We rank OLAP and analytics engines using every public benchmark—messy or not—powered by ELO ratings. See the winners, track the history, and add your own results to shape the leaderboard.
Benchmarks lie. But if we collect all of them, a clearer picture emerges.
We use ELO rankings—the same system used in chess—to pit analytics and OLAP engines against each other, track their wins, and see who really dominates.
How it works:1. We grab every public performance test (TPC-DS, TPC-H, SSB Wide Table, and more—even the messy ones).2. We turn results into “matches” — sometimes 1-on-1, sometimes 3- or 4-way battles.3. The ELO system updates the rankings after every match.
Get Involved:- See the full leaderboard and historical performance.- Sort and explore engines by data workload: TPC-DS, TPC-H, SSB Wide Table or others.- Got results? Publish them online and email atwong@alumni.uci.edu — we’ll add them (even backdated ones) to the rankings.
The game is on.
Explore the live rankingsAlbert is a Sales Engineer and DevRel leader with a unique blend of deep technical knowledge and a proven go-to-market mindset. He has a track record of success at both VC-backed startups and major technology companies.
Albert is available to speak at meetups and conferences on ELO analytics engine rankings and offers advisory consulting for analytics engine selection and strategy.
Georg is a Senior data expert at Magenta and a ML-ops engineer at ASCII. He is solving challenges with data. His interests include geospatial graphs and time series. Georg transitions the data platform of Magenta to the cloud and is handling large scale multi-modal ML-ops challenges at ASCII.