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Apache Druid vs Apache Pinot

A side-by-side editorial comparison of Apache Druid and Apache Pinot — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:apache-project

Apache Druid vs Apache Pinot: at a glance

FeatureApache DruidApache Pinot
SectorAnalytics, Infra & APIsInfra & APIs, Analytics
Velocity score0.06.3
Sparks · 30d01
Top themesreal-time-analytics, apache-project, java-upgrade, operator-toolingreal-time-olap, sql-ddl, vector-search, materialized-views
Last editorial update2h ago59m ago
WebsiteVisit →Visit →

What is Apache Druid?

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.

Read the full Apache Druid trajectory →

What is Apache Pinot?

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.

Read the full Apache Pinot trajectory →

Apache Druid vs Apache Pinot: editorial side-by-side

Apache Druid logo
Apache Druid
ANALYTICSINFRA · APIS
0.0

Druid 38 drops Java 17, recommends Java 25 and took longer to arrive than its predecessors

◆ Current state

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.

◆ Where it's heading

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.

◆ Prediction

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.

Apache Pinot logo
Apache Pinot
INFRA · APISANALYTICS
6.3

Pinot 1.6 adds SQL DDL and vector backends, and now needs Java 25 to run its services.

◆ Current state

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.

◆ Where it's heading

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.

◆ Prediction

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.

Apache Druid alternatives

Other Analytics products tracked by Sparkpulse, ranked by recent ship velocity. Tap any card for the full editorial trajectory or compare directly with Apache Druid.

See all Apache Druid alternatives →

Apache Pinot alternatives

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.

See all Apache Pinot alternatives →

Recent activity from Apache Druid and Apache Pinot

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 4d agoApache PinotPinot 1.6.0: SQL DDL, IVF vector search, Java 25 requirement ⚡
  2. 10d agoApache PinotPinot 1.6.0 rc1 tag, no release notes
  3. 16d agoApache PinotPinot 1.6.0 RC0: first candidate with the 1.6 highlights
  4. 1mo agoApache DruidDruid 38.0.0
  5. 1mo agoApache DruidDruid 38.0.0 release candidate 1 tagged
  6. 4mo agoApache PinotApache Pinot 1.5.1
  7. 5mo agoApache DruidDruid 37.0.0
  8. 6mo agoApache PinotApache Pinot Release 1.5.0 ⚡
  9. 6mo agoApache Druiddruid-37.0.0-rc1
  10. 8mo agoApache DruidDruid 36.0.0
  11. 9mo agoApache Druiddruid-36.0.0-rc1
  12. 1y agoApache PinotApache Pinot Release 1.4.0

Frequently asked questions

What is the difference between Apache Druid and Apache Pinot?

Both compete on the same themes — apache-project — within Analytics. 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.

Is Apache Druid better than Apache Pinot?

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.

What are the best alternatives to Apache Druid?

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.

What are the best alternatives to Apache Pinot?

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.