Why a purpose-built time series database?

Sensor data is time-stamped to help you understand how your processes and equipment are performing over time, facilitating further innovation and improvement.

Why InfluxDB for industrial IoT?

The industrial world has a history of modernizing processes in order to keep production running efficiently and safely while minimizing downtime. Yet many are locked in established data historian solutions that are costly and lack the methods needed to provide innovation and interoperability.

In contrast, InfluxDB—the open source time series database—inherently provides diverse design perspectives not available from a single software vendor. It provides the freedom to integrate with other solutions and allows you to adapt the code to fit your ever-changing system requirements.

Scalability

Collecting event data from your equipment is just the beginning. InfluxDB is a high-performance data store written specifically for time series data. It allows for high throughput ingest, compression, and real-time querying.

Open

Using open source tools provides the operator with the freedom to quickly innovate and never be locked in to a single solution that could easily and quickly become obsolete.

Built for developers

InfluxDB provides write and query capabilities with a command-line interface, a built-in HTTP API, a set of client libraries (e.g., Go, Python, and JavaScript), and Telegraf plugins for common data formats such as OPC-UA, ModBus, MQTT, and more. Manufacturing engineers use the purpose-built time series platform to process data at the edge and replicate it in the cloud.

Improve factory operations
  • Use sensor data to gain insights into specific machine conditions (i.e., vibration, temperature, etc.)
  • Aggregate all machinery data to create a single source of truth
  • Better safety across manufacturing plants
Increase profitability
  • Increase factory output by reducing silos across organizations
  • Enable predictive maintenance, resulting in reduced machine downtime
  • Simplify processes by increasing overall equipment effectiveness
Modernize the manufacturing industry
  • Replace legacy historians, allowing for better Industry 4.0 monitoring
  • Create digital twins used to detect reliability threats
  • Able to ingest sensor metrics quickly at scale

Related resources for developers:

InfluxDB Integrations
Get Blueprint
InfluxDB Edge Data Replication
Free InfluxDB training

“We needed a database with historical capabilities—InfluxDB was a perfect choice as it is a high-performance database optimized for storing time series data.”

Dr. Göran Appelquist
CTO, Crosser