Apache Pinot
Pinot 1.6 adds SQL DDL and vector backends, and now needs Java 25 to run its services.
A side-by-side editorial comparison of Apache Druid and Tinylytics — release velocity, themes, recent moves, and the top alternatives to consider.
Druid 38 drops Java 17, recommends Java 25 and took longer to arrive than its predecessors
Druid 38.0.0 shipped on October 1 with over 250 changes from 37 contributors. It adds Java 25 support, drops Java 17, and introduces Historical tier aliases and a realtimeSegmentsMode query context that replaces realtimeSegmentsOnly. MSQ workers now fetch input files in the background by default, and Druid 38 is the last major that reads legacy ZSTD frames.
Tinylytics is cleaning its numbers and adding an AI-ranked SEO audit for Ultra customers
Tinylytics shipped a simpler embed script, moved widget setup into Settings, and now excludes hits from cloud hosting networks and Tor, after filtering a Singapore bot source in September that accounted for around 95% of traffic from that country. On Ultra, a new SEO audit has an AI model rank findings into a fix list, with weekly re-checks. Form tracking, Named Goals, stat cards, and timestamped hit imports fill out the period.
Druid 38.0.0 shipped on October 1 with over 250 changes from 37 contributors. It adds Java 25 support, drops Java 17, and introduces Historical tier aliases and a realtimeSegmentsMode query context that replaces realtimeSegmentsOnly. MSQ workers now fetch input files in the background by default, and Druid 38 is the last major that reads legacy ZSTD frames.
The release is operator-focused: tier aliases and segment-mode controls target blue/green deployments and large clusters, and background fetching and Dart prefetching chase throughput. Compatibility remains a stated part of shipping, with explicit deprecations and upgrade notes. The gap from 37.0.0 was nearly five months, against about three for the release before, so the quarterly rhythm has loosened.
A 39 release candidate is the next visible step, and removal of legacy ZSTD frame support is already announced for a future release. Timing is less certain now that the last gap ran past a quarter.
Tinylytics shipped a simpler embed script, moved widget setup into Settings, and now excludes hits from cloud hosting networks and Tor, after filtering a Singapore bot source in September that accounted for around 95% of traffic from that country. On Ultra, a new SEO audit has an AI model rank findings into a fix list, with weekly re-checks. Form tracking, Named Goals, stat cards, and timestamped hit imports fill out the period.
Three lines are running together: data quality, tools that say what to do next, and agent access. Each filtering change makes the numbers more defensible, the SEO audit moves the product from reporting toward recommending, and the MCP and API keep gaining tools with most releases. The old-hit import, with its original timestamps, also courts users switching from other analytics tools.
Expect more audit-style features on Ultra and MCP tools that follow each new dashboard surface, as content issues and widget settings just did. Further traffic filtering is likely, given how often it has come up since September.
Other Analytics products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either Apache Druid or Tinylytics.
Pinot 1.6 adds SQL DDL and vector backends, and now needs Java 25 to run its services.
Displayr's Chat can now apply and write Rules, so it changes tables as well as explaining them.
Mode resurfaces after almost five quiet months with per-user Snowflake sign-in
Lighthouse 13.6 shifts Calibre's scores and adds audits for how AI agents read your pages
Superwise now measures the tokens it saves and can shorten model replies to save more
Channels 2.0 is now the default, and Dovetail is pulling feedback sources up a level.
See all Apache Druid alternatives → · See all Tinylytics alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. Tinylytics is currently shipping more aggressively (velocity 5.0 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Tinylytics is currently shipping more aggressively (velocity 5.0 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
Top Apache Druid alternatives in Analytics are ranked by recent ship velocity. Browse the "Apache Druid alternatives" section above for the current picks, or visit /alternatives/apache-druid for the full list with editorial commentary on each.
Top Tinylytics alternatives in Analytics are ranked by recent ship velocity. Browse the "Tinylytics alternatives" section above for the current picks, or visit /alternatives/tinylytics for the full list with editorial commentary on each.