Tiger Data × Everactive
Tiger Data x Everactive: One Database Replaces a Fragmented IoT Stack
3x compression ratio
Fragmented sprawl to single system of record
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Why it works
The case study earns its Efficiency tag by anchoring on concrete cost-per-sensor economics and a 3x compression result, both directly tied to Everactive's business model. The before-state is specific: multiple databases, custom ETL between them, and weeks of work to support each new use case. The mechanism is clear enough to replicate: consolidate time-series ingestion and analytics into a single managed TimescaleDB instance with hypertable compression, a read replica for operational queries, and direct Grafana and Tableau connections that remove middleware entirely.
Steal this
Anchor the cost story on the customer's own unit metric (cost per sensor) rather than a generic infrastructure saving. It makes the ROI feel native to the business model and immediately credible to the target reader.
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