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Tinybird × Canva

Tinybird x Canva: User-facing analytics 10x cheaper and 8x faster

10x lower compute costs, 8x faster development cycle

Sprawling custom workarounds to purpose-built self-serve platform

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Why it works

The case study earns its efficiency tag with four concrete, attributed metrics rather than vague claims, and backs each one with a specific before-and-after scenario. The before-state is unusually detailed: named databases, named failure modes, and a multi-team sprawl problem that readers in similar situations will recognize immediately. The story also edges into New Capability territory because shipping live creator analytics to end users was practically impossible before, not just slow or expensive.

Steal this

Anchor each result metric to a specific feature story (Creator Insights, Brand Reports) so every number feels earned and traceable rather than a summary stat dropped at the top.

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

  • Vendor Tinybird
  • Customer Canva
  • Industry SaaS
  • Trigger Product teams wanted to surface real-time analytics to end users but Snowflake could not meet latency or concurrency requirements
  • Format Written narrative
  • Structure Challenge-Solution-Results
  • Medium Web page