Detect Equipment Failures Before They Happen
Purpose-built for industrial operations, InfluxDB ingests millions of sensor readings per second and analyzes high-velocity machine and sensor data in real time. Give your engineers and operations teams the insight to predict failures before they happen, reduce unplanned downtime, and keep infrastructure costs predictable at any scale.
No credit card required
Deploy anywhere
400+ Telegraf plugins
Stop Reacting to Failures. Start Preventing Them.
InfluxDB breaks the data silos holding your operations back. No more siloed historians, no more batch pipelines running hours after the fact, no more legacy systems choking on continuous high-frequency ingestion — your maintenance teams get the signal the moment it matters, not after the damage is done.
InfluxDB eliminates the lag that costs you. Capture high-velocity machine telemetry from every asset the moment it's generated, and get ahead of the unplanned shutdowns that run hundreds of thousands of dollars per hour — with real-time analysis, ML model integration, and threshold alerting that fires before failures happen.
Real-Time Anomaly Detection at Any Scale
Ingest millions of data points per second from sensors, PLCs, and OT devices without performance degradation. Query years of historical data in sub-seconds and catch anomalies in real-time, not in tomorrow's report.
Predictable Costs as Data Volumes Grow
Scale your sensor fleet without scaling your infrastructure bill. Columnar storage keeps data costs efficient as asset counts grow, so you can expand without renegotiating your cloud budget every quarter while maintaining full data fidelity.
Edge to Cloud, Without the Complexity
Unify your operational data architecture from sensors on the factory floor to centralized analytics in the cloud. One platform, one query language, across your entire infrastructure.
Connect Everything with 400+ Integrations
Integrate natively with MQTT, OPC-UA, Modbus, and over 400 Telegraf plugins. Connect historian data, SCADA systems, and modern IIoT platforms without custom middleware. All queryable with standard SQL.
Enterprise Security
InfluxData is ISO 27001, ISO 27018, and SOC 2 Type II certified with end-to-end encryption.
Turn Machine Telemetry Into Maintenance Intelligence
Leading industrial operators use InfluxDB to build end-to-end predictive maintenance pipelines—from raw sensor ingestion to actionable alerts—without custom data infrastructure.
From Reactive Monitoring to Predictive Operations
From industrial equipment monitoring to predictive maintenance, InfluxDB turns reactive device management into proactive operations.
1M+
Data points ingested per second
600+
satellites monitored
Predictive Maintenance Without Complex Pipelines
Engineering teams detect equipment failures before they happen. The Processing Engine runs Python directly in the database for real-time anomaly detection on sensor patterns. No complex ETL pipelines to build and maintain.
$6M+
Real-time insights delivered daily
Simplified
architecture
Faster Anomaly Detection
Operations teams monitor sensor telemetry across distributed device fleets on unified dashboards. Real-time visibility means you identify whether issues started in firmware, network connectivity, or hardware sensors instantly.
20K+
Objects tracked daily with zero lag
100%
network visibility
Trusted Across IoT and Industrial Operations
Developers recognize InfluxDB as the leading time series database
Built for Engineers. Query with Standard SQL.
InfluxDB speaks your language. Whether you're monitoring vibration trends across 10,000 machines or correlating temperature spikes with cycle counts, write standard SQL—no proprietary query language to learn.
SQL Query Example
-- Identify machines approaching failure threshold in the last 6 hours
SELECT
machine_id,
AVG(vibration_hz) AS avg_vibration,
MAX(temperature_c) AS peak_temp,
COUNT(*) AS sensor_readings
FROM
equipment_telemetry
WHERE
time >= now() - interval '6 hours'
AND plant_id = 'houston-plant-02'
GROUP BY
machine_id
HAVING
AVG(vibration_hz) > 85.0 OR MAX(temperature_c) > 92.0
ORDER BY
peak_temp DESC;
Query 1M+ data points in milliseconds. Sub-10ms response times at scale across billions of sensor readings.
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 enterpriseYour Equipment Is Already Sending Signals. Build Smarter Maintenance Operations Today.
See how InfluxDB enables your team to move from reactive maintenance to real-time predictive intelligence—on your data, your infrastructure, your timeline.
IIoT Time Series Buying Guide
- Understand time series data and the modern factory
- Challenge with relational databases
- Data historians and their changing landscapes
- Time series storage tools and their architectures
- Unlocking the full potential of time series data
