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Tiger Data × Kempower

Tiger Data x Kempower: 93% compression across 20,000+ EV charging points

93% storage compression, 17 TB reduced to ~2 TB

Linear cost dread to predictable, decoupled pricing

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Why it works

The case study earns its technical depth by naming a specific displaced competitor (Elasticsearch), showing exact before-and-after storage numbers (17 TB to 2 TB), and explaining the data model decision (key-value hypertable) in enough detail that an engineer could replicate it. The cost argument is concrete: not just 'cheaper' but a structural shift from per-gigabyte-ingested pricing to per-instance pricing, which decouples cost from fleet growth. The quote is thin and leans on praise for documentation rather than on business outcomes, which limits the emotional punch.

Steal this

Show the pricing model shift, not just the price drop. Explaining that the customer moved from a cost structure that scales linearly with growth to one that does not is more persuasive than any percentage savings figure alone.

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This is editorial commentary and curation. The case study, screenshot, and all metrics are Tiger Data's published work; we link to the source and lead with our analysis.

  • Vendor Tiger Data
  • Customer Kempower
  • Industry Industrial / Manufacturing
  • Trigger Elasticsearch storage costs scaling linearly with fleet growth became unsustainable
  • Format Technical deep dive
  • Structure Challenge-Solution-Results
  • Medium Web page