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
Cumulocity is a key component of our strategy to internalize and validate the data we’ve gathered over the last decade.
Sébastien Trédan

Sébastien Trédan

Chief Technical and Data Officer
Greenflex

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

Cumulocity DataHub Edge offers the same functionality as the cloud variant of Cumulocity DataHub, but stores the data locally using a NAS as a data lake.
Available from Cloud to Edge

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