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
When a Defect or Warranty Claim Shows Up, How Fast Can You Trace It Back to the Build Window?
Historians weren't built for this. Short retention, per-tag pricing, and plant-level silos mean a warranty claim turns into a manual scramble: stitching together historian exports, MES records, and tooling logs by hand, station by station, just to scope which VINs and build windows are affected.
InfluxDB gives OT, quality, and reliability teams one place to capture and query telemetry at whatever frequency and retention APQP, PPAP, and containment scoping actually need. It — never touches the historian that already runs your plant.
Real-Time Performance, Predictable Cost
See OEE, scrap, and takt-time behavior by line and station as it happens, not in tomorrow's report. Compute-based pricing means adding sensors to a new line; it doesn't mean renegotiating your tag budget.
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 replicate to the cloud for cross-plant benchmarking and OEM/Tier 1 reporting. One platform, not a pipeline per site.
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.
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.
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.
108M+
data points/minute
100%
network visibility
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.
1M+
data points/sec
600+
satellites monitored
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.
1,200+
hours saved
Simplified
architecture
Trusted Across Automotive Manufacturing and Industrial Operations
Developers recognize InfluxDB as the leading time series database
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.
SQL Query Example
-- 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-enterprisecurl -O https://www.influxdata.com/d/install_influxdb3.sh && sh install_influxdb3.sh enterprisecurl -O https://www.influxdata.com/d/install_influxdb3.sh && sh install_influxdb3.sh enterpriseWant Help Scoping This Against Your Plant Data First?
What You'll Get
- Technical consultation
- Custom deployment architecture review (edge, cloud, or both)
- Proof of concept on your own process data
