Europe’s largest forklift manufacturer used Dremio to cut data latency from 30 minutes to 3 seconds and scale supply chain analytics globally.
The Agentic Lakehouse for Manufacturing
Unify fragmented OT and IT manufacturing data, accelerate AI-driven predictive maintenance, and activate plant analytics without ETL, data duplication, or vendor lock-in.
Trusted by leading manufacturing companies
BENEFITS
Built for modern manufacturing data teams
Dremio gives manufacturing data teams the fastest path to trusted AI and analytics, unifying historian, ERP, MES, and supply chain data without duplication, ETL, or lock-in. Operations analysts, data scientists, and AI agents get governed access to a single query layer across OT and IT systems, without waiting on data engineering.
Fastest Path to Manufacturing AI and Analytics
Unifies operational and enterprise data with business context, enabling accurate predictive insights and consistent AI-driven analytics.
Dive into the AI Semantic Layer →
All Your Manufacturing Data, Where It Lives
Query operational and enterprise data in place with zero ETL, reducing costs and enabling unified access across all systems and data sources seamlessly.
Learn about Dremio's Intelligent query engine →
Governance and Compliance Built In
Enforce fine-grained access, full lineage, and audit-ready governance across regulated workloads, ensuring compliance without slowing operations or engineering teams.
Review our certifications →
USE CASES
Manufacturing Use Cases
Find the use case for your team below. Dremio connects operations analysts, data scientists, and AI agents to the same governed, always-current manufacturing data foundation.
Manufacturing and operations teams connect historian telemetry with maintenance history and work orders through a single SQL layer, identifying equipment failure patterns before breakdowns occur. The AI Semantic Layer maps raw sensor tags to business definitions, compressing model development from months to weeks without data extraction.
S&OP and supply chain teams unify demand signals, inventory, supplier lead times, and logistics data across multiple ERP instances through a single SQL layer, without data movement. Dremio enables real-time demand-supply balancing and OTIF reporting based on current data, with S&OP cycles that previously required manual preparation compressed to minutes.
Quality and engineering teams correlate vision inspection results, SPC data, and material lot traceability in real time to identify defect root causes before final assembly. Dremio federates quality, production, and supplier data into a single query layer without centralizing stores, reducing yield loss investigation time from days to hours.
Operations teams get real-time OEE reporting across a multi-plant footprint without centralizing historian data or building custom ETL pipelines per site. Dremio queries historian databases, MES, and production logs in place so plant managers and analysts share the same governed metrics, with each site retaining data sovereignty.
ML engineers and planning teams build demand forecasting models on unified historical sales, inventory, supplier lead times, and external signals through a single SQL layer without ETL. The AI Semantic Layer makes product hierarchies, seasonality definitions, and supply chain taxonomies immediately available to forecasting models and agentic workflows.
CUSTOMER STORIES
Trusted by manufacturing data teams worldwide
Michelin improved data access, governance, and performance with Dremio, unifying 16 domains across 100,000+ employees.
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FAQs
Frequently Asked Questions
Get common questions answered about Manufacturing.
Yes. Dremio queries historian systems, MES, and ERP platforms directly through native connectors, without data extraction or replication. Production data stays in existing systems while operations analysts and AI agents query across all sources through a single SQL interface.
Dremio sits above existing OT and IT systems as a query and semantic layer, with no agents, syncs, or changes required on production infrastructure. Historian databases, MES systems, and SAP instances remain untouched while Dremio federates queries across them.
Dremio provides column-level access controls, full query lineage, and immutable metadata through Polaris Catalog, supporting the audit trail and data access governance that ITAR export controls and ISO 9001 quality management requirements demand. Access policies are configured once at the platform level and enforced consistently across every query.
Dremio connects directly to SAP S/4HANA alongside your historian, MES, and supply chain systems through a single federated query layer. Production data stays in SAP while S&OP teams, operations analysts, and AI agents run cross-system analytics without requiring SAP to be the integration hub.
Zero ETL means Dremio queries data where it already lives, in your historian, ERP, MES, and cloud storage, without extracting, transforming, or loading it into a separate copy. This eliminates pipeline maintenance overhead, reduces data duplication costs, and ensures analytics always reflect the current state of production systems.
Dremio queries live event data from streaming sources alongside batch historian and ERP data in a single SQL layer. Operations teams get current-state OEE, quality, and supply chain analytics without waiting for batch processing cycles.
