How does Motran use Tiger Data?

Motran builds IoT analysis platforms and monitoring dashboards on Tiger Data. We ingest sensor data and metrics in real time and build analytical interfaces that visualise trends, anomalies, and patterns across arbitrary time periods.

Which sectors benefit from Tiger Data?

Tiger Data is essential for the financial sector for analysing price and transaction data, retail for sales trends over time, and healthcare for monitoring medical equipment and patient metrics.

Tiger Data.

Databases

Timescale's powerful time-series database for IoT, monitoring, and high-performance analytics.

By Timescale

About

What is Tiger Data?

Tiger Data is Timescale's powerful time-series database, optimised for storing and analysing time-bound data. Built on PostgreSQL, it offers superior performance for IoT data, monitoring metrics, and financial time series. Tiger Data efficiently compresses data and executes analytical queries at lightning speed across billions of data points.

Our approach

How Motran uses Tiger Data.

Motran deploys Tiger Data for clients with IoT applications, monitoring systems, and financial data requiring time-series analysis. We build dashboards and alerting systems providing real-time insight into sensor data, machine performance, and financial metrics. PostgreSQL compatibility makes integration with existing systems straightforward.

Use cases

How Tiger Data adds value.

Time-series data

Time-series data: sensor data, metrics, and time-bound events are efficiently stored and queried at lightning speed over long periods.

IoT data storage

IoT data storage: millions of data points from sensors and devices are continuously ingested and analysed for real-time insights.

Monitoring and analytics

Monitoring and analytics: application and infrastructure metrics are stored and visualised for proactive management and trend analysis.

Benefits

Sector benefits.

Tiger Data is indispensable for the financial sector in analysing price and transaction time series, the retail sector for recognising sales patterns and seasonal trends, and healthcare for continuous monitoring of medical equipment and analysing patient metrics over time.