Lima
Lima 2.3 nears release, with a Windows path that drops QEMU and a new TUI
A side-by-side editorial comparison of Apache Pinot and Tinylytics — release velocity, themes, recent moves, and the top alternatives to consider.
Pinot 1.6 adds SQL DDL and vector backends, and now needs Java 25 to run its services.
1.6.0 on 29 October lets operators manage tables through CREATE, DROP and SHOW statements, gives materialized views DDL and single-stage query rewrite, and adds GROUPING SETS, ROLLUP and CUBE to both query engines. Vector search gains IVF_FLAT, IVF_PQ and IVF_ON_DISK backends alongside HNSW. The release also removes legacy pieces: native text and FST indexes, Spark 2 and Presto integrations, and APIs deprecated through 1.3.0.
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.
1.6.0 on 29 October lets operators manage tables through CREATE, DROP and SHOW statements, gives materialized views DDL and single-stage query rewrite, and adds GROUPING SETS, ROLLUP and CUBE to both query engines. Vector search gains IVF_FLAT, IVF_PQ and IVF_ON_DISK backends alongside HNSW. The release also removes legacy pieces: native text and FST indexes, Spark 2 and Presto integrations, and APIs deprecated through 1.3.0.
Pinot is moving toward being operated like a SQL database. The multi-stage engine's SQL coverage has grown release by release, and table lifecycle now joins it, while vector backends pull retrieval workloads into the same store. The upgrade cost is real: Java 25 for services, Scala 2.13 for Spark artifacts, and mixed-version limits around SMART aggregation. Federation, the headline of 1.5, doesn't feature in the 1.6 highlights.
Expect materialized-view rewrite to reach the multi-stage engine, since it is single-stage only today. A security patch on 1.6 would match what followed 1.5.0.
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. Tap any card for the full editorial trajectory or compare directly with Apache Pinot.
Lima 2.3 nears release, with a Windows path that drops QEMU and a new TUI
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Other Analytics products tracked by Sparkpulse, ranked by recent ship velocity. Tap any card for the full editorial trajectory or compare directly with Tinylytics.
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Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. Apache Pinot is currently shipping more aggressively (velocity 6.3 vs 5.0), with 1 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. Apache Pinot is currently shipping more aggressively (velocity 6.3 vs 5.0), with 1 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 Pinot alternatives in Analytics are ranked by recent ship velocity. Browse the "Apache Pinot alternatives" section above for the current picks, or visit /alternatives/apache-pinot 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.