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Comparison · Infra & APIs

Apache Pinot vs Dragonfly

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

Apache Pinot vs Dragonfly: at a glance

FeatureApache PinotDragonfly
SectorInfra & APIs, AnalyticsInfra & APIs
Velocity score6.35.0
Sparks · 30d10
Top themesreal-time-olap, sql-ddl, vector-search, materialized-viewsin-memory datastore, clustering, slot migration, performance
Last editorial update17h ago1h ago
WebsiteVisit →Visit →

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 →

What is Dragonfly?

Dragonfly speeds up slot lookups on 2.0 as its cluster-mode fixes keep coming.

Dragonfly maintains two incremental lines, 1.40 and 2.0, with small targeted releases. The 2.0 line has fixed dropped writes during slot migration and moved experimental slot-based sharding to Fibonacci hashing. i2.0.6 on October 30 makes GetSlotInfo faster, another cluster-mode refinement.

Read the full Dragonfly trajectory →

Apache Pinot vs Dragonfly: editorial side-by-side

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.

D
Dragonfly
INFRA · APIS
5.0

Dragonfly speeds up slot lookups on 2.0 as its cluster-mode fixes keep coming.

◆ Current state

Dragonfly maintains two incremental lines, 1.40 and 2.0, with small targeted releases. The 2.0 line has fixed dropped writes during slot migration and moved experimental slot-based sharding to Fibonacci hashing. i2.0.6 on October 30 makes GetSlotInfo faster, another cluster-mode refinement.

◆ Where it's heading

The 2.0 line is maturing through cluster and migration work, while 1.40 gets targeted performance backports. Release cadence has slowed from paired weekly builds to occasional single fixes.

◆ Prediction

Expect further 2.0.x builds focused on cluster mode and slot migration; whether scope-based memory tracking gets switched on is still unclear.

Alternatives to Apache Pinot and Dragonfly

Other Infra & APIs 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 Pinot or Dragonfly.

See all Apache Pinot alternatives → · See all Dragonfly alternatives →

Recent activity from Apache Pinot and Dragonfly

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

  1. 3d agoDragonflyi2.0.6: faster slot info lookups in cluster mode
  2. 4d agoApache PinotPinot 1.6.0: SQL DDL, IVF vector search, Java 25 requirement ⚡
  3. 10d agoApache PinotPinot 1.6.0 rc1 tag, no release notes
  4. 12d agoDragonflyi1.40.13: Sidekiq queues placed on the same shard
  5. 12d agoDragonflyi2.0.5: Fibonacci hashing evens out slot-based sharding
  6. 12d agoDragonflyi1.40.12: single-shard BLMOVE completes in one hop
  7. 12d agoDragonflyi2.0.4: slot migration no longer drops writes to empty buckets
  8. 13d agoDragonflyi2.0.3: storage read-lifetime fix backported
  9. 16d agoApache PinotPinot 1.6.0 RC0: first candidate with the 1.6 highlights
  10. 4mo agoApache PinotApache Pinot 1.5.1
  11. 6mo agoApache PinotApache Pinot Release 1.5.0 ⚡
  12. 1y agoApache PinotApache Pinot Release 1.4.0

Frequently asked questions

What is the difference between Apache Pinot and Dragonfly?

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.

Is Apache Pinot better than Dragonfly?

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 Infra & APIs products to evaluate alongside.

What are the best alternatives to Apache Pinot?

Top Apache Pinot alternatives in Infra & APIs 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.

What are the best alternatives to Dragonfly?

Top Dragonfly alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "Dragonfly alternatives" section above for the current picks, or visit /alternatives/dragonfly for the full list with editorial commentary on each.