SQL queries on historical data

SQL-based Query Interface for querying the data lake enables you to connect any application that supports ODBC, JDBC, Apache Arrow Flight, or REST protocols.
SQL queries on historical data

Cost-efficient long-term storage

Create offloading pipelines into your preferred data lake. Save significantly on storage costs, up to 1000 times cheaper, enabling longer retention of data storage for AI/ML model training.
Cost-efficient long-term storage

Integrate your BI tooling of choice​

By offloading your data, your business analysts can easily connect to their BI tools such as Microsoft Power BI or Tableau and start creating fleet-wide machine usage reports in minutes.

You can then embed your reports back into Cumulocity and let those insights help your customers to increase the operational efficiency or reduce the energy consumption of your machine.

For more detailed information, visit the Cumulocity documentation.

Integrate your BI tooling of choice​

Incremental Extract-Transform-Store

Scheduled, regular data extraction from the Cumulocity operational storage, transformation into an optimized columnar format that is highly efficient for analytical queries, and incremental storage of your IoT data in the configured historical store.
Incremental Extract-Transform-Store

Available from Cloud to Edge

By offloading your data, your business analysts can easily connect to their BI tools such as Microsoft Power BI or Tableau and start creating fleet-wide machine usage reports in minutes.

You can then embed your reports back into Cumulocity and let those insights help your customers to increase the operational efficiency or reduce the energy consumption of your machine.

For more detailed information, visit the Cumulocity documentation.

Available from Cloud to Edge

Ready to start building IoT solutions that change the game?

Ready to start building IoT solutions that change the game?

Start fast.

Scale easily.

Evolve with the market.