming the standard data nerve center of the modern factory.\r\n\r\nResults at a Glance\r\n\r\n- 50k+ rows/s real-time ingest\r\n\r\n- Peak 500k QPS, P95 < 2.5 s\r\n\r\n- Unified OLTP + OLAP with in-DB streaming for instant FPY/OEE/UPH insights\r\n\r\n### Call to Action\r\n\r\nReady to modernize factory data with YMatrix HTAP? Contact us to request the manufacturing solution brief or book a technical demo.