Utility meter readings stream in as write-heavy time-series appends that grow sparse columns over long periods. Which NoSQL family is typically suited to this pattern?
Select an answer to reveal the explanation.
Short Explanation
Meters just keep appending readings—tons of writes, lots of sparse columns over time. Wide-column stores like the Cassandra-style family are built for that grind. Think rows that stretch sideways as time marches on.
Full Explanation
Wide-column or column-family systems organize data for high write throughput and sparse, evolving columns—common in time-series telemetry. Municipal meter heartbeats fit append-heavy patterns better than graph-centric or spreadsheet approaches. Cassandra-style architectures are frequently cited for this class of distributed wide-column workload. Matching the store type to write-heavy time-series access avoids forcing the wrong model onto meter data.