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 Displayr — 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.
Displayr's Chat can now apply and write Rules, so it changes tables as well as explaining them.
Rules, Displayr's mechanism for customizing a table's appearance and data, now work through Chat: it applies existing rules and writes custom ones, and a rule can cover every table in a document, including new ones. Two smaller additions landed with it at the end of September: document duplication through the API and a shortcut from a control to its input. Summer work made Chat auditable, with a context pill, a change summary and an Explain This button, while the core gained shared controls and rolling averages.
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.
Rules, Displayr's mechanism for customizing a table's appearance and data, now work through Chat: it applies existing rules and writes custom ones, and a rule can cover every table in a document, including new ones. Two smaller additions landed with it at the end of September: document duplication through the API and a shortcut from a control to its input. Summer work made Chat auditable, with a context pill, a change summary and an Explain This button, while the core gained shared controls and rolling averages.
Chat is starting to do work that changes results, which tests the auditing features built over the summer. The other track stays steady, closing gaps a long-standing survey analysis platform accumulates. API document duplication hints at more automated reporting workflows, though it is a single endpoint so far.
Expect the change summary to extend to rules Chat writes, since a rule applied across a document is harder to inspect than a single edit. Folder-scoped defaults still look like the start of broader template governance.
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.
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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 0.0), 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 0.0), 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 Displayr alternatives in Analytics are ranked by recent ship velocity. Browse the "Displayr alternatives" section above for the current picks, or visit /alternatives/displayr for the full list with editorial commentary on each.