Turn Plant Telemetry Into Real-Time Automotive Manufacturing Intelligence

Scrap, downtime, warranty exposure, and launch delays all trace back to the same root cause: process data trapped in short-retention historians and single-plant silos.

InfluxDB captures high-frequency machine, sensor, and process data at any scale and makes it usable for genealogy, warranty analytics, launch readiness, and Industrial AI, all while running alongside the historian you already have.

No credit card required

Deploy anywhere

400+ Telegraf plugins

How Fast Can You Trace a Defect to Its Build?

Historians weren't built for this: short retention, per-tag pricing, plant silos. A warranty claim means manually stitching historian exports, MES, and tooling logs to scope affected VINs.

InfluxDB gives OT and quality teams one place to query telemetry at the frequency APQP/PPAP need without touching the historian.

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Real-Time Performance, Predictable Cost

See OEE, scrap, and takt-time behavior by line and station as it happens, not in tomorrow's report. No per-tag pricing means adding sensors to a new line; it doesn't mean renegotiating your tag budget.

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Edge-to-Cloud Continuity

Run InfluxDB at the plant to capture torque, weld, and paint system telemetry for local dashboards and low-latency operational visibility, then operationalize across plants for benchmarking and OEM tier 1 reporting

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Purpose-built for Time Series

Built to handle the sensor growth that robots, torque tools, weld guns, and vision systems generate as Industry 4.0 and predictive maintenance programs scale, without the performance drop-off that breaks general-purpose databases.

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Simplicity & Developer-First Access

Quality, warranty, and reliability teams query genealogy and containment data directly with SQL and Python—no more waiting on OT to pull a historian export before an investigation, recall scoping, or PPAP submission can even start.

Enterprise Security

InfluxData is ISO 27001, ISO 27018, and SOC 2 Type II certified with end-to-end encryption.

Turn Plant Data Into a Foundation for Industrial AI and Digital Twins

From torque tools and weld cells to AI and analytics tools, InfluxDB turns scattered plant data into one queryable telemetry layer.

Manufacturing_Historian
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Faster Investigations and Launch Root Cause

Quality and warranty teams connect a defect back to the exact process conditions from the build window, instead of manually reconciling historian, MES, and tooling exports.

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Scale That Doesn't Break the Budget

Growth in sensor count and instrumentation frequency stops being a line-item fight every time a new line is added.

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Reliability Programs Built on Real Signal

Robots, tooling, and utilities get monitored at the resolution predictive maintenance actually needs, not the resolution the historian happens to retain.

Trusted Across Automotive Manufacturing and Industrial Operations

Built for Developers, Trusted by Engineers

Native SQL, 12+ client libraries, and a REST API that plugs into the tools your team already uses: Grafana, Power BI, Python, Databricks. Collect data at the edge through 400+ Telegraf plugins, including direct OPC UA and MQTT support for PLCs, SCADA, and assembly-line tooling.

-- Scrap rate by line and station over the last shift (8 hours)
SELECT
  line_id,
  station_id,
  COUNT(*) FILTER (WHERE result = 'reject') AS rejects,
  COUNT(*) AS total_units,
  ROUND(100.0 * COUNT(*) FILTER (WHERE result = 'reject') / COUNT(*), 2) AS scrap_pct
FROM quality_events
WHERE
  time >= NOW() - INTERVAL '8 hours'
GROUP BY line_id, station_id
HAVING COUNT(*) FILTER (WHERE result = 'reject') > 0
ORDER BY scrap_pct DESC;

Query millions of data points in milliseconds. Sub-second response times at scale.

Quick Start

Deploy locally in seconds

docker pull influxdb:3-enterprise
curl -O https://www.influxdata.com/d/install_influxdb3.sh && sh install_influxdb3.sh enterprise

Want Help Scoping This Against Your Plant Data?

What You'll Get

  • Technical consultation
  • Custom deployment architecture review (edge, cloud, or both)
  • Proof of concept on your own process data

Request a proof of concept.