Tinybird × Dub
Tinybird x Dub: 100x faster analytics without the cluster headache
100x faster queries (5+ seconds to milliseconds)
Slow, inflexible analytics to sub-second user-facing dashboards
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Why it works
The story earns its headline number by anchoring it to a concrete before state: specific queries taking over 5 seconds on Redis, now returning in milliseconds. The mechanism is clear enough to replicate: swap Redis Sorted Sets for Tinybird's managed ClickHouse layer, use the Events API for ingestion, and expose SQL queries as REST endpoints. There is a secondary New Capability angle in that Dub could not practically offer real-time user-facing analytics before, but the framing leads with speed, so Efficiency is the right primary tag.
Steal this
Pairing a concrete before-latency number (5+ seconds) with a concrete after-latency category (milliseconds) gives the 100x claim immediate credibility without requiring a reader to do math.
Click to enlarge ↗ 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.